{ "schema_version": "anonymous-public-1", "as_of": "2026-10-23", "historical_cutoff": "2026-09-27", "model": { "schema_version": 1, "as_of": "2026-10-22", "sector_horizon": "2027-06-30", "company_horizon": "calendar 2027", "classification": "Supplied-model reconstruction; scenario outputs, not calibrated probabilities or investment recommendations", "deck_claims": { "price_compression": 0.92, "constraint": 0.62, "joint_shock": 0.4, "systemic_crash": 0.12, "status": "attributed claims; original simulation not supplied" }, "reconstructed_audit": { "as_of": "2026-10-22", "endpoint": "2027-06-30", "draws": 250000, "seed": 20261022, "caveat": "Conditional model frequencies; not empirical default probabilities or a replication of V2.", "probabilities": { "pricecurrent": { "p": 0.146544, "numerical_95_interval": [ 0.14516314559178603, 0.14793571653465973 ] }, "pricepeak": { "p": 0.93604, "numerical_95_interval": [ 0.9350741494398206, 0.9369924505284487 ] }, "scoreflag": { "p": 0.571544, "numerical_95_interval": [ 0.5696031193793062, 0.5734826819878388 ] }, "constraint": { "p": 0.41094, "numerical_95_interval": [ 0.40901276103622314, 0.41286997588430235 ] }, "joint": { "p": 0.07948, "numerical_95_interval": [ 0.07842616252620116, 0.08054676055733107 ] }, "tail": { "p": 0.021816, "numerical_95_interval": [ 0.021250672432903326, 0.022396022734450866 ] }, "scorejoint": { "p": 0.130444, "numerical_95_interval": [ 0.12912947884176604, 0.13176987805697324 ] }, "scoretail": { "p": 0.03556, "numerical_95_interval": [ 0.03484117384763768, 0.03629309895012633 ] } }, "predictive_quantiles": { "jobs": { "p2_5": 0.3771953619513364, "p10": 0.5845660455917597, "p50": 1.3080040045749635, "p90": 2.551064706905711, "p97_5": 3.3400963953881186 }, "tokens": { "p2_5": 0.3319619211667746, "p10": 0.5799507775899166, "p50": 1.6470117080260263, "p90": 4.056764873794501, "p97_5": 5.905366506167045 }, "revenue": { "p2_5": 0.2050441659626325, "p10": 0.39502588949457085, "p50": 1.3512223498660596, "p90": 3.9396017341210463, "p97_5": 6.177339441630439 }, "util": { "p2_5": 0.14371034960939377, "p10": 0.20099487156020934, "p50": 0.46165315102546667, "p90": 1.0, "p97_5": 1.0 }, "supply_work": { "p2_5": 0.5224445550779584, "p10": 0.8248341594365669, "p50": 2.166128397001767, "p90": 4.975251319820211, "p97_5": 6.9584410783524415 }, "funding": { "p2_5": 13.185188480831428, "p10": 13.587277263076613, "p50": 14.578748872297716, "p90": 15.571769840928692, "p97_5": 15.973668642798227 }, "labs": { "p2_5": 109.41775142935695, "p10": 114.77640212095078, "p50": 128.01668170269713, "p90": 141.23630315897847, "p97_5": 146.5974869222476 } }, "scenario": { "1": 0.58906, "2": 0.33146, "3": 0.057664, "4": 0.021816 }, "scorescenario": { "1": 0.428456, "2": 0.4411, "3": 0.094884, "4": 0.03556 }, "model_specification_quantiles": { "note": "Sensitivity distribution over128 analyst weight/cutoff choices; not a calibrated posterior.", "p2_5_p10_p50_p90_p97_5": [ [ 0.3566792, 0.10175580000000001, 0.0288839 ], [ 0.3858488, 0.10644200000000001, 0.030610000000000002 ], [ 0.562372, 0.13039, 0.0356 ], [ 0.7368808, 0.14598999999999998, 0.0386632 ], [ 0.7652942, 0.1498919, 0.03952 ] ], "columns": [ "score", "scorejoint", "scorethin" ] } }, "valuation": { "gdp_bn_annual": 32563, "equity_gdp_anchor": 0.1, "equity_bn": 3256.3, "sales_multiple": 15, "required_revenue_bn": 217.08666666666667, "mixed_current_run_rate_bn": 117.2, "classification": "illustrative stock/flow valuation anchor; not consensus" }, "runway_contract": { "classification": "Scenario cash path; actual borrower runway UNAVAILABLE", "formula": "cash[t] = cash[t-1] + operating cash flow[t] + available executed financing[t] - cash capex[t] - principal due[t] - incremental financing costs[t]", "default_period": "quarter", "cash_units": "USD billion", "timing_assumed": true, "actuals_missing": [ "January 2027 unrestricted borrower cash", "monthly cash receipts and capex/maturity calendar", "executed funding availability and conditions", "covenants, recourse, and priority waterfall" ], "limits": "A cash-floor breach is not a legal insolvency date. Do not include optional rescue or backlog as available cash. OCF already includes fixed operating costs and operating cash interest; gross-contribution-margin variants must instead deduct them explicitly and not also apply OCF margin." }, "interactive_defaults": { "accepted_jobs_multiple": 1.2644007155635064, "tokens_per_job_multiple": 1.1, "net_price": 0.55, "current_price": 0.68, "capacity_growth": 0.4, "performance_multiple": 1.5, "busy_compute_multiple": 1.1884300850070215, "baseline_utilization": 0.72, "cash_revenue_bn": 24, "ocf_margin": 0.4, "capex_bn": 18, "principal_bn": 6.18, "opening_cash_bn": 2, "cash_floor_bn": 1, "executed_funding_bn": 14 }, "must_display": [ "Net effective price already incorporates mix, caching and discounts. Do not subtract them again.", "Potential demand can exceed capacity. Unserved work is not recognized revenue.", "OCF includes existing operating cash interest. Add only incremental financing costs separately.", "Backlog and commitments are not cash; availability and payment dates matter.", "Source verification statuses in this extracted file are inherited from the supplied model, not newly certified.", "The thin-bridge proxy is not a systemic-crash probability." ], "controls": { "scenario": 2, "n_draws": 512, "seed": 20261022, "baseline_price": 0.68, "peak_price": 1.15, "adoption0": 0.559, "frontier0": 0.45, "cache0": 0.85, "success0": 0.55, "blocked0": 0.65, "util0": 0.72, "months": 9, "rho_global": 0.1, "rho_group": 0.35, "wc": 0.5, "wp": 0.3, "wf": 0.2, "score_cut": 0.492, "price_drop": 0.35, "spend_cut": 0.1, "frontier_cut": 0.4, "util_cut": 0.7, "target_cut": 0.8, "refi_cut": 0.14, "bridge_cut": 250, "systemic_cut": 200, "n_fin": 2, "input_v2": 0.75, "cache_v2": 0.85, "input_agent": 0.99, "cache_agent": 0.9090909090909092, "long_haiku": 0, "price_profile": 2, "pue": 1.4, "hours": 8760, "kw_per_gw": 1000000, "kwh_per_twh": 1000000000, "token_unit": 1000000000000000.0, "million": 1000000.0, "billion": 1000000000.0, "pwr_cache": 0.05, "pwr_output": 5, "train_share": 0.3, "idle_watt": 0.35, "api_share": 0.6, "gdp": 32563, "gdp_anchor": 0.1, "sales_multiple": 15, "oai_rr": 50, "ant_q3": 16.8, "oai_target": 70, "ant_target": 90, "google_tpm": 22, "ai_twh_2027": 258, "revenue_scale": 100, "infra_capital": 500, "gpu_share": 0.7, "gpu_life": 4, "shell_life": 15, "cash_margin": 0.6, "roic": 0.1, "old_rate": 0.085, "fee": 0.02, "debt_share": 0.7, "half_year": 0.5, "opening_cash": 2, "cash_floor": 1, "annual_funding": 14, "macro_deploy": 0.3, "future_fcf": 0, "new_macro_raise": 0, "spec_count": 128, "spec_weight_spread": 0.25, "spec_threshold_spread": 0.06 }, "assumptions": [ { "id": 1, "name": "Paid adoption growth", "block": "Consumption", "base": 0.03, "bear": -0.02, "bull": 0.08, "limitation": "Ramp adoption level is measured; future +3pp is not estimated.", "mechanism": "New customers / churn / saturation", "source_ids": "S04", "unit": "pp fraction" }, { "id": 2, "name": "Paid task-volume growth", "block": "Consumption", "base": 0.2, "bear": -0.5, "bull": 1.0, "limitation": "V2 does not define per-customer vs total. Engine treats as per adopter; explicit convention.", "mechanism": "Existing-customer usage / new workflows / completed backlog", "source_ids": "S04;S06", "unit": "fraction" }, { "id": 3, "name": "Compute intensity / verified job", "block": "Consumption", "base": 1.1, "bear": 0.6, "bull": 2.2, "limitation": "Interpreted as raw-token-equivalent intensity; energy then adjusted separately.", "mechanism": "Reasoning depth / retries / verification / efficiency", "source_ids": "S06;S23", "unit": "x" }, { "id": 4, "name": "Frontier-token share", "block": "Consumption", "base": 0.4, "bear": 0.25, "bull": 0.55, "limitation": "Token share is not dollar share; not applied as a second price cut.", "mechanism": "Routing share / price-performance / constrained tasks", "source_ids": "S05", "unit": "fraction" }, { "id": 5, "name": "Effective price / 1M tokens", "block": "Consumption", "base": 0.55, "bear": 0.3, "bull": 0.85, "limitation": "Already net effective price; no second caching or off-peak discount in spend model.", "mechanism": "List prices / input-output mix / caches / discounts", "source_ids": "S05;S07;S08;S09", "unit": "USD/M" }, { "id": 6, "name": "Cache / reuse share", "block": "Consumption", "base": 0.87, "bear": 0.93, "bull": 0.75, "limitation": "Engine uses cached/input; OpenRouter cached/total ~90% has different denominator.", "mechanism": "Prompt repetition / hit rate / prefix policy", "source_ids": "S06", "unit": "fraction" }, { "id": 7, "name": "Verified success rate", "block": "Consumption", "base": 0.55, "bear": 0.35, "bull": 0.75, "limitation": "Benchmark scores do not validate representative production success.", "mechanism": "Task difficulty / reliability / acceptance test", "source_ids": "S03;S23", "unit": "fraction" }, { "id": 8, "name": "Review + error burden", "block": "Consumption", "base": 0.45, "bear": 0.8, "bull": 0.2, "limitation": "Fraction of human baseline cost; anecdote is not a measured average.", "mechanism": "Human review / exceptions / expected losses", "source_ids": "S22;S23", "unit": "fraction" }, { "id": 9, "name": "Work blocked within12months", "block": "Consumption", "base": 0.65, "bear": 0.85, "bull": 0.4, "limitation": "Judgmental blocked share, not90% unbenchmarked hours.", "mechanism": "Wet labs / integrations / trust / liability", "source_ids": "S02;S03;S23", "unit": "fraction" }, { "id": 10, "name": "Energized capacity growth", "block": "Production", "base": 0.4, "bear": 0.7, "bull": 0.2, "limitation": "Demand forecasts do not verify a supply inventory;50–60% on-time not equal50–60% lost supply.", "mechanism": "Energization / delivery / network / cooling", "source_ids": "S16;S17", "unit": "fraction" }, { "id": 11, "name": "Performance / watt gain", "block": "Production", "base": 1.5, "bear": 2.0, "bull": 1.2, "limitation": "Single composite efficiency factor; do not also count same algorithm gains elsewhere.", "mechanism": "Hardware / kernels / quantization", "source_ids": "S19;S23", "unit": "x" }, { "id": 12, "name": "Serving utilization", "block": "Production", "base": 0.72, "bear": 0.6, "bull": 0.85, "limitation": "Unobserved scenario input. Physical model derives utilization separately; compare, do not multiply twice.", "mechanism": "Paid loads / idle windows / balancing", "source_ids": "S23", "unit": "fraction" }, { "id": 13, "name": "Off-peak discount", "block": "Production", "base": 0.35, "bear": 0.5, "bull": 0.15, "limitation": "Discount is observed for a provider; aggregate discount path remains judgmental.", "mechanism": "Marginal price / scheduleability / spare capacity", "source_ids": "S11", "unit": "fraction" }, { "id": 14, "name": "Training / RL compute growth", "block": "Production", "base": 0.2, "bear": -0.2, "bull": 0.7, "limitation": "No raw lab training telemetry; decline is allowed, not asserted.", "mechanism": "Research runs / data / evaluations / strategic budgets", "source_ids": "S23", "unit": "fraction" }, { "id": 15, "name": "Frontier capability gain", "block": "Production", "base": 1.4, "bear": 1.1, "bull": 2.0, "limitation": "No automatic conversion of benchmark gain into spend; enters score only.", "mechanism": "Task breadth / reliability / verified skill", "source_ids": "S03;S23", "unit": "x" }, { "id": 16, "name": "Lab revenue / target", "block": "Finance", "base": 0.8, "bear": 0.65, "bull": 0.95, "limitation": "Run-rate vs future target is not an observed miss; same-period target needed.", "mechanism": "Growth / mix / price / budget conversion", "source_ids": "S14;S15", "unit": "fraction" }, { "id": 17, "name": "Marginal refinancing cost", "block": "Finance", "base": 0.11, "bear": 0.15, "bull": 0.07, "limitation": "Apply to refinancing and incremental capital, not entire fixed-coupon debt.", "mechanism": "Base rates / spread / collateral / tenor", "source_ids": "S12;S13", "unit": "fraction annual" }, { "id": 18, "name": "Discretionary bridge capacity", "block": "Finance", "base": 300, "bear": 150, "bull": 500, "limitation": "Not fungible bailout cash. Do not add cash stock and full FCF without a period bridge.", "mechanism": "Liquid assets / FCF / other claims / willingness", "source_ids": "S27;S23", "unit": "USD bn" } ], "deterministic_cases": [ { "capacity": 3.4, "case": "bear", "classification": "scenario, not realized revenue or fleet telemetry", "compute": 0.2662747313358589, "constraint": 1, "finance": 3, "funding": 16.38, "inference": 0.03753533047979845, "jobs": 0.13148479427549195, "joint": 1, "labs": 104.0, "required_util": 0.056387590165240704, "revenue": 0.034804798484689044, "scenario": 4, "supply_work": 17.73439859851353, "tail": 1, "tokens": 0.07889087656529517, "unserved_compute": 0.0, "util": 0.056387590165240704 }, { "capacity": 2.0999999999999996, "case": "base", "classification": "scenario, not realized revenue or fleet telemetry", "compute": 1.1884300850070215, "constraint": 0, "finance": 0, "funding": 14.579999999999998, "inference": 1.1834715500100308, "jobs": 1.2644007155635064, "joint": 0, "labs": 128.0, "required_util": 0.40746174343097885, "revenue": 1.1249447542881197, "scenario": 1, "supply_work": 2.4542181348845893, "tail": 0, "tokens": 1.3908407871198571, "unserved_compute": 0.0, "util": 0.40746174343097885 }, { "capacity": 1.44, "case": "bull", "classification": "scenario, not realized revenue or fleet telemetry", "compute": 13.719225163080491, "constraint": 0, "finance": 0, "funding": 12.78, "inference": 18.87032166154356, "jobs": 5.344423018841622, "joint": 0, "labs": 152.0, "required_util": 6.859612581540246, "revenue": 14.697163301814461, "scenario": 1, "supply_work": 0.145780827723577, "tail": 0, "tokens": 11.75773064145157, "unserved_compute": 11.719225163080491, "util": 1.0 } ], "rate_cards": [ { "cache": 0.25, "cell": "Prices_Mix!B7:G7", "effective_v2": 13.784375, "energy_kwh_per_million": 1.0, "inherited_verification": "Primary launch", "input": 10.0, "name": "Fable 5.1", "output": 50.0, "source_id": "S07" }, { "cache": 0.2, "cell": "Prices_Mix!B8:G8", "effective_v2": 5.577500000000001, "energy_kwh_per_million": 0.6, "inherited_verification": "Primary rate card", "input": 4.0, "name": "Opus 5.5", "output": 20.0, "source_id": "S08" }, { "cache": 0.2, "cell": "Prices_Mix!B9:G9", "effective_v2": 2.8525, "energy_kwh_per_million": 0.3, "inherited_verification": "V2 inherited", "input": 2.0, "name": "GPT-6 Sol", "output": 10.0, "source_id": "S10" }, { "cache": 0.01, "cell": "Prices_Mix!B10:G10", "effective_v2": 0.142625, "energy_kwh_per_million": 0.1, "inherited_verification": "Primary launch", "input": 0.1, "name": "Haiku 5.5 <=100k", "output": 0.5, "source_id": "S09" }, { "cache": 0.003, "cell": "Prices_Mix!B11:G11", "effective_v2": 0.1687875, "energy_kwh_per_million": 0.1, "inherited_verification": "V2 inherited", "input": 0.15, "name": "DeepSeek Flash off-peak", "output": 0.6, "source_id": "S11" }, { "cache": 0.05, "cell": "Prices_Mix!B12:G12", "effective_v2": 0.713125, "energy_kwh_per_million": 0.1, "inherited_verification": "Primary launch", "input": 0.5, "name": "Haiku 5.5 >100k", "output": 2.5, "source_id": "S09" } ], "token_power": [ { "busy_facility_average_gw": 3.7599765673227328, "busy_it_average_gw": 2.6856975480876666, "busy_it_twh": 23.52671052124796, "classification": "scenario energy coefficients; 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Cannot infer representative ROI.", "source_available_dates": [ "2026-07-29" ] }, { "claim_id": "META-C05", "statement": "Li attributed 15.7% Facebook conversion uplift to combined user-understanding/GEM/sequence changes and double-digit Instagram time-spent growth largely to recommendations.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 call, July2026; uplift measurement period not specified", "kind": "management_claim", "source_ids": [ "META-T2" ], "source_url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf", "locator": "July 29, 2026; prepared remarks pp.1–9 and Q&A pp.10–21; specific model outcomes p.7, Instagram engagement p.5, open models pp.17–20, near-term capacity/2028 flexibility p.21.", "limitation": "Prepared remarks pp.5,7. Facebook uplift scope is not specified as whole-franchise revenue; experimental denominators, costs, incrementality and persistence not provided. Instagram engagement is aggregate management attribution.", "source_available_dates": [ "2026-07-29" ] }, { "claim_id": "META-C07", "statement": "$75bn Advantage+ annual revenue run rate reflects ads using tools, not a disclosed additional AI revenue stream.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Run rate reported July2026; not annual realized revenue", "kind": "management_claim", "source_ids": [ "META-T2" ], "source_url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf", "locator": "July 29, 2026; prepared remarks pp.1–9 and Q&A pp.10–21; specific model outcomes p.7, Instagram engagement p.5, open models pp.17–20, near-term capacity/2028 flexibility p.21.", "limitation": "Prepared remarks p.7; no annual realized or incremental characterization. Migration/substitution prevents addition to total advertising revenue.", "source_available_dates": [ "2026-07-29" ] }, { "claim_id": "META-C09", "statement": "More than one million businesses used agents; Li described prospective H2 charging and token-based messages from August 1.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Usage reported July2026; prospective H2 2026 charging", "kind": "management_claim", "source_ids": [ "META-T2", "META-F2" ], "source_url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf", "locator": "July 29, 2026; prepared remarks pp.1–9 and Q&A pp.10–21; specific model outcomes p.7, Instagram engagement p.5, open models pp.17–20, near-term capacity/2028 flexibility p.21.", "limitation": "Main p.3; follow-up pp.6,10. Adoption is not paid adoption. July forward-looking plan only; no assertion of subsequent implementation or receipts.", "source_available_dates": [ "2026-07-29", "2026-07-29" ] }, { "claim_id": "META-C10", "statement": "Substantial compute trains models; direct compute monetization had no definitive timeline; quoted premium offers are not actual realized profit.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "July2026 main and follow-up calls", "kind": "management_claim", "source_ids": [ "META-T2", "META-F2" ], "source_url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf", "locator": "July 29, 2026; prepared remarks pp.1–9 and Q&A pp.10–21; specific model outcomes p.7, Instagram engagement p.5, open models pp.17–20, near-term capacity/2028 flexibility p.21.", "limitation": "Main Q&A p.10; follow-up p.5. Offer premiums lack full delivery/capital-cost denominator and are uncontracted management evidence.", "source_available_dates": [ "2026-07-29", "2026-07-29" ] }, { "claim_id": "META-C14", "statement": "Operating cash grew $102.299bn to $130.301bn while cash PP&E grew $52.162bn to $89.325bn; selected residual fell $50.137bn to $40.976bn.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Four quarters July2024–June2025 versus July2025–June2026", "kind": "derived", "source_ids": [ "META-Q226", "META-Q126", "META-K25", "META-Q325", "META-Q225" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828026050705/meta-20260630.htm", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "limitation": "Two exact consecutive four-quarter periods: 2024-07-01–2025-06-30 and 2025-07-01–2026-06-30. Global consolidated, not AI-only or unlevered FCF.", "source_available_dates": [ "2026-07-30", "2026-04-30", "2026-01-29", "2025-10-30", "2025-07-31" ] } ] }, { "id": "amzn", "ticker": "AMZN", "company": "Amazon", "role": "supplier / integrated platform", "headline": "Growing cloud profit and delayed billing can coexist.", "mechanism": "AWS sells useful compute with attached services and custom silicon, while retail can capture AI benefits internally.", "support": "AWS has reported revenue and operating profit; management says capital commonly precedes billing by 6–24 months.", "limit": "Segment profit is mixed AI/non-AI; run rates overlap and are not collected annual revenue. Timing is management guidance.", "accounting_scope": "Amazon consolidated worldwide for funding; AWS worldwide for operating results, including non-AI services. AI/chip run rates are management-defined and overlapping. No US-only allocation or disclosed standalone AI profit.", "evidence_tier": "primary-backed selected authored research; not full factual-publication acceptance", "actual_ai_profit_status": "undisclosed", "demand_to_provider_bridge": "Trace independent buyer collections, net AWS receipts and full deployment cost. Do not add chip and AI-service run rates or supplier equity to final demand.", "facts": [ { "claim_id": "AMZN-aws-growth", "statement": "Q2 2026 AWS sales $42.232bn, +37%; operating income $16.621bn; Q2 2025 sales $30.873bn and operating income $10.160bn.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 versus Q2 2025", "kind": "reported", "source_ids": [ "AMZN-q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000026/amzn-20260630.htm", "locator": "Cash-flow statement, H1 columns; Note 1 Unearned Revenue; Note 2 Anthropic/OpenAI and liquid/restricted assets; Notes 3–5 lease, commitment and financing disclosures; MD&A AWS sales and operating income.", "limitation": "Global AWS, including non-AI services.", "source_available_dates": [ "2026-07-31" ] }, { "claim_id": "AMZN-paid-traction", "statement": "Management says AI annual revenue run rate exceeds $25bn and Q2 Bedrock spend exceeds all earlier quarters combined.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 management report; run rate not annual revenue", "kind": "management_claim", "source_ids": [ "AMZN-release" ], "source_url": "https://ir.aboutamazon.com/news-release/news-release-details/2026/Amazon-com-Announces-Second-Quarter-Results/", "locator": "Dated July 30 2026; Jassy quotation and highlights: AI/chips run rates, Bedrock spending, Trainium adoption; rendered browser snapshot.", "limitation": "Run rate not realized annual revenue; no AI profit or average customer ROI established.", "source_available_dates": [ "2026-07-30" ] }, { "claim_id": "AMZN-overlap", "statement": "Chip business run rate exceeds $25bn; includes non-AI chips and AWS monetization overlapping AI services.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Management run rate reported in 2026 shareholder letter", "kind": "inference", "source_ids": [ "AMZN-release", "AMZN-letter" ], "source_url": "https://ir.aboutamazon.com/news-release/news-release-details/2026/Amazon-com-Announces-Second-Quarter-Results/", "locator": "Dated July 30 2026; Jassy quotation and highlights: AI/chips run rates, Bedrock spending, Trainium adoption; rendered browser snapshot.", "limitation": "Letter defines Graviton/Trainium/Nitro and monetization through EC2. Do not sum service/chip run rates.", "source_available_dates": [ "2026-07-30", "2026-04-08" ] }, { "claim_id": "AMZN-life", "statement": "Subset of server/network lives cut six to five years January 2025, adding $1.4bn 2025 depreciation primarily AWS.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Effective January2025; depreciation effect FY2025", "kind": "reported", "source_ids": [ "AMZN-annual" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "locator": "Note 1: January 2025 useful-life reduction; Business: Developers and Enterprises; segment infrastructure allocation.", "limitation": "Accounting estimate does not establish economic obsolescence of every AI asset.", "source_available_dates": [ "2026-02-06" ] }, { "claim_id": "AMZN-timing", "statement": "Management says capex commonly precedes billing 6–24 months depending on component; much 2026 AWS capex monetized in 2027–2028.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "2026 shareholder letter; expected 2027–2028 monetization", "kind": "management_claim", "source_ids": [ "AMZN-letter" ], "source_url": "https://s2.q4cdn.com/299287126/files/doc_financials/2026/ar/2025-Shareholder-Letter-Final.pdf", "locator": "AI numbered points 2–6: customer platform rationale, Trainium price-performance, chip run-rate composition, expected margin/capex savings, billing lag and 2027–2028 monetization. Date supported by retained IR index.", "limitation": "Expected timing and attractive cumulative returns are management forecasts, not realized cohort evidence.", "source_available_dates": [ "2026-04-08" ] }, { "claim_id": "AMZN-contracts", "statement": "OpenAI $100bn expansion over eight years; Anthropic more than $100bn expansion over ten years; chip-performance obligations qualify commitments.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Agreements reported in Q2 2026 filing; eight/ten-year prospective terms", "kind": "reported", "source_ids": [ "AMZN-q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000026/amzn-20260630.htm", "locator": "Cash-flow statement, H1 columns; Note 1 Unearned Revenue; Note 2 Anthropic/OpenAI and liquid/restricted assets; Notes 3–5 lease, commitment and financing disclosures; MD&A AWS sales and operating income.", "limitation": "Long-term commitments not already earned revenue or independent end-customer cash. Amounts not added to investments/capex.", "source_available_dates": [ "2026-07-31" ] } ] }, { "id": "googl", "ticker": "GOOGL", "company": "Alphabet Inc.", "role": "buyer / supplier / integrated platform", "headline": "A stronger ad and cloud business does not identify the AI increment.", "mechanism": "Search ads monetize user attention; Cloud sells AI and non-AI services and hardware.", "support": "Management reports improved conversions and lower response costs alongside filed segment growth.", "limit": "AI adoption, Wiz, TPU sales and non-AI migration coexist; all Cloud operating profit cannot be assigned to AI infrastructure.", "accounting_scope": "Global consolidated Alphabet Inc. USD accounts and named Google Services/Cloud segments. AI-attributed profit and U.S. project returns undisclosed.", "evidence_tier": "primary-backed selected authored research; not full factual-publication acceptance", "actual_ai_profit_status": "undisclosed", "demand_to_provider_bridge": "Separate causal incremental ad cash from external cloud AI invoices, and distinguish own TPU/model service from third-party frontier purchases.", "facts": [ { "claim_id": "GOOGL-search", "statement": "Q2 Search & other revenue increased from 54.190B to 63.271B USD.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 versus Q2 2025", "kind": "reported", "source_ids": [ "GOOGL-q2-2026" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1652044/000165204426000071/goog-20260630.htm", "locator": "Balance sheet p4; cash flows p9 six-month 2026 column; Notes 1–4 pp10–24, Note 6 debt, Note 8 Wiz, Note 10 commitments, Note 11 equity, Note 15 segments; MD&A liquidity pp51–54.", "limitation": "Note 2 three-month 2025/2026 columns, not AI-only.", "source_available_dates": [ "2026-07-23" ] }, { "claim_id": "GOOGL-advertisers", "statement": "AI Max/PMax adopters average 15% more Search conversions or value at similar ROAS, per management.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 call; adopter measurement period not specified", "kind": "management_claim", "source_ids": [ "GOOGL-call-q2" ], "source_url": "https://abc.xyz/investor/events/event-details/2026/2026-Q2-Earnings-Call-2026-GgTAq7Is0z/default.aspx", "locator": "Schindler Search/adopter conversions; Pichai paid enterprise use; CFO results/outlook; Anmuth financing Q&A; Sheridan TPU inventory/revenue; Nathanson product margin; Shmulik bridge-capacity return.", "limitation": "Schindler prepared remarks; selected adopters, not controlled causal profit attribution.", "source_available_dates": [ "2026-07-22" ] }, { "claim_id": "GOOGL-response-cost", "statement": "Management reports >30% core AI response cost decline since Gemini 3 upgrade in April and further AI Mode improvements in July.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Since April2026 Gemini3 upgrade; July2026 commentary", "kind": "management_claim", "source_ids": [ "GOOGL-call-q1", "GOOGL-call-q2" ], "source_url": "https://abc.xyz/investor/events/event-details/2026/2026-Q1-Earnings-Call-2026-nW8kCrBAKS/default.aspx", "locator": "Pichai Search response costs; Schindler monetization; CFO Cloud and TPU outlook; Q&A.", "limitation": "No comparable dollar cost or query contribution disclosed; usage and task mix matter.", "source_available_dates": [ "2026-07-22", "2026-04-29" ] }, { "claim_id": "GOOGL-cloud", "statement": "Q2 Cloud revenue 24.768B and operating profit 8.814B, 82% revenue growth and margins 20.7% to 35.6%.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 versus Q2 2025", "kind": "derived", "source_ids": [ "GOOGL-q2-2026" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1652044/000165204426000071/goog-20260630.htm", "locator": "Balance sheet p4; cash flows p9 six-month 2026 column; Notes 1–4 pp10–24, Note 6 debt, Note 8 Wiz, Note 10 commitments, Note 11 equity, Note 15 segments; MD&A liquidity pp51–54.", "limitation": "Includes non-AI, Wiz and new TPU sales; shared research partly outside segment.", "source_available_dates": [ "2026-07-23" ] }, { "claim_id": "GOOGL-research", "statement": "Frontier-model development is baseline compute allocation; shared AI research partly recorded centrally.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": null, "kind": "management_claim", "source_ids": [ "GOOGL-call-q2", "GOOGL-q2-2026" ], "source_url": "https://abc.xyz/investor/events/event-details/2026/2026-Q2-Earnings-Call-2026-GgTAq7Is0z/default.aspx", "locator": "Schindler Search/adopter conversions; Pichai paid enterprise use; CFO results/outlook; Anmuth financing Q&A; Sheridan TPU inventory/revenue; Nathanson product margin; Shmulik bridge-capacity return.", "limitation": "Do not charge all central research solely to Cloud.", "source_available_dates": [ "2026-07-23", "2026-07-22" ] } ] }, { "id": "crwv", "ticker": "CRWV", "company": "CoreWeave, Inc.", "role": "infrastructure supplier", "headline": "A contract can move utilization risk; it cannot abolish renewal risk.", "mechanism": "Committed GPU capacity pays the operator before the asset becomes uneconomic, provided delivery and customer payment occur.", "support": "Committed revenue and RPO are real business anchors; finite contract duration makes first-term capital recovery decisive.", "limit": "RPO is not cash or profit; six-year accounting life is not verified economic life. The A100 renewal claim is evidence against universal rapid obsolescence.", "accounting_scope": "Worldwide consolidated CoreWeave through Q22026, with dated management updates through September27. AI infrastructure supplier; no AI-only profit, cohort return or customer profit series disclosed. USD throughout, not U.S.-only.", "evidence_tier": "primary-backed selected authored research; not full factual-publication acceptance", "actual_ai_profit_status": "undisclosed", "demand_to_provider_bridge": "Match independent customer cash to the contract, delivered capacity, collections, operating costs, equipment funding and all-capital recovery, including later renewal.", "facts": [ { "claim_id": "CRWV-C3", "statement": "Microsoft supplied 67% of 2025 revenue; OpenAI and Meta have material commitments.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "FY2025 revenue concentration", "kind": "reported", "source_ids": [ "CRWV-K" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000104/crwv-20251231.htm", "locator": "Business/platform, customer concentration and competitors; MD&A Components of Results; Note1 technology-equipment life and committed-contract revenue policy", "limitation": "2025 concentration; do not map anonymized Q2 letters across periods.", "source_available_dates": [ "2026-03-02" ] }, { "claim_id": "CRWV-C5", "statement": "98% of Q2 revenue came from commitments; take-or-pay shifts immediate utilization risk but leaves delivery/credit/renewal risks.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026", "kind": "inference", "source_ids": [ "CRWV-Q", "CRWV-K" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000366/crwv-20260630.htm", "locator": "Cash flows p11 (six months 2026 column); balance sheet p6; Note2 p15; Note8 pp24–25; Note10 pp27–31; MD&A liquidity and customer/supplier risks", "limitation": "98% is reported; implication conditional on contract delivery/credit. Public summaries do not expose all legal terms.", "source_available_dates": [ "2026-03-02", "2026-08-12" ] }, { "claim_id": "CRWV-C6", "statement": "June30 RPO was $103.7bn, undelivered transaction price adjusted for specified variable consideration.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "2026-06-30 balance", "kind": "reported", "source_ids": [ "CRWV-Q" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000366/crwv-20260630.htm", "locator": "Cash flows p11 (six months 2026 column); balance sheet p6; Note2 p15; Note8 pp24–25; Note10 pp27–31; MD&A liquidity and customer/supplier risks", "limitation": "RPO is neither cash nor profit; includes billed/unbilled. No backlog-times-margin calculation.", "source_available_dates": [ "2026-08-12" ] }, { "claim_id": "CRWV-C7", "statement": "Management says typical five-year deployment pays asset debt plus substantial cash, earning return before renewal.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "August2026 management description of typical five-year deployment", "kind": "management_claim", "source_ids": [ "CRWV-T" ], "source_url": "https://s205.q4cdn.com/133937190/files/doc_financials/2026/q2/CRWV-US-CORRECTED-TRANSCRIPT-CoreWeave-Q2-2026-Earnings-Call-11August2026.pdf", "locator": "pp3,7–9,10–13,16–18: Intrator/Agrawal prepared remarks; Chatterjee renewal/pricing, Zelnick inference/margins, Turrin power timing, Knoblauch duration Q&A", "limitation": "No disclosed cohort waterfall proving all-capital return; debt payoff alone insufficient.", "source_available_dates": [ "2026-08-11" ] }, { "claim_id": "CRWV-C8", "statement": "A100 contract through2029 and July approximate25% price rise; Q2 new-contract expected contribution margins +5–10ppt.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "August2026 commentary; A100 contract through2029; July2026 pricing", "kind": "management_claim", "source_ids": [ "CRWV-T" ], "source_url": "https://s205.q4cdn.com/133937190/files/doc_financials/2026/q2/CRWV-US-CORRECTED-TRANSCRIPT-CoreWeave-Q2-2026-Earnings-Call-11August2026.pdf", "locator": "pp3,7–9,10–13,16–18: Intrator/Agrawal prepared remarks; Chatterjee renewal/pricing, Zelnick inference/margins, Turrin power timing, Knoblauch duration Q&A", "limitation": "Architecture launch2020 does not show age of installed machine. Expected contribution is not realized after-tax cash margin; price includes supplier pass-through.", "source_available_dates": [ "2026-08-11" ] }, { "claim_id": "CRWV-C9", "statement": "Renewal-eligible fleet was very limited; technology equipment accounting life is six years.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "August2026 Q2 call and June2026 filing accounting policy", "kind": "reported", "source_ids": [ "CRWV-K", "CRWV-T" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000104/crwv-20251231.htm", "locator": "Business/platform, customer concentration and competitors; MD&A Components of Results; Note1 technology-equipment life and committed-contract revenue policy", "limitation": "Fleet size statement is management Q&A; six-year estimate does not ensure economic life.", "source_available_dates": [ "2026-03-02", "2026-08-11" ] }, { "claim_id": "CRWV-C11", "statement": "Two/three-year enterprise contracts became financeable; September three/six-month contracts quoted annualized$40m/MW.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "August/September2026 commentary; September contracts last three/six months", "kind": "management_claim", "source_ids": [ "CRWV-T", "CRWV-P" ], "source_url": "https://s205.q4cdn.com/133937190/files/doc_financials/2026/q2/CRWV-US-CORRECTED-TRANSCRIPT-CoreWeave-Q2-2026-Earnings-Call-11August2026.pdf", "locator": "pp3,7–9,10–13,16–18: Intrator/Agrawal prepared remarks; Chatterjee renewal/pricing, Zelnick inference/margins, Turrin power timing, Knoblauch duration Q&A", "limitation": "Annualized rate not guaranteed year revenue; no volume, capex or useful-output denominator supplied.", "source_available_dates": [ "2026-08-11", "2026-09-17" ] }, { "claim_id": "CRWV-C12", "statement": "H1 CFO$3.663bn, cashPPE$14.117bn, net investing$14.874bn and net financing$13.985bn imply$11.211bn prefinancing deficit.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Six months ended 2026-06-30", "kind": "derived", "source_ids": [ "CRWV-Q" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000366/crwv-20260630.htm", "locator": "Cash flows p11 (six months 2026 column); balance sheet p6; Note2 p15; Note8 pp24–25; Note10 pp27–31; MD&A liquidity and customer/supplier risks", "limitation": "Consolidated global cash flows; includes expansion, not a cohort return or AI-only profit.", "source_available_dates": [ "2026-08-12" ] } ] }, { "id": "orcl", "ticker": "ORCL", "company": "Oracle Corporation", "role": "infrastructure supplier", "headline": "Cash paid in advance is genuine financing, not earned profit.", "mechanism": "Cloud contracts and customer hardware contributions can fund delivery before Oracle recognizes revenue.", "support": "The filing identifies substantial customer prepayments and an expanding infrastructure business.", "limit": "Do not mistake a $75bn hardware contract portion for cash receipts, or RPO for earned revenue; blended margin is not AI margin.", "accounting_scope": "Oracle Corporation worldwide consolidated operations; cloud infrastructure contains AI and non-AI. Financials demonstrate funding/cost exposure, not U.S.-only or AI-only return.", "evidence_tier": "primary-backed selected authored research; not full factual-publication acceptance", "actual_ai_profit_status": "undisclosed", "demand_to_provider_bridge": "Recognize the advance once as cash, then recognize service revenue as delivery occurs without a second cash receipt. Determine independent customer funding and contract-level lifetime margin.", "facts": [ { "claim_id": "ORCL-mix", "statement": "FY27 Q1 cloud infrastructure $7.388bn grew121%; software support $4.895bn approximately flat.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "FY2027 Q1 ended 2026-08-31", "kind": "reported", "source_ids": [ "ORCL-q1-filing" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "limitation": "Worldwide offerings, neither AI-only nor separately profited.", "source_available_dates": [ "2026-09-11" ] }, { "claim_id": "ORCL-hardware-sharing", "statement": "Most Q3/Q4 RPO growth involved prepaid/customer-supplied GPUs; hardware portions $75bn.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "FY2026 Q3/Q4 RPO growth; reported June2026", "kind": "management_claim", "source_ids": [ "ORCL-q4-release" ], "source_url": "https://s23.q4cdn.com/440135859/files/doc_earnings/2026/q4/earnings-result/4q26-pressrelease-final.pdf", "locator": "pp.2–3, RPO and capital funding", "limitation": "Contract portion, not $75bn receipts. Contract ownership, price/replacement terms not disclosed.", "source_available_dates": [ "2026-06-10" ] }, { "claim_id": "ORCL-advances", "statement": "FY27Q1 CFO$23.103bn includes$11.363bn significant-financing prepayments; interest accounted separately.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "FY2027 Q1 ended 2026-08-31", "kind": "reported", "source_ids": [ "ORCL-q1-filing" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "limitation": "Pre-service collections not earned profit; no second cash inflow on recognition.", "source_available_dates": [ "2026-09-11" ] }, { "claim_id": "ORCL-funding-gap", "statement": "Reported CFO-minus-capex gap$5.396bn; excluding identified advances gap$16.759bn.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "FY2027 Q1 ended 2026-08-31", "kind": "derived", "source_ids": [ "ORCL-q1-filing" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "limitation": "Not normalized cash, no AI attribution.", "source_available_dates": [ "2026-09-11" ] }, { "claim_id": "ORCL-rpo", "statement": "664bn RPO, approximately13% expected revenue next12months; availability/usage govern recognition.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "2026-08-31 balance; prospective recognition", "kind": "reported", "source_ids": [ "ORCL-q1-filing", "ORCL-annual" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "limitation": "Expected conversion is management estimate; not receipts/profit or contract-by-contract conditions.", "source_available_dates": [ "2026-09-11", "2026-06-22" ] }, { "claim_id": "ORCL-lives", "statement": "Six-year server/network accounting life;288bn additional uncommenced leases,15–19years, start Q2FY27–FY29.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "2026-08-31; prospective lease commencements FY2027Q2–FY2029", "kind": "reported", "source_ids": [ "ORCL-q1-filing" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "limitation": "Lease face value not loss/penalty; economic chip life may differ.", "source_available_dates": [ "2026-09-11" ] }, { "claim_id": "ORCL-cost-pressure", "statement": "Cloud/software segment margin60%→55% despite greater margin dollars.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "FY2027 Q1 versus FY2026 Q1", "kind": "reported", "source_ids": [ "ORCL-q1-filing" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "limitation": "Blended and excludes stock compensation/certain allocations/intangible amortization/other GAAP costs; not AI margin.", "source_available_dates": [ "2026-09-11" ] } ] }, { "id": "eqix", "ticker": "EQIX", "company": "Equinix, Inc.", "role": "infrastructure supplier", "headline": "Useful power and connectivity have value; cabinet counts are not AI demand.", "mechanism": "Customers pay for colocated infrastructure, power access and interconnection.", "support": "Existing-customer bookings and billed capacity support a real established franchise.", "limit": "The 27% mature-site gross-profit yield is not a project IRR; cabinets, MW, presales and powered service are different quantities.", "accounting_scope": "Global consolidated Equinix and separately identified equity-method ventures; no U.S.-only or AI-only attribution. Retail IBX economics distinguished from hyperscale/xScale and atNorth partner exposure.", "evidence_tier": "primary-backed selected authored research; not full factual-publication acceptance", "actual_ai_profit_status": "undisclosed", "demand_to_provider_bridge": "Trace tenant receipts to occupied, powered capacity, then deduct full maintenance, overhead, tax and financing at the appropriate owner perimeter.", "facts": [ { "claim_id": "EQIX-demand", "statement": "Q2 2026 normalized constant-currency MRR growth 11%; 4,200 billed cabinets and 9,700 interconnections added; MRR/cab rose 6% normalized at constant currency.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026", "kind": "management_claim", "source_ids": [ "EQIX-deck", "EQIX-release" ], "source_url": "https://d1io3yog0oux5.cloudfront.net/_f9ad8b88d669de65a966b7e00da37b99/equinix/db/2183/27054/earnings_presentation/Equinix+Q2+26+Earnings+Presentation+Final.pdf", "locator": "Printed pp.3,10,11,24,26,48–50: demand, mature portfolio, capex, cabinet metrics, construction schedule and definitions", "limitation": "Company adjusted metrics and selected non-financial perimeter; not AI-only growth. MRR/cab includes density and mix, not pure repricing.", "source_available_dates": [ "2026-07-29", "2026-07-29" ] }, { "claim_id": "EQIX-existing-customers", "statement": "More than 90% of recurring bookings in preceding three years came from existing customers; initial contracts generally one to five years.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Preceding three years, reported in FY2025 annual filing", "kind": "reported", "source_ids": [ "EQIX-q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1101239/000110123926000147/eqix-20260630.htm", "locator": "pp.6/9 balance sheet and cash flows; Note4 pp.12–14; Note7 leases; Note9 commitments; MD&A revenue, AFFO pp.55–56 and liquidity", "limitation": "Global company recurrence does not establish AI demand incrementality or twenty-year contractual cash protection.", "source_available_dates": [ "2026-07-29" ] }, { "claim_id": "EQIX-property-yield", "statement": "Management mature-site 27% ratio is trailing cash gross profit over historical gross PP&E; displayed $5,232m / $19,639m rounds to 27%.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 presentation, trailing mature-site cash-gross-profit metric", "kind": "derived", "source_ids": [ "EQIX-deck" ], "source_url": "https://d1io3yog0oux5.cloudfront.net/_f9ad8b88d669de65a966b7e00da37b99/equinix/db/2183/27054/earnings_presentation/Equinix+Q2+26+Earnings+Presentation+Final.pdf", "locator": "Printed pp.3,10,11,24,26,48–50: demand, mature portfolio, capex, cabinet metrics, construction schedule and definitions", "limitation": "Constant-currency ratio; selected mature portfolio; excludes xScale JVs/Metal/non-IBX tenant income/non-data-centre assets. Not project IRR or net equity return.", "source_available_dates": [ "2026-07-29" ] }, { "claim_id": "EQIX-yield-limits", "statement": "Gross-profit yield omits cash SG&A, tax, financing and capital maintenance; includes leased-property economics and historical cost, not replacement cost.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": null, "kind": "inference", "source_ids": [ "EQIX-deck", "EQIX-q2" ], "source_url": "https://d1io3yog0oux5.cloudfront.net/_f9ad8b88d669de65a966b7e00da37b99/equinix/db/2183/27054/earnings_presentation/Equinix+Q2+26+Earnings+Presentation+Final.pdf", "locator": "Printed pp.3,10,11,24,26,48–50: demand, mature portfolio, capex, cabinet metrics, construction schedule and definitions", "limitation": "Deck definitions of cash gross profit, leased mature sites and cost base establish boundary; inference is that the ratio does not establish marginal fully costed return.", "source_available_dates": [ "2026-07-29", "2026-07-29" ] }, { "claim_id": "EQIX-occupancy", "statement": "Mature-site utilization 82%, worldwide cabinet utilization 78%, roughly 30% of 2026 expansion cabinets presold.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 presentation; presales apply 2026 expansion", "kind": "management_claim", "source_ids": [ "EQIX-deck" ], "source_url": "https://d1io3yog0oux5.cloudfront.net/_f9ad8b88d669de65a966b7e00da37b99/equinix/db/2183/27054/earnings_presentation/Equinix+Q2+26+Earnings+Presentation+Final.pdf", "locator": "Printed pp.3,10,11,24,26,48–50: demand, mature portfolio, capex, cabinet metrics, construction schedule and definitions", "limitation": "Deck pp.10/24/26 use distinct populations. Cabinets are not AI MW and presold is not utility-delivered.", "source_available_dates": [ "2026-07-29" ] }, { "claim_id": "EQIX-cash", "statement": "First-half CFO $1,784m versus $1,753m and PP&E purchases $2,834m versus $1,739m in 2026 versus 2025; dividends $1,029m in 2026.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Six months ended June30,2026 versus2025", "kind": "reported", "source_ids": [ "EQIX-q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1101239/000110123926000147/eqix-20260630.htm", "locator": "pp.6/9 balance sheet and cash flows; Note4 pp.12–14; Note7 leases; Note9 commitments; MD&A revenue, AFFO pp.55–56 and liquidity", "limitation": "Global consolidated, first-half periods, purchases of other PP&E exclude real estate acquisitions; CFO includes interest and working capital.", "source_available_dates": [ "2026-07-29" ] } ] }, { "id": "openai", "ticker": "OPENAI", "company": "OpenAI", "role": "model supplier", "headline": "Paying accounts establish a market, not its lifetime margin.", "mechanism": "Consumer subscriptions, business seats and API services monetize completed useful work.", "support": "Company-reported paying populations and counterparties’ filed commercial balances establish substantial activity.", "limit": "Counts may overlap; prices, net collections, retention and inference intensity are not disclosed on one common cohort. Financing is not a loss or evidence of fraud.", "accounting_scope": "OpenAI Group PBC operating franchise, worldwide products and financing; selected U.S. infrastructure contracts are context. Counterparty filings are their own accounting, never an OpenAI audited panel; no consolidated/U.S.-AI attribution.", "evidence_tier": "primary-backed selected authored research; not full factual-publication acceptance", "actual_ai_profit_status": "undisclosed", "demand_to_provider_bridge": "Reconcile collected customer fees after credits and channels with serving, research and cloud obligations; supplier investments cannot be counted as independent buyer demand.", "facts": [ { "claim_id": "OPENAI-C01", "statement": "OpenAI reported >50m consumer subscribers, >9m paying business users and >900m weekly active ChatGPT users in February2026.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "2026-02-27 announcement snapshot", "kind": "management_claim", "source_ids": [ "OPENAI-FUND" ], "source_url": "https://openai.com/index/scaling-ai-for-everyone/", "locator": "Article paragraphs beginning Today, More than 9 million, and ChatGPT is where; funding, users and subscribers", "limitation": "Self-reported counts, not recognized revenue, retention, separate unique populations or demonstrated savings; no ratio is computed across them.", "source_available_dates": [ "2026-02-27" ] }, { "claim_id": "OPENAI-C08", "statement": "April2026 terms permit OpenAI all-product cross-cloud serving; Microsoft keeps nonexclusive model/product IP through2032, stops paying revenue share, and receives OpenAI revenue share through2030 at unchanged undisclosed percentage with a cap.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "April2026 amended relationship summary", "kind": "management_claim", "source_ids": [ "OPENAI-MSAMEND" ], "source_url": "https://openai.com/index/next-phase-of-microsoft-partnership/", "locator": "Agreement bullet list: cloud access, IP licence, two revenue-share directions and cap", "limitation": "Official summary, not executed contract. Cap/percentage/schedule and actual expense undisclosed. April amendment supersedes relevant October exclusivity/revenue-share statements.", "source_available_dates": [ "2026-04-27" ] }, { "claim_id": "OPENAI-C09", "statement": "Microsoft recorded$24.1bn FY2026 commercial/revenue-share revenue involving OpenAI, $6bn June30 receivable and$11.9bn funded of$13bn investment commitment.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Microsoft FY2026; receivable/investment funded at June30,2026", "kind": "reported", "source_ids": [ "OPENAI-MSK" ], "source_url": "https://www.sec.gov/Archives/edgar/data/789019/000119312526323660/msft-20260630.htm", "locator": "Note1 Investment in OpenAI/related-party paragraph; commercial revenue, receivable, funding, HLBV; Note3 recapitalization gains", "limitation": "Microsoft consolidated counterparty accounting. Not OpenAI audited revenue, expense, profit or cash. Annual flow, point-in-time receivable and cumulative investment cannot be added or netted; no default allegation.", "source_available_dates": [ "2026-07-29" ] }, { "claim_id": "OPENAI-C11", "statement": "Amazon reported$28.7bn invested byJune30 and remaining$21.3bn subsequently, establishing$50bn funded by the July31filing.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Amazon cash through June30,2026 plus subsequent event before July31 filing", "kind": "reported", "source_ids": [ "OPENAI-AMQ" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000026/amzn-20260630.htm", "locator": "Note1 Unearned Revenue AWS/OpenAI $38bn+$100bn/8years and chip-performance obligations; Note2 Equity Investments OpenAI SeriesC; MD&A Liquidity printed pages27–28", "limitation": "Subsequent event is after quarter-end and before filing, not June30 cash. Does not establish OpenAI remaining unrestricted cash or funding from other investors.", "source_available_dates": [ "2026-07-31" ] }, { "claim_id": "OPENAI-C12", "statement": "The AWS commitment grew$100bn over8years from existing$38bn and includes AWS-chip-performance obligations.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Eight-year commitment expansion reported in2026", "kind": "reported", "source_ids": [ "OPENAI-AMQ" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000026/amzn-20260630.htm", "locator": "Note1 Unearned Revenue AWS/OpenAI $38bn+$100bn/8years and chip-performance obligations; Note2 Equity Investments OpenAI SeriesC; MD&A Liquidity printed pages27–28", "limitation": "This is a commercial commitment, not period expense or supplier capex. Public note does not specify complete payment/cancellation terms or justify straight-line annual expense.", "source_available_dates": [ "2026-07-31" ] }, { "claim_id": "OPENAI-C15", "statement": "Supplier equity can bridge rational investment, but supplier sales financed by investors cannot alone establish independent end-customer economics; further equity dilutes earlier owners.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": null, "kind": "inference", "source_ids": [ "OPENAI-MSK", "OPENAI-AMQ", "OPENAI-FUND" ], "source_url": "https://www.sec.gov/Archives/edgar/data/789019/000119312526323660/msft-20260630.htm", "locator": "Note1 Investment in OpenAI/related-party paragraph; commercial revenue, receivable, funding, HLBV; Note3 recapitalization gains", "limitation": "No unsupported fraud/circular-revenue allegation, dollar-for-dollar offset, loss claim or statement that new equity necessarily denotes failure.", "source_available_dates": [ "2026-02-27", "2026-07-29", "2026-07-31" ] } ] }, { "id": "pltr", "ticker": "PLTR", "company": "Palantir Technologies Inc.", "role": "application supplier", "headline": "Application value can grow faster than the upstream model bill.", "mechanism": "An integrated workflow can earn subscription and service fees while routing tasks among third-party and customer-owned models.", "support": "Reported commercial growth and margin support application monetization; pilots can be free and commitments have distinct definitions.", "limit": "None of the disclosed totals isolates AIP profit or end-customer ROI; the falling-model-bill example is an assumption, not actual Palantir telemetry.", "accounting_scope": "Palantir worldwide consolidated financial results; selected U.S. commercial signals and AIP/Foundry product mechanism. Not U.S.-only or AI-only profit, capital, customer ROI, token volume or external model-provider revenue. USD unless noted.", "evidence_tier": "primary-backed selected authored research; not full factual-publication acceptance", "actual_ai_profit_status": "undisclosed", "demand_to_provider_bridge": "All useful tasks × externally served share × billable tokens per external task × realized price. Apply share once; unknown factors leave actual provider revenue unknown.", "facts": [ { "claim_id": "PLTR-C03", "statement": "Q2 2026 consolidated revenue $1,935.464m, GAAP operating income $912.004m, and U.S. commercial revenue $764m (149% YoY growth).", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026", "kind": "reported", "source_ids": [ "PLTR-K26Q2", "PLTR-IR26Q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000041/pltr-20260630.htm", "locator": "Part I Item 1 Notes 3 (RPO), 7 (Purchase Commitments); Part I Item 2 Overview/Revenue/Customers/Contribution Margin/Non-GAAP Reconciliations; condensed operations, cash flows and June balance-sheet tables", "limitation": "Worldwide issuer totals and U.S. commercial product mix are not AIP-only.", "source_available_dates": [ "2026-08-04", "2026-08-03" ] }, { "claim_id": "PLTR-C04", "statement": "Palantir often conducts pilots and bootcamps at its own expense or no/low customer cost and warns of minimal future revenue.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Business practice described in June2026 filing", "kind": "reported", "source_ids": [ "PLTR-K26Q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000041/pltr-20260630.htm", "locator": "Part I Item 1 Notes 3 (RPO), 7 (Purchase Commitments); Part I Item 2 Overview/Revenue/Customers/Contribution Margin/Non-GAAP Reconciliations; condensed operations, cash flows and June balance-sheet tables", "limitation": "No disclosed bootcamp conversion, production-task cohort or renewal rate.", "source_available_dates": [ "2026-08-04" ] }, { "claim_id": "PLTR-C05", "statement": "Q2 2026 commercial revenue increase of $495m YoY included $407m from customers existing December 31, 2025; trailing-year revenue-producing customers numbered 1,049 versus 849.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 versus Q2 2025; existing customers defined at December31,2025", "kind": "reported", "source_ids": [ "PLTR-K26Q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000041/pltr-20260630.htm", "locator": "Part I Item 1 Notes 3 (RPO), 7 (Purchase Commitments); Part I Item 2 Overview/Revenue/Customers/Contribution Margin/Non-GAAP Reconciliations; condensed operations, cash flows and June balance-sheet tables", "limitation": "Existing-customer expansion is not AIP-specific, and cohort definition is not a retention statistic.", "source_available_dates": [ "2026-08-04" ] }, { "claim_id": "PLTR-C06", "statement": "Q2 2026 U.S. commercial TCV $2.132bn and June U.S. commercial RDV $6.238bn; definitions assume options and no termination although many contracts can terminate.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Q2 2026 TCV; June30,2026 RDV", "kind": "management_claim", "source_ids": [ "PLTR-IR26Q2" ], "source_url": "https://investors.palantir.com/news-details/2026/Palantir-Reports-Q2-2026-U-S--Comm-Revenue-Growth-of-149-YY-and-Revenue-Growth-of-93-YY-Raises-FY-2026-Revenue-Guidance-to-82-YY-Growth-and-U-S--Comm-Revenue-Guidance-to-134-YY-Crushing-Consensus-Expectations/", "locator": "Rendered main article: Q2 2026 Highlights; Financial Summary; Additional Definitions for TCV/RDV/RPO; Non-GAAP Reconciliations for operating income and stock compensation", "limitation": "TCV is potential lifetime value, not quarterly or annual revenue; RDV is not noncancelable RPO.", "source_available_dates": [ "2026-08-03" ] }, { "claim_id": "PLTR-C07", "statement": "Company-wide June 2026 RPO was $4.9bn noncancelable contracted revenue, about 43% expected in next 12 months.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "June30,2026 balance; prospective next12months", "kind": "reported", "source_ids": [ "PLTR-K26Q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000041/pltr-20260630.htm", "locator": "Part I Item 1 Notes 3 (RPO), 7 (Purchase Commitments); Part I Item 2 Overview/Revenue/Customers/Contribution Margin/Non-GAAP Reconciliations; condensed operations, cash flows and June balance-sheet tables", "limitation": "RPO excludes cancellable deals and contracts with original term <=12 months under practical expedient; not AIP-specific or cash.", "source_available_dates": [ "2026-08-04" ] }, { "claim_id": "PLTR-C11", "statement": "March 2026 cloud-services agreement amendment requires at least $5.6bn spend over ten contract years through Feb 2036, with annual minimums $268m-$979m; prior obligations under same agreement terminated.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "March2026 amendment through February29,2036", "kind": "reported", "source_ids": [ "PLTR-K26Q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000041/pltr-20260630.htm", "locator": "Part I Item 1 Notes 3 (RPO), 7 (Purchase Commitments); Part I Item 2 Overview/Revenue/Customers/Contribution Margin/Non-GAAP Reconciliations; condensed operations, cash flows and June balance-sheet tables", "limitation": "Services not identified as AIP tokens, GPUs, new incremental datacenter capex or a particular supplier sale.", "source_available_dates": [ "2026-08-04" ] }, { "claim_id": "PLTR-C13", "statement": "Palantir does not disclose a separate AIP profit, capital cohort, production-task volume, billed token intensity for external routes, realized token price/mix or externally served task share.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "Selected sources available by September27,2026", "kind": "inference", "source_ids": [ "PLTR-K26Q2", "PLTR-K25", "PLTR-IR26Q2" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000041/pltr-20260630.htm", "locator": "Part I Item 1 Notes 3 (RPO), 7 (Purchase Commitments); Part I Item 2 Overview/Revenue/Customers/Contribution Margin/Non-GAAP Reconciliations; condensed operations, cash flows and June balance-sheet tables", "limitation": "Bounded assessment of selected original sources; absence is not proof the values cannot be disclosed elsewhere.", "source_available_dates": [ "2026-08-04", "2026-08-03", "2026-02-17" ] }, { "claim_id": "PLTR-C14", "statement": "Illustrative doubled useful tasks can coincide with half the external model-provider bill if externally served tokens/task and realized price each halve while externally served task share remains fixed.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": null, "kind": "derived", "source_ids": [], "source_url": null, "locator": "Authored illustrative calculation PLTR-C14; not an observed source fact", "limitation": "Task population includes all accepted tasks; externally_billed_share removes customer-owned/self-hosted tasks once. All values are assumed for one hypothetical workflow; neither row estimates Palantir actuals.", "source_available_dates": [] } ] }, { "id": "aapl", "ticker": "AAPL", "company": "Apple Inc.", "role": "buyer / integrated device platform", "headline": "A useful local assistant need not sell an external model call.", "mechanism": "AI can support device sales and retention through on-device, Private Cloud Compute and optional external routes.", "support": "Deployment architecture shows why app usefulness and paid external tokens are distinct; AI-related R&D is mentioned without allocation.", "limit": "Product growth is not AI-attributed; beta promises are not deployed adoption; partner settlement and routing are undisclosed.", "accounting_scope": "Apple Inc. worldwide consolidated iPhone/Services and Apple Intelligence distribution economics; no disclosed AI-only profit, U.S.-only allocation or measured external model-provider billing.", "evidence_tier": "primary-backed selected authored research; not full factual-publication acceptance", "actual_ai_profit_status": "undisclosed", "demand_to_provider_bridge": "Measure incremental device/Services cash and fully loaded serving cost; external provider demand requires measured task routing and commercial settlement.", "facts": [ { "claim_id": "AAPL-task", "statement": "Siri AI demo includes personal-message and email search and cross-app actions; user beta was promised later in 2026.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "June8,2026 demonstration; beta planned later2026", "kind": "management_claim", "source_ids": [ "AAPL-apple-2026-siri" ], "source_url": "https://www.apple.com/newsroom/2026/06/apple-introduces-siri-ai-a-profoundly-more-capable-and-personal-assistant/", "locator": "Article dated June 8 2026; personal-context examples; on-device model and Spotlight/App Toolbox; beta availability.", "limitation": "Developer demonstration and planned beta do not establish adoption or successful tasks.", "source_available_dates": [ "2026-06-08" ] }, { "claim_id": "AAPL-q3-scale", "statement": "FY2026 Q3 iPhone sales $54.252bn versus $44.582bn; Services $30.739bn versus $27.423bn; management cites Pro models and advertising/cloud.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "FY2026 Q3 versus FY2025 Q3", "kind": "reported", "source_ids": [ "AAPL-q3" ], "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/aapl-20260627.htm", "locator": "Item 1 consolidated operations/cash flow, Note 9 purchase obligations, Item 2 Products and Services Performance, Gross Margin, R&D.", "limitation": "Worldwide quarter; not an AI causal estimate.", "source_available_dates": [ "2026-07-31" ] }, { "claim_id": "AAPL-architecture", "statement": "Latest Apple Foundation Models were built with Google/Gemini collaboration and run on device and Apple Private Cloud Compute; Siri local components include Spotlight/App Toolbox.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "June8,2026 announcement", "kind": "management_claim", "source_ids": [ "AAPL-apple-2026-intelligence", "AAPL-apple-2026-siri" ], "source_url": "https://www.apple.com/newsroom/2026/06/apple-intelligence-brings-powerful-ai-capabilities-into-everyday-experiences/", "locator": "Article dated June 8 2026; A Bold New Architecture, Built Privacy-First; availability footnotes.", "limitation": "Deployment route does not disclose the partner economic settlement.", "source_available_dates": [ "2026-06-08", "2026-06-08" ] }, { "claim_id": "AAPL-chatgpt", "statement": "Optional ChatGPT integration is available via Siri suggestion and Writing Tools; account not required for default access.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "December11,2024 announcement", "kind": "management_claim", "source_ids": [ "AAPL-apple-2024-chatgpt" ], "source_url": "https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/", "locator": "Article dated December 11 2024; Tap into ChatGPT with Siri and Writing Tools; privacy and availability.", "limitation": "Provider billings, usage, settlement, revenue share and subscription conversion undisclosed.", "source_available_dates": [ "2024-12-11" ] }, { "claim_id": "AAPL-rd", "statement": "FY2026 Q3 R&D $11.729bn versus $8.866bn; Apple cites infrastructure costs including AI and headcount, without AI allocation.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "FY2026 Q3 versus FY2025 Q3", "kind": "reported", "source_ids": [ "AAPL-q3" ], "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/aapl-20260627.htm", "locator": "Item 1 consolidated operations/cash flow, Note 9 purchase obligations, Item 2 Products and Services Performance, Gross Margin, R&D.", "limitation": "The $2.863bn year-over-year increase is not an AI-only cost.", "source_available_dates": [ "2026-07-31" ] }, { "claim_id": "AAPL-commitments", "statement": "June 2026 unconditional purchase obligations with remaining terms over one year totaled $27.628bn, including $2.053bn due in the remaining three months of FY2026, across suppliers, IP, content and distribution rights.", "value": null, "unit": "See statement; preserve stated currency, stock/flow, and period", "period": "June2026 balance; FY2026 remaining-quarter payments", "kind": "reported", "source_ids": [ "AAPL-q3" ], "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/aapl-20260627.htm", "locator": "Item 1 consolidated operations/cash flow, Note 9 purchase obligations, Item 2 Products and Services Performance, Gross Margin, R&D.", "limitation": "Original contract term is not the same as remaining payment term; obligations cannot be assigned to AI from the disclosed table.", "source_available_dates": [ "2026-07-31" ] } ] }, { "id": "anthropic", "ticker": "ANTHROPIC", "company": "Anthropic", "role": "model supplier", "headline": "Revenue pace and financing answer different questions.", "mechanism": "Model and coding services charge for customer use; financing supplies capital before retained earnings suffice.", "support": "A direct model provider reports substantial monetization.", "limit": "No matched period collections, customer profitability, coding share or workload margin established by this announcement.", "evidence_tier": "primary management announcement", "actual_ai_profit_status": "unknown", "demand_to_provider_bridge": "Identify coding and other customer cohorts, net collections, credits, successful tasks and delivered compute costs; coding may drive spending but this source does not quantify its share.", "facts": [ { "claim_id": "ANT-runrate", "statement": "Anthropic stated its revenue run rate crossed $47bn earlier in May 2026; it announced $65bn financing including $15bn previously committed hyperscaler investments.", "value": 47, "unit": "USD billions annualized management run rate, not audited annual revenue", "period": "May2026; announcement May28", "kind": "management_claim", "source_ids": [ "ANT-series-h" ], "source_url": "https://www.anthropic.com/news/series-h", "locator": "Retained original UTF-8 lines 23–29; run rate line27, included prior commitments line29", "limitation": "Run rate, financing and previously committed investment are different measures; do not add included $15bn again.", "source_available_dates": [ "2026-05-28" ] } ] }, { "id": "chrw", "ticker": "CHRW", "company": "C.H. Robinson", "role": "buyer", "headline": "Faster quotes coexist with a large non-AI earnings confounder.", "mechanism": "Financial corroboration; causal AI share remains unisolated", "support": "Concrete operational or accounting example, with the original review scope preserved.", "limit": "A fast quote is not automatically a booked load or incremental contribution profit. The full transcript and all historical filings remain to be collected. NAST improved while Global Forwarding weakened: company averages obscure different economics. Divestiture charges, perimeter changes and prior-year restructuring affect the comparison. The residual is not automatically AI. No complete source-transcript/filing corpus reviewed; do not treat this seed grade as a validated investment ranking.", "evidence_tier": "selected primary financial checks plus secondary operational excerpt", "actual_ai_profit_status": "unknown", "demand_to_provider_bridge": "A completed quote must become a profitable booked load. Match load mix and labor cash avoided against all implementation and serving costs before assigning any provider budget.", "facts": [ { "claim_id": "CHRW-seed-1", "statement": "Management described freight-quote coverage rising from 60% to 100% and cycle time falling from 17–20 minutes to under 32 seconds. The book prints a repeated excerpt; it is one observation.", "value": null, "unit": "See statement", "period": "FY2025 vs FY2024", "kind": "secondary_management_excerpt", "source_ids": [ "BOOK" ], "source_url": null, "locator": "Orange Book PDF printed pages 45", "limitation": "Full original transcript not reopened; digest cannot establish net profit.", "source_available_dates": [] }, { "claim_id": "CHRW-seed-2", "statement": "FY2025 operating income was $794.961m versus $669.141m; average headcount was 12,733 versus 14,386.", "value": null, "unit": "See statement", "period": "FY2025 vs FY2024", "kind": "prior_selected_filing_check", "source_ids": [ "CHRW-chrw_release" ], "source_url": "https://investor.chrobinson.com/news/press-releases/news-details/2026/C-H--Robinson-Reports-2025-Fourth-Quarter-Results/default.aspx", "locator": "Retained curated seed claims; original filing sections []", "limitation": "Prior selected primary-filing reconciliation retained in seed; original bytes not located/reopened in this bounded pass.", "source_available_dates": [ "2026-01-28" ] }, { "claim_id": "CHRW-seed-3", "statement": "Segment operating-income changes reconcile: NAST +$90.544m, Global Forwarding −$28.693m, Other/Corporate +$63.969m.", "value": null, "unit": "See statement", "period": "FY2025 vs FY2024", "kind": "prior_selected_filing_check", "source_ids": [ "CHRW-chrw_10k" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1043277/000104327726000009/chrw-20251231.htm", "locator": "Retained curated seed claims; original filing sections ['MD&A', 'Note 8 — Segment Reporting', 'Note 14 — Restructuring', 'Note 15 — Divestitures']", "limitation": "Prior selected primary-filing reconciliation retained in seed; original bytes not located/reopened in this bounded pass.", "source_available_dates": [ "2026-02-13" ] }, { "claim_id": "CHRW-seed-4", "statement": "Europe-divestiture expenses declined from $44.462m to $2.108m before tax. The $42.354m difference is about 33.7% of the $125.820m total operating-income increase.", "value": null, "unit": "See statement", "period": "FY2025 vs FY2024", "kind": "prior_selected_filing_check", "source_ids": [ "CHRW-chrw_10k" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1043277/000104327726000009/chrw-20251231.htm", "locator": "Retained curated seed claims; original filing sections ['MD&A', 'Note 8 — Segment Reporting', 'Note 14 — Restructuring', 'Note 15 — Divestitures']", "limitation": "Prior selected primary-filing reconciliation retained in seed; original bytes not located/reopened in this bounded pass.", "source_available_dates": [ "2026-02-13" ] }, { "claim_id": "CHRW-seed-5", "statement": "The 2025 restructuring program explicitly includes AI, automation and facilities consolidation; recognized program charges were $30.405m.", "value": null, "unit": "See statement", "period": "FY2025 vs FY2024", "kind": "prior_selected_filing_check", "source_ids": [ "CHRW-chrw_10k" ], "source_url": "https://www.sec.gov/Archives/edgar/data/1043277/000104327726000009/chrw-20251231.htm", "locator": "Retained curated seed claims; original filing sections ['MD&A', 'Note 8 — Segment Reporting', 'Note 14 — Restructuring', 'Note 15 — Divestitures']", "limitation": "Prior selected primary-filing reconciliation retained in seed; original bytes not located/reopened in this bounded pass.", "source_available_dates": [ "2026-02-13" ] } ] }, { "id": "bac", "ticker": "BAC", "company": "Bank of America", "role": "buyer", "headline": "Two thousand people of capacity is not two thousand payroll exits.", "mechanism": "Coding capacity evidence; payroll conversion not established", "support": "Concrete operational or accounting example, with the original review scope preserved.", "limit": "Equivalent capacity is not evidence that 2,000 paid roles were removed. The coding stage is only part of the end-to-end product-delivery process. No complete source-transcript/filing corpus reviewed; do not treat this seed grade as a validated investment ranking.", "evidence_tier": "secondary Orange Book excerpt; illustrative only", "actual_ai_profit_status": "unknown", "demand_to_provider_bridge": "Code creation is one stage. Savings must survive testing, deployment, review and error costs, and become avoided hiring or cash payroll reduction before a sustainable model bill is identified.", "facts": [ { "claim_id": "BAC-seed-1", "statement": "Management connected AI coding tools to capacity equivalent to about 2,000 people and discussed allowing headcount to decline through attrition.", "value": null, "unit": "See statement", "period": "Q4 2025 / early-2026 statements", "kind": "secondary_management_excerpt", "source_ids": [ "BOOK" ], "source_url": null, "locator": "Orange Book PDF printed pages 15,44", "limitation": "Full original transcript not reopened; digest cannot establish net profit.", "source_available_dates": [] } ] }, { "id": "mck", "ticker": "MCK", "company": "McKesson", "role": "buyer", "headline": "Avoided escalations are a workflow measure, not company-wide savings.", "mechanism": "Narrow operational KPI; dollar savings undisclosed", "support": "Concrete operational or accounting example, with the original review scope preserved.", "limit": "The denominator is a specific regulatory-data inquiry workflow, not all support contacts or all operating cost. Avoided escalations can improve service without releasing payroll. No complete source-transcript/filing corpus reviewed; do not treat this seed grade as a validated investment ranking.", "evidence_tier": "secondary Orange Book excerpt; illustrative only", "actual_ai_profit_status": "unknown", "demand_to_provider_bridge": "Regulatory-data inquiries must be resolved accurately; avoided escalation time becomes value through better service or avoidable staffed cost. External model spend is undisclosed.", "facts": [ { "claim_id": "MCK-seed-1", "statement": "An AI chat tool launched in November reportedly prevented 75% of DSCSA-related inquiries from escalating.", "value": null, "unit": "See statement", "period": "Q4 2025 / early-2026 statements", "kind": "secondary_management_excerpt", "source_ids": [ "BOOK" ], "source_url": null, "locator": "Orange Book PDF printed pages 30,46", "limitation": "Full original transcript not reopened; digest cannot establish net profit.", "source_available_dates": [] } ] }, { "id": "ctsh", "ticker": "CTSH", "company": "Cognizant", "role": "buyer / services supplier", "headline": "Contract design decides who keeps the coding gain.", "mechanism": "Per-employee improvement; contract mix affects capture", "support": "Concrete operational or accounting example, with the original review scope preserved.", "limit": "Fixed-price versus time-and-materials contracts change who keeps productivity gains. Acquisitions, utilization and geography can change per-employee metrics. No complete source-transcript/filing corpus reviewed; do not treat this seed grade as a validated investment ranking.", "evidence_tier": "secondary Orange Book excerpt; illustrative only", "actual_ai_profit_status": "unknown", "demand_to_provider_bridge": "Fixed-price delivery can let the vendor retain productivity; time-and-material billing can pass it to the buyer. Measure delivered output, realized rate and fully loaded labor/model cost.", "facts": [ { "claim_id": "CTSH-seed-1", "statement": "Management reported 5% higher trailing revenue and 8% higher adjusted operating income per employee, alongside AI-assisted development and a higher fixed-bid/transaction-based mix.", "value": null, "unit": "See statement", "period": "Q4 2025 / early-2026 statements", "kind": "secondary_management_excerpt", "source_ids": [ "BOOK" ], "source_url": null, "locator": "Orange Book PDF printed pages 46", "limitation": "Full original transcript not reopened; digest cannot establish net profit.", "source_available_dates": [] } ] } ], "sources": [ { "id": "T4", "source_id": "MSFT-T4", "title": "Microsoft FY2026 fourth-quarter earnings call", "source_type": "management statement", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "DOCX word/document.xml paragraphs indexed from zero: 23 throughput; 71 paid Copilot seats; 137–139 capex and cash; 143 RPO; 156 Azure; 164–165 lease reclassification; 246–260 Copilot Q&A; 275–284 investment-return Q&A", "url": "https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/TranscriptFY26Q4.docx" }, { "id": "K2026", "source_id": "MSFT-K2026", "title": "Microsoft FY2026 Form 10-K", "source_type": "filing", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "Part I Item 1 Business; Part II Item 7 FY2026 gross margin, liquidity and Contractual Obligations table; Item 8 consolidated cash-flow statement FY2026/FY2025 columns; Note 1 Investments/OpenAI; Note 13 Leases, maturity table and uncommenced paragraph; Item 7 Cash Flows (printed p43), other-investing year-over-year change; Note 1 Contract Balances and Other Receivables (p57), component-facilitation receivables and restricted supplier investments; Note 13 supplemental cash flow (p77), FY2026 Financing cash flows from finance leases.", "url": "https://www.sec.gov/Archives/edgar/data/789019/000119312526323660/msft-20260630.htm" }, { "id": "T2", "source_id": "META-T2", "title": "Meta Q2 2026 earnings call", "source_type": "management statement — official full transcript including Q&A", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "July 29, 2026; prepared remarks pp.1–9 and Q&A pp.10–21; specific model outcomes p.7, Instagram engagement p.5, open models pp.17–20, near-term capacity/2028 flexibility p.21.", "url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf" }, { "id": "F2", "source_id": "META-F2", "title": "Meta Q2 2026 follow-up Q&A", "source_type": "management statement — official full transcript including Q&A", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "July 29, 2026; Susan Li answers Ron Josey/Youssef Squali pp.1–3; Nathanson/Black pp.4–5; Khajuria p.6; Champion p.10 on prospective agent charging.", "url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Follow-Up-Call-Transcript.pdf" }, { "id": "Q226", "source_id": "META-Q226", "title": "Meta 10-Q for 2026-06-30", "source_type": "filing", "published_at": "2026-07-30", "available_at": "2026-07-30", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828026050705/meta-20260630.htm" }, { "id": "Q126", "source_id": "META-Q126", "title": "Meta 10-Q for 2026-03-31", "source_type": "filing", "published_at": "2026-04-30", "available_at": "2026-04-30", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828026028526/meta-20260331.htm" }, { "id": "K25", "source_id": "META-K25", "title": "Meta 10-K for 2025-12-31", "source_type": "filing", "published_at": "2026-01-29", "available_at": "2026-01-29", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828026003942/meta-20251231.htm" }, { "id": "Q325", "source_id": "META-Q325", "title": "Meta 10-Q for 2025-09-30", "source_type": "filing", "published_at": "2025-10-30", "available_at": "2025-10-30", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828025047240/meta-20250930.htm" }, { "id": "Q225", "source_id": "META-Q225", "title": "Meta 10-Q for 2025-06-30", "source_type": "filing", "published_at": "2025-07-31", "available_at": "2025-07-31", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828025036791/meta-20250630.htm" }, { "id": "q2", "source_id": "AMZN-q2", "title": "Amazon June 2026 Form 10-Q", "source_type": "filing", "published_at": "2026-07-31", "available_at": "2026-07-31", "accessed_at": "2026-09-28", "locator": "Cash-flow statement, H1 columns; Note 1 Unearned Revenue; Note 2 Anthropic/OpenAI and liquid/restricted assets; Notes 3–5 lease, commitment and financing disclosures; MD&A AWS sales and operating income.", "url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000026/amzn-20260630.htm" }, { "id": "release", "source_id": "AMZN-release", "title": "Amazon Q2 2026 results release", "source_type": "management statement", "published_at": "2026-07-30", "available_at": "2026-07-30", "accessed_at": "2026-09-28", "locator": "Dated July 30 2026; Jassy quotation and highlights: AI/chips run rates, Bedrock spending, Trainium adoption; rendered browser snapshot.", "url": "https://ir.aboutamazon.com/news-release/news-release-details/2026/Amazon-com-Announces-Second-Quarter-Results/" }, { "id": "letter", "source_id": "AMZN-letter", "title": "Amazon 2025 shareholder letter", "source_type": "management statement", "published_at": "2026-04-08", "available_at": "2026-04-08", "accessed_at": "2026-09-28", "locator": "AI numbered points 2–6: customer platform rationale, Trainium price-performance, chip run-rate composition, expected margin/capex savings, billing lag and 2027–2028 monetization. Date supported by retained IR index.", "url": "https://s2.q4cdn.com/299287126/files/doc_financials/2026/ar/2025-Shareholder-Letter-Final.pdf" }, { "id": "annual", "source_id": "AMZN-annual", "title": "Amazon 2025 Form 10-K", "source_type": "filing", "published_at": "2026-02-06", "available_at": "2026-02-06", "accessed_at": "2026-09-28", "locator": "Note 1: January 2025 useful-life reduction; Business: Developers and Enterprises; segment infrastructure allocation.", "url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" }, { "id": "q2-2026", "source_id": "GOOGL-q2-2026", "title": "Alphabet 2026-06-30 Form 10-Q", "source_type": "filing", "published_at": "2026-07-23", "available_at": "2026-07-23", "accessed_at": "2026-09-28", "locator": "Balance sheet p4; cash flows p9 six-month 2026 column; Notes 1–4 pp10–24, Note 6 debt, Note 8 Wiz, Note 10 commitments, Note 11 equity, Note 15 segments; MD&A liquidity pp51–54.", "url": "https://www.sec.gov/Archives/edgar/data/1652044/000165204426000071/goog-20260630.htm" }, { "id": "call-q2", "source_id": "GOOGL-call-q2", "title": "Alphabet 2026 Q2 earnings call including Q&A", "source_type": "management statement", "published_at": "2026-07-22", "available_at": "2026-07-22", "accessed_at": "2026-09-28", "locator": "Schindler Search/adopter conversions; Pichai paid enterprise use; CFO results/outlook; Anmuth financing Q&A; Sheridan TPU inventory/revenue; Nathanson product margin; Shmulik bridge-capacity return.", "url": "https://abc.xyz/investor/events/event-details/2026/2026-Q2-Earnings-Call-2026-GgTAq7Is0z/default.aspx" }, { "id": "call-q1", "source_id": "GOOGL-call-q1", "title": "Alphabet 2026 Q1 earnings call including Q&A", "source_type": "management statement", "published_at": "2026-04-29", "available_at": "2026-04-29", "accessed_at": "2026-09-28", "locator": "Pichai Search response costs; Schindler monetization; CFO Cloud and TPU outlook; Q&A.", "url": "https://abc.xyz/investor/events/event-details/2026/2026-Q1-Earnings-Call-2026-nW8kCrBAKS/default.aspx" }, { "id": "K", "source_id": "CRWV-K", "title": "CoreWeave FY2025 Form 10-K", "source_type": "filing", "published_at": "2026-03-02", "available_at": "2026-03-02", "accessed_at": "2026-09-28", "locator": "Business/platform, customer concentration and competitors; MD&A Components of Results; Note1 technology-equipment life and committed-contract revenue policy", "url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000104/crwv-20251231.htm" }, { "id": "Q", "source_id": "CRWV-Q", "title": "CoreWeave Q2 2026 Form 10-Q", "source_type": "filing", "published_at": "2026-08-12", "available_at": "2026-08-12", "accessed_at": "2026-09-28", "locator": "Cash flows p11 (six months 2026 column); balance sheet p6; Note2 p15; Note8 pp24–25; Note10 pp27–31; MD&A liquidity and customer/supplier risks", "url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000366/crwv-20260630.htm" }, { "id": "T", "source_id": "CRWV-T", "title": "CoreWeave Q2 2026 corrected earnings-call transcript", "source_type": "management statement", "published_at": "2026-08-11", "available_at": "2026-08-11", "accessed_at": "2026-09-28", "locator": "pp3,7–9,10–13,16–18: Intrator/Agrawal prepared remarks; Chatterjee renewal/pricing, Zelnick inference/margins, Turrin power timing, Knoblauch duration Q&A", "url": "https://s205.q4cdn.com/133937190/files/doc_financials/2026/q2/CRWV-US-CORRECTED-TRANSCRIPT-CoreWeave-Q2-2026-Earnings-Call-11August2026.pdf" }, { "id": "P", "source_id": "CRWV-P", "title": "CoreWeave continues to contract capacity at higher prices", "source_type": "management statement", "published_at": "2026-09-17", "available_at": "2026-09-17", "accessed_at": "2026-09-28", "locator": "Dated body: three-to-six-month contracts, annualized revenue/power metric, early Q3 commitments", "url": "https://investors.coreweave.com/news/news-details/2026/CoreWeave-Continues-to-Contract-New-Compute-Capacity-at-Higher-Prices/default.aspx" }, { "id": "q1-filing", "source_id": "ORCL-q1-filing", "title": "Oracle 10-Q for period ended 2026-08-31", "source_type": "filing", "published_at": "2026-09-11", "available_at": "2026-09-11", "accessed_at": "2026-09-28", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm" }, { "id": "q4-release", "source_id": "ORCL-q4-release", "title": "Oracle Q4 FY2026 earnings release", "source_type": "management_statement_earnings_release_not_transcript", "published_at": "2026-06-10", "available_at": "2026-06-10", "accessed_at": "2026-09-28", "locator": "pp.2–3, RPO and capital funding", "url": "https://s23.q4cdn.com/440135859/files/doc_earnings/2026/q4/earnings-result/4q26-pressrelease-final.pdf" }, { "id": "annual", "source_id": "ORCL-annual", "title": "Oracle 10-K for period ended 2026-05-31", "source_type": "filing", "published_at": "2026-06-22", "available_at": "2026-06-22", "accessed_at": "2026-09-28", "locator": "Note1 revenue recognition pp.70–72 and concentrations pp.74–75; Risk Factors OCI concentration; Note13 segment seasonality", "url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526277521/orcl-20260531.htm" }, { "id": "deck", "source_id": "EQIX-deck", "title": "Equinix Q2 2026 earnings presentation", "source_type": "management statement", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "Printed pp.3,10,11,24,26,48–50: demand, mature portfolio, capex, cabinet metrics, construction schedule and definitions", "url": "https://d1io3yog0oux5.cloudfront.net/_f9ad8b88d669de65a966b7e00da37b99/equinix/db/2183/27054/earnings_presentation/Equinix+Q2+26+Earnings+Presentation+Final.pdf" }, { "id": "release", "source_id": "EQIX-release", "title": "Equinix Q2 2026 results release", "source_type": "management statement", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "Results and 2026 / 2027–2029 outlook, capital spending exclusions; not a transcript", "url": "https://investor.equinix.com/news-events/press-releases/detail/1114/equinix-reports-second-quarter-results-raises-2026/" }, { "id": "q2", "source_id": "EQIX-q2", "title": "Equinix Q2 2026 Form 10-Q", "source_type": "filing", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "pp.6/9 balance sheet and cash flows; Note4 pp.12–14; Note7 leases; Note9 commitments; MD&A revenue, AFFO pp.55–56 and liquidity", "url": "https://www.sec.gov/Archives/edgar/data/1101239/000110123926000147/eqix-20260630.htm" }, { "id": "FUND", "source_id": "OPENAI-FUND", "title": "Scaling AI for everyone", "source_type": "management_statement", "published_at": "2026-02-27", "available_at": "2026-02-27", "accessed_at": "2026-09-28", "locator": "Article paragraphs beginning Today, More than 9 million, and ChatGPT is where; funding, users and subscribers", "url": "https://openai.com/index/scaling-ai-for-everyone/" }, { "id": "MSAMEND", "source_id": "OPENAI-MSAMEND", "title": "The next phase of the Microsoft OpenAI partnership", "source_type": "management_statement", "published_at": "2026-04-27", "available_at": "2026-04-27", "accessed_at": "2026-09-28", "locator": "Agreement bullet list: cloud access, IP licence, two revenue-share directions and cap", "url": "https://openai.com/index/next-phase-of-microsoft-partnership/" }, { "id": "MSK", "source_id": "OPENAI-MSK", "title": "Microsoft FY2026 Form10-K", "source_type": "filing", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "Note1 Investment in OpenAI/related-party paragraph; commercial revenue, receivable, funding, HLBV; Note3 recapitalization gains", "url": "https://www.sec.gov/Archives/edgar/data/789019/000119312526323660/msft-20260630.htm" }, { "id": "AMQ", "source_id": "OPENAI-AMQ", "title": "Amazon June2026 Form10-Q", "source_type": "filing", "published_at": "2026-07-31", "available_at": "2026-07-31", "accessed_at": "2026-09-28", "locator": "Note1 Unearned Revenue AWS/OpenAI $38bn+$100bn/8years and chip-performance obligations; Note2 Equity Investments OpenAI SeriesC; MD&A Liquidity printed pages27–28", "url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000026/amzn-20260630.htm" }, { "id": "K26Q2", "source_id": "PLTR-K26Q2", "title": "Palantir Form 10-Q for quarter ended June 30, 2026", "source_type": "filing", "published_at": "2026-08-04", "available_at": "2026-08-04", "accessed_at": "2026-09-29", "locator": "Part I Item 1 Notes 3 (RPO), 7 (Purchase Commitments); Part I Item 2 Overview/Revenue/Customers/Contribution Margin/Non-GAAP Reconciliations; condensed operations, cash flows and June balance-sheet tables", "url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000041/pltr-20260630.htm" }, { "id": "IR26Q2", "source_id": "PLTR-IR26Q2", "title": "Palantir Q2 2026 earnings release", "source_type": "management statement", "published_at": "2026-08-03", "available_at": "2026-08-03", "accessed_at": "2026-09-29", "locator": "Rendered main article: Q2 2026 Highlights; Financial Summary; Additional Definitions for TCV/RDV/RPO; Non-GAAP Reconciliations for operating income and stock compensation", "url": "https://investors.palantir.com/news-details/2026/Palantir-Reports-Q2-2026-U-S--Comm-Revenue-Growth-of-149-YY-and-Revenue-Growth-of-93-YY-Raises-FY-2026-Revenue-Guidance-to-82-YY-Growth-and-U-S--Comm-Revenue-Guidance-to-134-YY-Crushing-Consensus-Expectations/" }, { "id": "K25", "source_id": "PLTR-K25", "title": "Palantir FY2025 Form 10-K", "source_type": "filing", "published_at": "2026-02-17", "available_at": "2026-02-17", "accessed_at": "2026-09-29", "locator": "Item 1 Business: Foundry/AIP/Ontology/Apollo descriptions; Item 8 Revenue Recognition: Palantir Cloud, On-Premises Software and Professional Services", "url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm" }, { "id": "apple-2026-siri", "source_id": "AAPL-apple-2026-siri", "title": "Apple introduces Siri AI", "source_type": "management statement", "published_at": "2026-06-08", "available_at": "2026-06-08", "accessed_at": "2026-09-29", "locator": "Article dated June 8 2026; personal-context examples; on-device model and Spotlight/App Toolbox; beta availability.", "url": "https://www.apple.com/newsroom/2026/06/apple-introduces-siri-ai-a-profoundly-more-capable-and-personal-assistant/" }, { "id": "q3", "source_id": "AAPL-q3", "title": "Apple FY2026 Q3 Form 10-Q", "source_type": "filing", "published_at": "2026-07-31", "available_at": "2026-07-31", "accessed_at": "2026-09-29", "locator": "Item 1 consolidated operations/cash flow, Note 9 purchase obligations, Item 2 Products and Services Performance, Gross Margin, R&D.", "url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/aapl-20260627.htm" }, { "id": "apple-2026-intelligence", "source_id": "AAPL-apple-2026-intelligence", "title": "Apple Intelligence brings powerful AI capabilities into everyday experiences", "source_type": "management statement", "published_at": "2026-06-08", "available_at": "2026-06-08", "accessed_at": "2026-09-29", "locator": "Article dated June 8 2026; A Bold New Architecture, Built Privacy-First; availability footnotes.", "url": "https://www.apple.com/newsroom/2026/06/apple-intelligence-brings-powerful-ai-capabilities-into-everyday-experiences/" }, { "id": "apple-2024-chatgpt", "source_id": "AAPL-apple-2024-chatgpt", "title": "Apple Intelligence features ChatGPT integration", "source_type": "management statement", "published_at": "2024-12-11", "available_at": "2024-12-11", "accessed_at": "2026-09-29", "locator": "Article dated December 11 2024; Tap into ChatGPT with Siri and Writing Tools; privacy and availability.", "url": "https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/" }, { "source_id": "ANT-series-h", "title": "Anthropic raises $65B in Series H funding", "source_type": "company announcement", "published_at": "2026-05-28", "available_at": "2026-05-28", "locator": "Retained original UTF-8 lines 23–29; run rate line27, included prior commitments line29", "url": "https://www.anthropic.com/news/series-h" }, { "source_id": "BOOK", "title": "User-provided Bloomberg Orange Book 2026", "source_type": "secondary research digest", "published_at": null, "coverage": "Statements through February2026; publication date not established; not all365 underlying transcripts supplied", "url": null }, { "source_id": "CHRW-chrw_release", "title": "C.H. Robinson 2025 fourth-quarter results", "kind": "primary earnings release", "published_on": "2026-01-28", "url": "https://investor.chrobinson.com/news/press-releases/news-details/2026/C-H--Robinson-Reports-2025-Fourth-Quarter-Results/default.aspx" }, { "source_id": "CHRW-chrw_10k", "title": "C.H. Robinson FY2025 Form 10-K", "kind": "primary SEC filing", "period": "FY2025", "filed_on": "2026-02-13", "url": "https://www.sec.gov/Archives/edgar/data/1043277/000104327726000009/chrw-20251231.htm" } ] }, "current": { "schema_version": 1, "as_of": "2026-10-23", "historical_cutoff": "2026-09-27", "scope": "Current verification layer; older primary sources explicitly dated. No canonical research/workbook changes.", "status_definitions": { "verified": "Narrow statement supported by inspected primary evidence; not the broad economic inference.", "partial": "Some factual premises supported; broader scope, causality or primary document remains missing.", "unverified": "Exact claim not established in bounded inquiry; absence is not disproof.", "contradicted": "Inspected evidence directly conflicts with the exact claim." }, "inquiry_limits": [ "No original Anthropic draft S-1 or authenticated public filing obtained.", "No exact OpenRouter integer export; twelve rounded primary chart weeks now retained, explicitly limited to public telemetry.", "No current ranked-spender six-month-delay evidence found in bounded search.", "No new paid API or subscription route used.", "Aside temporary tab auto-closed at one-shot REPL completion; subsequent source tab explicitly closed." ], "claims": [ { "id": "CUR-C01", "topic": "Anthropic", "claim": "Anthropic leaked S-1 is impressive but growth is slowing.", "story_points": [], "status": "partial", "evidence_type": "secondary reporting", "metric": "USD recognized-quarter revenue as reported to investors; growth=(16.8/11.5)-1", "period": "Q2 and Q3 2026; disclosures October15/20", "finding": "Euronews reports Q3 revenue16.8B versus Q2 11.5B:46.1% sequential growth after a more-than-doubling quarter. WSJ reports reviewing a draft prospectus. The original draft was not obtained.", "publication_wording": "Reported quarterly revenue still grew rapidly, while its percentage growth slowed. The draft-filing claims remain attributed reporting.", "source_ids": [ "CUR-S01", "CUR-S02", "CUR-S03" ], "missing_evidence": [ "Original draft S-1, version/date and revenue footnotes", "Comparable Q1–Q3 financial statements", "Definition of adjusted profit and cash-flow adjustments" ] }, { "id": "CUR-C02", "topic": "OpenRouter", "claim": "Public OpenRouter token growth slowed in the observed twelve-week window; the latest completed week declined.", "story_points": [], "status": "verified", "evidence_type": "primary visible chart observations and deterministic arithmetic", "metric": "Official Top Models chart, nine named models plus Others; prompt+completion tokens; private requests/models/endpoints and zero-data-retention traffic excluded. Derived rates approximate because displays are rounded.", "period": "Twelve completed Monday-labelled weeks beginning2026-07-27 through2026-10-12; reconstructed ends throughOctober18; observedOctober23 with page data throughOctober22.", "finding": "Twelve primary rounded weekly totals are retained for July27–October18. Equal four-week totals rose294.5T→484T→648T, slowing from+64.3% to+33.9%. Latest week164T fell approximately4.7% from172T; it remains27.1% above four weeks earlier.", "publication_wording": "Public OpenRouter token growth decelerated and the latest complete week dipped. This is not evidence of persistent contraction or total-market demand decline.", "source_ids": [ "CUR-S07", "CUR-S24" ], "missing_evidence": [ "Exact integer daily export and stable-coverage history", "Full cache and paid/free splits; realized revenue/compute intensity", "Private OpenRouter traffic, direct-provider APIs and first-party apps outside this public series" ], "original_input_claim": "Overall OpenRouter token usage is slowing.", "correction_note": "Accepted primary chart reconstruction supersedes provisional third-party-only status; original broader wording retained in original_input_claim." }, { "id": "CUR-C03", "topic": "OpenAI", "claim": "Two distinct $70B references accompany OpenAI’s reported $50B annualized figure.", "story_points": [], "status": "partial", "evidence_type": "Secondary reporting; original Bloomberg page excerpt retrieved by root", "metric": "Annualized revenue, not recognized full-year revenue", "period": "End-September 2026 annualized snapshot versus prior presentation; separately a reported year-end 2026 target", "finding": "Axios reports $50B versus an earlier $70B presentation on a different partner-sales accounting basis. Separately, Bloomberg’s October 9 original-page excerpt reports roughly $50B annualized revenue at end-September and an expectation to reach or exceed $70B by year-end, citing people familiar with the matter. Neither establishes a realized same-basis forecast miss.", "publication_wording": "Axios reported a $50B annualized figure versus an earlier $70B presentation on a different accounting basis. Separately, Bloomberg reported roughly $50B annualized at end-September and an expectation to reach or exceed $70B by year-end, citing people familiar with the matter. The original-page excerpt was retrieved; this verifies the attributed report, not audited financials or a realized same-basis forecast miss as of October 23.", "source_ids": [ "CUR-S04", "CUR-S25" ], "missing_evidence": [ "Original investor presentation and audited revenue-recognition reconciliation", "Underlying company target and accounting comparability across the two reports", "Full Bloomberg article not claimed; verified scope is visible original-page excerpt" ], "original_input_claim": "OpenAI revenue is $50B versus $65B predicted.", "correction_note": "User clarified70B on2026-10-23; original65B assertion retained in original_input_claim and verbatim story, not as adopted analysis.", "reconciliation_note": "research/current_openai_comparisons.md" }, { "id": "CUR-C04", "topic": "Meta", "claim": "Meta had great earnings; this is bearish for near-term frontier demand.", "story_points": [], "status": "partial", "evidence_type": "primary financials plus analytical inference", "metric": "USD consolidated Q3; capex includes finance-lease principal; ex-charge result separate from GAAP", "period": "Quarter ended2026-09-30; released2026-10-21", "finding": "Q3 revenue64.601B rose26%; GAAP operating income12.988B fell37% but includes9.89B litigation charge. Ex-charge operating income22.88B. Capex34.91B; FCF−2.12B. Strong core monetization does not disclose external frontier-model purchases.", "publication_wording": "Meta illustrates monetization inside an established distribution business. The implication for third-party frontier demand is an inference, not a reported result.", "source_ids": [ "CUR-S09" ], "missing_evidence": [ "Spend by external lab/model and training/inference", "Incremental advertising gross profit causally attributed to specific models", "Do not conflate GAAP EPS with charge-adjusted EPS" ] }, { "id": "CUR-C05", "topic": "Tesla", "claim": "Tesla had great earnings; this is bearish for near-term frontier demand.", "story_points": [], "status": "partial", "evidence_type": "primary financials plus analytical inference", "metric": "USD consolidated quarter; GAAP and adjusted metrics separate", "period": "Quarter ended2026-09-30; released2026-10-21", "finding": "Q3 revenue28.046B roughly flat YoY; GAAP operating income0.718B down56%; GAAP common net income0.787B down43%; adjusted EPS0.48. Free cash flow1.531B recovered sequentially from−1.092B.", "publication_wording": "Tesla’s quarter is mixed across measures. Its operating results do not measure external frontier-language-model demand.", "source_ids": [ "CUR-S10", "CUR-S11" ], "missing_evidence": [ "Exact meaning of great: consensus beat, sequential recovery, or YoY growth", "External model spend; autonomy/training versus general inference split" ] }, { "id": "CUR-C06", "topic": "Financing clocks", "claim": "Prepaid, contracted and delayed compute create funding pressure if revenue disappoints.", "story_points": [], "status": "partial", "evidence_type": "primary definition; conditional accounting mechanism", "metric": "Stocks of backlog versus period revenue/cash; avoid adding upstream and downstream claims", "period": "Current inquiry through2026-10-23; historical packet retains pre-cutoff evidence", "finding": "CoreWeave’s disclosed backlog definition is conditional on delivery and service availability. The economic mechanism is valid, but the current inquiry has not reconciled customer minimum payments, delivery triggers, unrestricted cash and financing for a named contract.", "publication_wording": "Separate contract signature, prepayment, delivery, billable service and cash collection. Funding stress is a conditional scenario until contract-level obligations are matched.", "source_ids": [ "CUR-S22", "CUR-S03" ], "missing_evidence": [ "Named contracts, payment schedules, termination rights and delivery remedies", "Restricted versus unrestricted funds", "Matched supplier/customer financing and revenue cohort" ] }, { "id": "CUR-C07", "topic": "Free and bundled usage", "claim": "Dots, Duet, Grok Bot and Google give away proactive usage, contradicting blanket scarcity.", "story_points": [], "status": "partial", "evidence_type": "primary product terms plus inference", "metric": "Retail incremental price versus subscription price, quota, marginal cost and capacity", "period": "DotsSep29/current helpOct22; DuetOct21; GrokAug26; GoogleMar17 2026", "finding": "Dots is bundled with eligible paid plans and deeper-work allowances. Duet is a US Pro/Max waitlist preview with background work counting against shared limits. Grok Bot has separate usage bundled in paid plans. Google extends personal intelligence to free-tier users.", "publication_wording": "Some marginal usage is bundled or subsidized. Product terms do not establish unconstrained physical supply; the universal free-agent claim needs these distinctions.", "source_ids": [ "CUR-S13", "CUR-S14", "CUR-S15", "CUR-S16", "CUR-S17" ], "missing_evidence": [ "Measured proactive usage, compute cost and subsidy by plan", "Capacity/time/location, latency and limits", "No aggregate utilization conclusion from promotional price alone" ] }, { "id": "CUR-C08", "topic": "Selective routing", "claim": "The biggest spenders are shifting to smaller models.", "story_points": [], "status": "partial", "evidence_type": "primary deployment self-report", "metric": "Deployment share in a named workflow, not share of total enterprise spending", "period": "IntercomMarch26 2026; OpenRouterSeptember2026", "finding": "Intercom reports moving approximately100% of English chat/email Fin core answering to its own Apex model from frontier models. OpenRouter shows high open-weight token share, but neither establishes migration by a ranked universe of biggest spenders or model parameter sizes.", "publication_wording": "A concrete application vendor reports replacing frontier answering with a specialized model. Broader largest-customer migration remains unmeasured.", "source_ids": [ "CUR-S18", "CUR-S05" ], "missing_evidence": [ "Ranked spender denominator and before/after bills", "Comparable task quality and model size", "Retained training/distillation/frontier spending" ] }, { "id": "CUR-C09", "topic": "Waiting option", "claim": "Major buyers are waiting six months for cheaper models.", "story_points": [], "status": "unverified", "evidence_type": "unsupported generalization", "metric": "Buyer count, budget deferred, delay length and counterfactual benefit unknown", "period": "As of2026-10-23", "finding": "A bounded search did not locate a current named major-buyer disclosure establishing this exact behavior or its scale. This is not proof that such behavior does not occur.", "publication_wording": "Treat waiting as an explicit scenario assumption, not an observed industry rate.", "source_ids": [], "missing_evidence": [ "Named buyer/decision-maker statement", "Original publication and date", "Workload, deferred dollars and actual adoption date" ] }, { "id": "CUR-C10", "topic": "Personal assistants", "claim": "Altman says Dot saves him one hour a day.", "story_points": [], "status": "verified", "evidence_type": "primary original video captions", "metric": "Self-estimated time saved per person per day; no measured counterfactual", "period": "Interview published2026-10-21", "finding": "Original YouTube captions place his estimate at13:23–13:29. Publication metadata is2026-10-21T08:30:24−07:00. This is a personal estimate, not measured cash savings or a universal productivity ceiling.", "publication_wording": "At13:23, Altman estimates Dot saves him an hour daily on unwanted work.", "source_ids": [ "CUR-S12" ], "missing_evidence": [ "Independent time-use measurement", "Configuration and ultrafast status", "Whether saved time becomes output, leisure or paid payroll reduction" ], "supporting_notes": [ "Supplied workbook S22 separately attributes a September 30 Every interview without an original URL (V2 slide 10). That source identity remains unresolved and is not established by the verified October 21 Matthew Berman video. The verified one-hour quote and its timestamp remain unchanged." ] }, { "id": "CUR-C11", "topic": "Coding review", "claim": "AI coding creates review, rework and bug costs.", "story_points": [], "status": "partial", "evidence_type": "primary research with scope limits", "metric": "Review workload and original code contribution; not company profit or all October2026 tools", "period": "Studyv3January28 2026; METR updateFebruary24 2026", "finding": "An OSS/Copilot study reports more review/rework concentrated on core developers. METR’s February2026 update warns its later productivity estimates are unreliable because of selection and measurement effects. No current all-coding net-loss estimate follows.", "publication_wording": "Review and rework are real cost categories; measure net delivery time and escaped defects alongside generation speed.", "source_ids": [ "CUR-S19", "CUR-S20" ], "missing_evidence": [ "Representative current-model controlled workload", "Review time, incident costs, maintenance and accepted output", "Cash realization versus saved capacity" ] }, { "id": "CUR-C12", "topic": "Physical experimentation", "claim": "Biotech has brains without legs: intelligence cannot instantly remove lab and trial bottlenecks.", "story_points": [], "status": "partial", "evidence_type": "primary process evidence; economic analogy", "metric": "Workflow stages and indicative study duration, not AI-specific investment return", "period": "FDA guidance accessed2026-10-23", "finding": "FDA describes preclinical evidence, human trials and review as distinct steps; Phase2 commonly lasts months to2years and Phase3 one to4years. This supports a physical-validation lag, not a fixed cap on biotech AI demand.", "publication_wording": "More candidate designs still require experiments and clinical validation before becoming approved treatments.", "source_ids": [ "CUR-S21" ], "missing_evidence": [ "Named program bottleneck and compute spend", "Laboratory throughput, trial endpoints and approval pathway", "Evidence that faster design does or does not expand experimental demand" ] }, { "id": "CUR-C13", "topic": "Token economics", "claim": "Rising token totals can overstate growth in expensive compute and revenue.", "story_points": [], "status": "verified", "evidence_type": "primary platform telemetry", "metric": "Agent/human API-key token ratio; cached-prompt share of all agent tokens. Cache rate itself=cached prompt/total prompt.", "period": "September2026; newsletterOctober8", "finding": "OpenRouter reports agentic tokens7x human tokens in the last week of September and cached prompts just under90% of all agent tokens. Its classifier and reseller exclusion limit scope; cached tokens, novel inputs and outputs have different economics.", "publication_wording": "Track token type and realized price: a cached token is not the same economic unit as a newly generated output token.", "source_ids": [ "CUR-S06" ], "missing_evidence": [ "Realized provider price and compute intensity by token type", "Direct-API and first-party-app coverage" ] }, { "id": "CUR-C14", "topic": "Macroeconomic scale", "claim": "A10–20% GDP expansion implies trillions of dollars of additional output.", "story_points": [ 10 ], "status": "verified", "evidence_type": "primary government table plus arithmetic", "metric": "Nominal annual2025 GDP, revised vintage availableOctober7 2026. Not Q2 annualized GDP, real growth, cumulative revenue or gross output.", "period": "Calendar2025; postSeptember27 source vintage", "finding": "Official table gives2025 US nominal GDP of30,861.3B USD.10–20% of that baseline is3,086.13–6,172.26B. These are arithmetic scale equivalents, not forecasts or frontier-model revenue.", "publication_wording": "Using2025 US nominal GDP ofabout30.9T as a scale reference,10–20% isabout3.1–6.2T of additional value added.", "source_ids": [ "CUR-S23" ], "missing_evidence": [ "Causal AI contribution and horizon", "Pass-through from value added to enterprise profit and model-provider receipts", "Price/inflation treatment for an intertemporal growth projection" ] } ], "sources": [ { "id": "CUR-S01", "title": "Anthropic raises $65B Series H", "publisher": "Anthropic", "source_type": "primary", "published_at": "2026-05-28", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Announcement opening paragraphs", "url": "https://www.anthropic.com/news/series-h" }, { "id": "CUR-S02", "title": "Anthropic revenue jumps 46% to $16.8bn", "publisher": "Euronews", "source_type": "secondary", "published_at": "2026-10-15T10:57:00+02:00", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Article paragraphs 1–6", "url": "https://www.euronews.com/2026/10/15/anthropic-revenue-jumps-46-to-168bn-as-ai-firm-eyes-record-2-trillion-ipo-valuation" }, { "id": "CUR-S03", "title": "Anthropic S-1 Shows Red-Hot Growth, Risks and Massive Computing Costs", "publisher": "Wall Street Journal", "source_type": "secondary", "published_at": "2026-10-20", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Headline, subheading and accessible opening", "url": "https://www.wsj.com/tech/ai/anthropic-revenue-growth-ipo-accaf0f1" }, { "id": "CUR-S04", "title": "OpenAI annualized revenue $20 billion less than previously reported", "publisher": "Axios", "source_type": "secondary", "published_at": "2026-10-08T19:50:13Z", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Opening and partner-sales accounting explanation", "url": "https://www.axios.com/2026/10/08/openai-50-billion-arr-anthropic-revenue-accounting" }, { "id": "CUR-S05", "title": "The Token State of Play", "publisher": "OpenRouter", "source_type": "primary", "published_at": "2026-09-22", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Whole-pie growth and open/closed model sections", "url": "https://openrouter.ai/data/newsletter/the-token-state-of-play" }, { "id": "CUR-S06", "title": "Cache is Crucial", "publisher": "OpenRouter", "source_type": "primary", "published_at": "2026-10-08", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Agents now run the show; Cache rules everything; methodology footer", "url": "https://openrouter.ai/data/newsletter/cache-is-crucial" }, { "id": "CUR-S07", "title": "AI Model Rankings", "publisher": "OpenRouter", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Top Models; leaderboard; How these rankings are measured", "url": "https://openrouter.ai/rankings" }, { "id": "CUR-S08", "title": "AI Token Usage Tracker", "publisher": "TokenDealHub", "source_type": "secondary", "published_at": null, "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Latest day, last full week, smoothing and methodology", "url": "https://www.tokendealhub.com/en/token-usage" }, { "id": "CUR-S09", "title": "Meta Reports Third Quarter 2026 Results", "publisher": "Meta via PRNewswire", "source_type": "primary", "published_at": "2026-10-21T16:01:00-04:00", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Financial highlights, litigation adjustment, CFO outlook", "url": "https://www.prnewswire.com/news-releases/meta-reports-third-quarter-2026-results-302915964.html" }, { "id": "CUR-S10", "title": "Tesla Q3 2026 Update", "publisher": "Tesla", "source_type": "primary", "published_at": "2026-10-21", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "PDF page4 financial summary; page3 narrative", "url": "https://assets-ir.tesla.com/tesla-contents/IR/TSLA-Q3-2026-Update.pdf" }, { "id": "CUR-S11", "title": "Tesla Q3 2026 Form 10-Q", "publisher": "Tesla / SEC", "source_type": "primary", "published_at": "2026-10-22", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Statements of operations; MD&A", "url": "https://www.sec.gov/Archives/edgar/data/1318605/000162828026066775/tsla-20260930.htm" }, { "id": "CUR-S12", "title": "Sam Altman: RSI, AI Consciousness, OpenAI’s New Hardware, Compute, and more!", "publisher": "Matthew Berman", "source_type": "primary", "published_at": "2026-10-21T08:30:24-07:00", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "YouTube captions13:23–13:29; personal-assistant chapter11:47", "url": "https://www.youtube.com/watch?v=3gXLmy7DK_4&t=803s" }, { "id": "CUR-S13", "title": "Introducing dots", "publisher": "OpenAI", "source_type": "primary", "published_at": "2026-09-29", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Get started with dots and Dots can work on their own", "url": "https://openai.com/index/introducing-dots/" }, { "id": "CUR-S14", "title": "Getting started with your dot", "publisher": "OpenAI", "source_type": "primary", "published_at": "2026-10-22", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Which plans include dots?", "url": "https://help.openai.com/en/articles/20001530-getting-started-with-your-dot" }, { "id": "CUR-S15", "title": "Introducing Claude Duet", "publisher": "Anthropic", "source_type": "primary", "published_at": "2026-10-21", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Opening; How Claude Duet works; Join research preview", "url": "https://claude.com/resources/articles/claude-duet" }, { "id": "CUR-S16", "title": "Grok Bot is now included with more plans", "publisher": "SpaceXAI", "source_type": "primary", "published_at": "2026-08-26", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Plan list and separate usage paragraph", "url": "https://x.ai/news/grok-bot-more-plans" }, { "id": "CUR-S17", "title": "Bringing the power of Personal Intelligence to more people", "publisher": "Google", "source_type": "primary", "published_at": "2026-03-17", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Article body availability paragraph", "url": "https://blog.google/products-and-platforms/products/search/personal-intelligence-expansion/" }, { "id": "CUR-S18", "title": "Announcing Fin Apex: The age of vertical models is here", "publisher": "Intercom / Eoghan McCabe", "source_type": "primary", "published_at": "2026-03-26", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "The news, core answering model paragraph", "url": "https://www.intercom.com/blog/announcing-fin-apex-the-age-of-vertical-models-is-here" }, { "id": "CUR-S19", "title": "AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burden", "publisher": "Xu et al.", "source_type": "primary", "published_at": "2026-01-28T12:11:30Z", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Abstract; version3", "url": "https://arxiv.org/abs/2510.10165v3" }, { "id": "CUR-S20", "title": "We are Changing our Developer Productivity Experiment Design", "publisher": "METR", "source_type": "primary", "published_at": "2026-02-24", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Opening findings and selection-effects discussion", "url": "https://metr.org/blog/2026-02-24-uplift-update/" }, { "id": "CUR-S21", "title": "Step3: Clinical Research", "publisher": "FDA", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Clinical trial phases and IND process", "url": "https://www.fda.gov/patients/drug-development-process/step-3-clinical-research" }, { "id": "CUR-S22", "title": "CoreWeave quarterly results", "publisher": "CoreWeave", "source_type": "primary", "published_at": "2026-08-11", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Q2 revenue-backlog definition", "url": "https://investors.coreweave.com/financials/quarterly-results/" }, { "id": "CUR-S23", "title": "Economic Indicators, September2026", "publisher": "Council of Economic Advisers / Joint Economic Committee / GPO; underlying BEA", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23T14:11:49.499161+00:00", "locator": "PDFpage3, printedpage1, Gross Domestic Product table,2025 row", "url": "https://www.govinfo.gov/content/pkg/ECONI-2026-09/pdf/ECONI-2026-09.pdf" }, { "id": "CUR-S24", "title": "OpenRouter Data API documentation", "publisher": "OpenRouter", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23T14:53:15.359384+00:00", "locator": "Rankings Daily; response notes; acceptable use and attribution", "url": "https://openrouter.ai/docs/cookbook/administration/data-api" }, { "id": "CUR-S25", "title": "OpenAI Expects $70 Billion in Annualized Revenue by End of 2026", "publisher": "Bloomberg", "authors": [ "Rebecca Torrence", "Shirin Ghaffary" ], "source_type": "secondary", "published_at": "2026-10-09T10:43:00+09:00", "accessed_at": "2026-10-24T00:51:52.559069+09:00", "updated_at": "2026-10-09T19:03:00+09:00", "locator": "Headline, byline, publication/update timestamps and visible opening excerpt", "url": "https://www.bloomberg.com/news/articles/2026-10-09/openai-expects-70-billion-in-annualized-revenue-by-end-of-2026" } ] }, "customer_pnl": { "schema_version": "customer-pnl-upgrade-v1", "cutoff": "2026-09-27", "capture_date": "2026-10-23", "scope": "Two bounded claim-verification case studies using original official records; no full eight-quarter or population acceptance; original orangebook_evidence.json unchanged.", "cases": [ { "actual_ai_profit": null, "earnings_confounders": "$42.354m lower pretax Europe disposal expenses explains33.66% of consolidated OI increase arithmetically. NAST rate/mix and transaction gross profit, other cost optimization, incentive pay, scope changes remain.", "headline": "The productivity story persists; the payroll story is more complicated.", "implementation_costs": "2025 restructuring charge$30.405m, including$27.099m severance; cash payments$24.564m. Program bundles AI, automation and facilities. These charges are already in reported operating income. Company-wide purchased/developed software cash outflow$50.915m is not an AI allocation.", "measured_output": "FY2025 NAST truckload volume+0.5%, LTL+1.5%, average NAST headcount5158vs5696. Q22026 NAST volume+1.5%, NAST average headcount4671vs5283; global management productivity claim >60% since end2022 is broader Lean AI, not independently causal.", "missing_evidence": [ "Same-scope shipment/quote-to-load conversion and contribution after errors/rework", "Cash wages/benefits and avoided hires attributable to AI, separated from divestiture/Lean operations", "AI-specific cloud/model/software depreciation and internal review/integration cost", "Contract/provider invoice routing and net price" ], "paid_workforce": "FY2025 personnel expense fell$86.091m consolidated and$25.632m NAST. Q22026 consolidated average headcount fell10.8% but personnel expense rose$3.150m, primarily incentive pay.", "periods": "FY2025 vsFY2024 and Q22026 vsQ22025; selected original records only", "profit_status": "UNKNOWN: no isolated counterfactual or full AI cost allocation", "role": "AI adopter / logistics intermediary", "source_ids": [ "CHRW-K25", "CHRW-Q226" ], "thesis_change": "Stronger evidence of productive deployment and realized personnel-cost improvement than the initial digest-only account; no support for treating all earnings growth as AI or all headcount cuts as cash savings.", "ticker": "CHRW", "who_captures": "CHRW may retain part of reduced cost-to-serve through operating margin or spend it on service/market share/incentives. Customer/carrier price incidence and external-model invoices are not disclosed." }, { "actual_ai_profit": null, "earnings_confounders": "Q4 margin drivers include NextGen savings, utilization and rupee. FY2025 growth included260bp Belcan. H1 GAAP OI+47m vs adjusted+112m; current$84m charges/$81m obligation reversal and prior$62m property gain reconcile differences.", "headline": "Contract structure can preserve productivity gains, while transition costs and other drivers obscure AI profit.", "implementation_costs": "Project Leap expected$230m–$320m total costs; Q2/H1 recognized$84m, including$56m employee separation; paid$28m of separation costs. Program intends to fund AI capabilities/upskilling, not a realized net-saving claim.", "measured_output": "Official call confirms >30% of development effort AI-assisted, >4000AI engagements, and5% revenue/8% adjusted-OI per employee gains on trailing12month basis. Not a randomized output measure.", "missing_evidence": [ "Contract-level before/after accepted output, hours, realized bill and renewal price", "AI model/serving/review/error costs and capitalized development amortization by project", "Cash savings versus redeployment and reinvestment, excluding acquisition/FX/utilization effects", "Customer independently reported realized P&L and external-provider invoices" ], "paid_workforce": "End-Q22026 employees356700vs343800; no company-wide payroll reduction inferred. FY2025 call says merit increases and high bonuses; H12026 CFO affected by higher incentive payments.", "periods": "Official Q42025 call and Q22026/H12026 10-Q, with stated comparable periods; no complete eight-quarter dossier", "profit_status": "UNKNOWN: mixed company metrics and absent AI cost/customer-cash attribution", "role": "AI adopter / services supplier", "source_ids": [ "CTSH-T425", "CTSH-Q226" ], "thesis_change": "Commercial contract migration supports a credible path to retained application/services profit; it also shows why rising productivity is neither a headcount-collapse measure nor a clean external-model-demand measure.", "ticker": "CTSH", "who_captures": "Fixed-price plus transaction/volume revenue increased from55.37% to57.95% of Q2 revenue. Supplier may retain cost reductions within contracted deliverables; competition/renegotiation and outcomes determine customer share. Time-and-materials can pass labor-hour gains through." } ], "calculations": [ { "formula": "794.961 - 669.141", "id": "CHRW-annual-oi", "meaning": "FY2025 consolidated operating income improvement; not AI attribution", "source_ids": [ "CHRW-K25" ], "unit": "USD millions", "value": "125.820" }, { "formula": "1456.249 - 1370.158", "id": "CHRW-annual-personnel", "meaning": "Reported personnel-expense reduction; includes divestiture, compensation mix and productivity", "source_ids": [ "CHRW-K25" ], "unit": "USD millions", "value": "86.091" }, { "formula": "639.624 - 564.291", "id": "CHRW-annual-sga", "meaning": "Reported SG&A reduction; includes disposal and restructuring effects", "source_ids": [ "CHRW-K25" ], "unit": "USD millions", "value": "75.333" }, { "formula": "2729.410 - 2765.014", "id": "CHRW-annual-agp", "meaning": "Revenue less purchased transport/products, matching adjusted gross profit; declined", "source_ids": [ "CHRW-K25" ], "unit": "USD millions", "value": "-35.604" }, { "formula": "-35.604 + 86.091 + 75.333", "id": "CHRW-annual-bridge", "meaning": "Exact operating-income bridge; does not attribute any residual to AI", "source_ids": [ "CHRW-K25" ], "unit": "USD millions", "value": "125.820" }, { "formula": "44.462 - (1.194 + 0.914)", "id": "CHRW-divestiture", "meaning": "Decline in pretax Europe disposal-related expenses; embedded within personnel/SG&A", "source_ids": [ "CHRW-K25" ], "unit": "USD millions", "value": "42.354" }, { "formula": "42.354 / 125.820 * 100", "id": "CHRW-divestiture-share", "meaning": "One named confounder share of total OI improvement; not a causal partition of all remaining profit", "source_ids": [ "CHRW-K25" ], "unit": "percent", "value": "33.66237482117310443490701001" }, { "formula": "669.611 - 643.979", "id": "CHRW-NAST-personnel", "meaning": "NAST personnel expense decline; scope narrower than consolidated business", "source_ids": [ "CHRW-K25" ], "unit": "USD millions", "value": "25.632" }, { "formula": "(1706.329 - 1641.195) + (669.611 - 643.979) - (440.514 - 440.292)", "id": "CHRW-NAST-bridge", "meaning": "NAST OI growth90.544; rate/mix, volumes, staffing and allocated technology costs still not AI-specific", "source_ids": [ "CHRW-K25" ], "unit": "USD millions", "value": "90.544" }, { "formula": "(11471 / 12858 - 1) * 100", "id": "CHRW-q2-headcount", "meaning": "Quarter-average employee headcount decline; not end-quarter count", "source_ids": [ "CHRW-Q226" ], "unit": "percent", "value": "-10.78705864053507543941515010" }, { "formula": "338.472 - 335.322", "id": "CHRW-q2-personnel", "meaning": "Personnel expense increased despite lower headcount", "source_ids": [ "CHRW-Q226" ], "unit": "USD millions", "value": "3.150" }, { "formula": "255.743 - 215.919", "id": "CHRW-q2-oi", "meaning": "Consolidated Q2 operating income increase", "source_ids": [ "CHRW-Q226" ], "unit": "USD millions", "value": "39.824" }, { "formula": "(2690 + 486) / 5481 * 100", "id": "CTSH-q2-nontm-2026", "meaning": "Fixed-price plus transaction/volume-based share, Q22026; fixed revenue is not guaranteed retained margin", "source_ids": [ "CTSH-Q226" ], "unit": "percent", "value": "57.94563035942346287173873381" }, { "formula": "(2413 + 491) / 5245 * 100", "id": "CTSH-q2-nontm-2025", "meaning": "Comparable contract share Q22025", "source_ids": [ "CTSH-Q226" ], "unit": "percent", "value": "55.36701620591039084842707340" }, { "formula": "1717 - 1670", "id": "CTSH-h1-gaap-growth", "meaning": "H1 GAAP operating income change", "source_ids": [ "CTSH-Q226" ], "unit": "USD millions", "value": "47" }, { "formula": "1720 - 1608", "id": "CTSH-h1-adjusted-growth", "meaning": "H1 adjusted operating income change; not net AI profit", "source_ids": [ "CTSH-Q226" ], "unit": "USD millions", "value": "112" }, { "formula": "1717 + 84 - 81", "id": "CTSH-reconciliation-current", "meaning": "Current adjusted OI adds Project Leap charges and removes obligation-reversal benefit", "source_ids": [ "CTSH-Q226" ], "unit": "USD millions", "value": "1720" }, { "formula": "1670 - 62", "id": "CTSH-reconciliation-prior", "meaning": "Prior adjusted OI removes property-sale gain", "source_ids": [ "CTSH-Q226" ], "unit": "USD millions", "value": "1608" }, { "formula": "(356700 / 343800 - 1) * 100", "id": "CTSH-headcount", "meaning": "End-quarter worldwide headcount increased; acquisition/perimeter differences remain", "source_ids": [ "CTSH-Q226" ], "unit": "percent", "value": "3.752181500872600349040139600" }, { "formula": "832 - 798", "id": "CTSH-cfo", "meaning": "H1 CFO increase attributed mainly to lower cash taxes, partly offset by incentive pay", "source_ids": [ "CTSH-Q226" ], "unit": "USD millions", "value": "34" } ], "exact_short_excerpts": [ { "locator": "p3 personnel-expense narrative; parsed text lines94–97", "quote": "higher incentive compensation reflecting our strong operating performance", "source_id": "CHRW-Q226" }, { "locator": "p3; parsed text lines101–103", "quote": "fixed-bid and transaction-based work now represent more than 50% of our revenue", "source_id": "CTSH-T425" } ], "sources": [ { "id": "CHRW-K25", "period": "FY2025 and FY2024", "available_at": "2026-02-13", "accessed_at": "2026-10-23T14:41:58.207853+00:00", "locator": "Form10-K: MD&A consolidated/NAST results pp28–31; cash flows; Note14 Restructuring pp68–70; Note15 Divestitures pp70–71", "url": "https://www.sec.gov/Archives/edgar/data/1043277/000104327726000009/chrw-20251231.htm" }, { "id": "CHRW-Q226", "period": "Q22026 and Q22025; H12026 and H12025", "available_at": "2026-07-29", "accessed_at": "2026-10-23T14:41:58.227496+00:00", "locator": "Release pp1–5 narrative; p15 income statement; p16 segment/headcount tables", "url": "https://s25.q4cdn.com/568306620/files/doc_financials/2026/q2/Q2-2026-Earnings-Release.pdf" }, { "id": "CTSH-T425", "period": "Q42025/FY2025", "available_at": "2026-02-04", "accessed_at": "2026-10-23T14:41:58.391775+00:00", "locator": "Official-hosted corrected call transcript: pp3–4 productivity, p7 Belcan growth, p8 margin drivers, p9 cash flow", "url": "https://cognizant.q4cdn.com/123993165/files/doc_earnings/2025/q4/transcript/Transcript_CTSHQ4-2025-Earnings-Call.pdf" }, { "id": "CTSH-Q226", "period": "Q22026/Q22025; H12026/H12025", "available_at": "2026-07-29", "accessed_at": "2026-10-23T14:41:58.403496+00:00", "locator": "Note2 contract-type revenue pp11–12; Note4 Project Leap p14; MD&A employees p27; operating measures and reconciliation pp35–40; cash flow p41", "url": "https://www.sec.gov/Archives/edgar/data/1058290/000105829026000031/ctsh-20260630.htm" } ] }, "openrouter": { "schema_version": 1, "as_of": "2026-10-23", "captured_at": "2026-10-23T14:49:18.404420+00:00", "status": "VERIFIED primary visible rounded chart observations; twelve completed weeks", "source_url": "https://openrouter.ai/rankings", "source_type": "primary visible chart", "attribution": "Source: OpenRouter (openrouter.ai/rankings), observed2026-10-23; page usage through2026-10-22. Licensed under CC BY4.0.", "scope": { "label": "OpenRouter public text-token telemetry", "all_models_within_published_scope": true, "grouping": "Nine named most-used models plus Others each week; model membership changes.", "excludes": "Private user/app traffic, private models/endpoints and zero-data-retention traffic; not all platform or global AI demand.", "token_types": "Published count is prompt+completion tokens using upstream native tokenizers; not normalized compute.", "paid_free": "Free model variants included and separately named; no complete paid/free series because Others aggregates variants.", "cache": "Usage schema places cached tokens in prompt-token details. Chart has no cache breakdown; current cached share of this twelve-week series is unknown.", "period": "Monday labels and seven-day spacing; ends reconstructed as following Sunday. Daily buckets documented UTC; weekly boundary timezone inferred from those daily buckets, not separately stated by tooltip.", "unfinished_week_excluded": "2026-10-19 through2026-10-25", "precision": "Displayed compact totals, not exact export. Treat derived percentages as approximate; do not substitute third-party extra digits." }, "four_week_blocks": [ { "start": "2026-07-27", "end": "2026-08-23", "total_trillion_tokens_approx": 294.5, "weekly_mean_trillion_tokens_approx": 73.625, "growth_from_previous_block_pct_approx": null }, { "start": "2026-08-24", "end": "2026-09-20", "total_trillion_tokens_approx": 484.0, "weekly_mean_trillion_tokens_approx": 121.0, "growth_from_previous_block_pct_approx": 64.34634974533107 }, { "start": "2026-09-21", "end": "2026-10-18", "total_trillion_tokens_approx": 648.0, "weekly_mean_trillion_tokens_approx": 162.0, "growth_from_previous_block_pct_approx": 33.88429752066116 } ], "summary": { "latest_week_start": "2026-10-12", "latest_total_trillion": 164.0, "latest_wow_pct_approx": -4.651162790697672, "latest_four_week_endpoint_growth_pct_approx": 27.13178294573644, "peak_in_observed_window_start": "2026-10-05", "peak_total_trillion": 172.0, "latest_vs_observed_peak_pct_approx": -4.651162790697672, "latest_vs_first_week_pct_approx": 188.73239436619718, "conclusion": "Observed public-token growth decelerated and latest completed week declined; latest four-week total still grew strongly. Persistent contraction and market-wide demand decline are not established." }, "formulas": { "wow": "100*(W[t]/W[t-1]-1)", "four_week_endpoint": "100*(W[t]/W[t-4]-1)", "four_week_block": "100*(sum(current4)/sum(previous4)-1)", "peak": "100*(latest/max(observed_complete_weeks)-1)" }, "documented_export": { "url": "https://openrouter.ai/api/v1/datasets/rankings-daily?start_date=2026-07-27&end_date=2026-10-18", "docs": "https://openrouter.ai/docs/cookbook/administration/data-api", "status": "Not invoked: requires valid existing API key; none configured in process environment. No secret files read, no new key or paid route.", "shape": "Top50 public models plus other each day; integer token strings; inclusive UTC dates; retain response meta.as_of if obtained." }, "method_sources": [ { "url": "https://openrouter.ai/rankings", "sections": "How these rankings are measured; Top Models" }, { "url": "https://openrouter.ai/docs/cookbook/administration/data-api", "sections": "Rankings Daily; acceptable use and attribution" }, { "url": "https://openrouter.ai/docs/cookbook/administration/usage-accounting", "sections": "Usage Information; Response Format" } ], "rows": [ { "complete": true, "component_rounding_difference_trillion": 0.010000000000005116, "component_sum_trillion_approx": 56.81, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 24.3, "display_tokens": "24.3T" }, { "model_display_name": "DeepSeek V4 Flash 0423", "tokens_trillion_rounded": 7.22, "display_tokens": "7.22T" }, { "model_display_name": "MiMo-V2.5", "tokens_trillion_rounded": 6.3, "display_tokens": "6.3T" }, { "model_display_name": "Hy3", "tokens_trillion_rounded": 4.82, "display_tokens": "4.82T" }, { "model_display_name": "DeepSeek V4 Pro 0423", "tokens_trillion_rounded": 3.28, "display_tokens": "3.28T" }, { "model_display_name": "GLM 5.2", "tokens_trillion_rounded": 2.89, "display_tokens": "2.89T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 2.43, "display_tokens": "2.43T" }, { "model_display_name": "MiniMax M3", "tokens_trillion_rounded": 1.96, "display_tokens": "1.96T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 1.95, "display_tokens": "1.95T" }, { "model_display_name": "Step 3.7 Flash", "tokens_trillion_rounded": 1.66, "display_tokens": "1.66T" } ], "display_total": "56.8T", "display_unit_last_digit_trillion": 0.1, "four_week_endpoint_growth_pct_approx": null, "total_trillion_tokens": 56.8, "week_end": "2026-08-02", "week_start": "2026-07-27", "wow_pct_approx": null }, { "complete": true, "component_rounding_difference_trillion": 0.01999999999999602, "component_sum_trillion_approx": 69.02, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 25.6, "display_tokens": "25.6T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 8.83, "display_tokens": "8.83T" }, { "model_display_name": "Hy3", "tokens_trillion_rounded": 8.05, "display_tokens": "8.05T" }, { "model_display_name": "DeepSeek V4 Flash 0423", "tokens_trillion_rounded": 5.88, "display_tokens": "5.88T" }, { "model_display_name": "MiMo-V2.5", "tokens_trillion_rounded": 5.39, "display_tokens": "5.39T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 4.43, "display_tokens": "4.43T" }, { "model_display_name": "GLM 5.2", "tokens_trillion_rounded": 3.49, "display_tokens": "3.49T" }, { "model_display_name": "DeepSeek V4 Pro 0423", "tokens_trillion_rounded": 2.61, "display_tokens": "2.61T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 2.41, "display_tokens": "2.41T" }, { "model_display_name": "Gemini 3.6 Flash", "tokens_trillion_rounded": 2.33, "display_tokens": "2.33T" } ], "display_total": "69T", "display_unit_last_digit_trillion": 1, "four_week_endpoint_growth_pct_approx": null, "total_trillion_tokens": 69.0, "week_end": "2026-08-09", "week_start": "2026-08-03", "wow_pct_approx": 21.478873239436624 }, { "complete": true, "component_rounding_difference_trillion": 0.10000000000000853, "component_sum_trillion_approx": 75.4, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 28.3, "display_tokens": "28.3T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 11.2, "display_tokens": "11.2T" }, { "model_display_name": "Hy3", "tokens_trillion_rounded": 9.95, "display_tokens": "9.95T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 5.31, "display_tokens": "5.31T" }, { "model_display_name": "DeepSeek V4 Flash 0423", "tokens_trillion_rounded": 4.83, "display_tokens": "4.83T" }, { "model_display_name": "GLM 5.2", "tokens_trillion_rounded": 4.33, "display_tokens": "4.33T" }, { "model_display_name": "MiMo-V2.5", "tokens_trillion_rounded": 3.79, "display_tokens": "3.79T" }, { "model_display_name": "DeepSeek V4 Pro 0423", "tokens_trillion_rounded": 2.74, "display_tokens": "2.74T" }, { "model_display_name": "Claude Opus 5", "tokens_trillion_rounded": 2.67, "display_tokens": "2.67T" }, { "model_display_name": "Gemini 3.6 Flash", "tokens_trillion_rounded": 2.28, "display_tokens": "2.28T" } ], "display_total": "75.3T", "display_unit_last_digit_trillion": 0.1, "four_week_endpoint_growth_pct_approx": null, "total_trillion_tokens": 75.3, "week_end": "2026-08-16", "week_start": "2026-08-10", "wow_pct_approx": 9.130434782608688 }, { "complete": true, "component_rounding_difference_trillion": 0.03999999999999204, "component_sum_trillion_approx": 93.44, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 31.7, "display_tokens": "31.7T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 11.6, "display_tokens": "11.6T" }, { "model_display_name": "Ox Alpha", "tokens_trillion_rounded": 11.6, "display_tokens": "11.6T" }, { "model_display_name": "MiMo-V2.5", "tokens_trillion_rounded": 9.94, "display_tokens": "9.94T" }, { "model_display_name": "Hy3", "tokens_trillion_rounded": 8.21, "display_tokens": "8.21T" }, { "model_display_name": "DeepSeek V4 Flash 0423", "tokens_trillion_rounded": 5.46, "display_tokens": "5.46T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 4.91, "display_tokens": "4.91T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 4.75, "display_tokens": "4.75T" }, { "model_display_name": "GLM 5.2", "tokens_trillion_rounded": 3.42, "display_tokens": "3.42T" }, { "model_display_name": "DeepSeek V4 Pro 0423", "tokens_trillion_rounded": 1.85, "display_tokens": "1.85T" } ], "display_total": "93.4T", "display_unit_last_digit_trillion": 0.1, "four_week_endpoint_growth_pct_approx": null, "total_trillion_tokens": 93.4, "week_end": "2026-08-23", "week_start": "2026-08-17", "wow_pct_approx": 24.037184594953544 }, { "complete": true, "component_rounding_difference_trillion": 0.030000000000001137, "component_sum_trillion_approx": 113.03, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 40.8, "display_tokens": "40.8T" }, { "model_display_name": "Ox Alpha", "tokens_trillion_rounded": 15.7, "display_tokens": "15.7T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 12.3, "display_tokens": "12.3T" }, { "model_display_name": "MiMo-V2.5", "tokens_trillion_rounded": 9.14, "display_tokens": "9.14T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 7.79, "display_tokens": "7.79T" }, { "model_display_name": "Hy3", "tokens_trillion_rounded": 6.66, "display_tokens": "6.66T" }, { "model_display_name": "GLM 5.3 Flash", "tokens_trillion_rounded": 6.16, "display_tokens": "6.16T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 5.33, "display_tokens": "5.33T" }, { "model_display_name": "DeepSeek V4 Flash 0423", "tokens_trillion_rounded": 5.2, "display_tokens": "5.2T" }, { "model_display_name": "Gemini 3.7 Flash", "tokens_trillion_rounded": 3.95, "display_tokens": "3.95T" } ], "display_total": "113T", "display_unit_last_digit_trillion": 1, "four_week_endpoint_growth_pct_approx": 98.943661971831, "total_trillion_tokens": 113.0, "week_end": "2026-08-30", "week_start": "2026-08-24", "wow_pct_approx": 20.985010706638118 }, { "complete": true, "component_rounding_difference_trillion": 0.46000000000000796, "component_sum_trillion_approx": 115.46000000000001, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 42.2, "display_tokens": "42.2T" }, { "model_display_name": "Hy4 preview", "tokens_trillion_rounded": 14.7, "display_tokens": "14.7T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 12.9, "display_tokens": "12.9T" }, { "model_display_name": "GLM 5.3 Flash", "tokens_trillion_rounded": 12.4, "display_tokens": "12.4T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 12.4, "display_tokens": "12.4T" }, { "model_display_name": "DeepSeek V4 Flash 0423", "tokens_trillion_rounded": 5.19, "display_tokens": "5.19T" }, { "model_display_name": "MiniMax M3 (free)", "tokens_trillion_rounded": 5.02, "display_tokens": "5.02T" }, { "model_display_name": "Hy3", "tokens_trillion_rounded": 3.99, "display_tokens": "3.99T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 3.64, "display_tokens": "3.64T" }, { "model_display_name": "GLM 5.3", "tokens_trillion_rounded": 3.02, "display_tokens": "3.02T" } ], "display_total": "115T", "display_unit_last_digit_trillion": 1, "four_week_endpoint_growth_pct_approx": 66.66666666666667, "total_trillion_tokens": 115.0, "week_end": "2026-09-06", "week_start": "2026-08-31", "wow_pct_approx": 1.7699115044247815 }, { "complete": true, "component_rounding_difference_trillion": -0.1700000000000017, "component_sum_trillion_approx": 126.83, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 43.9, "display_tokens": "43.9T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 18.2, "display_tokens": "18.2T" }, { "model_display_name": "Hy4 preview", "tokens_trillion_rounded": 16.8, "display_tokens": "16.8T" }, { "model_display_name": "GLM 5.3 Flash", "tokens_trillion_rounded": 11.9, "display_tokens": "11.9T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 11.6, "display_tokens": "11.6T" }, { "model_display_name": "MiMo-V2.5", "tokens_trillion_rounded": 7.77, "display_tokens": "7.77T" }, { "model_display_name": "DeepSeek V4.1 Flash", "tokens_trillion_rounded": 4.94, "display_tokens": "4.94T" }, { "model_display_name": "DeepSeek V4 Flash 0423", "tokens_trillion_rounded": 4.36, "display_tokens": "4.36T" }, { "model_display_name": "Hy3", "tokens_trillion_rounded": 3.8, "display_tokens": "3.8T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 3.56, "display_tokens": "3.56T" } ], "display_total": "127T", "display_unit_last_digit_trillion": 1, "four_week_endpoint_growth_pct_approx": 68.65869853917663, "total_trillion_tokens": 127.0, "week_end": "2026-09-13", "week_start": "2026-09-07", "wow_pct_approx": 10.43478260869566 }, { "complete": true, "component_rounding_difference_trillion": -0.030000000000001137, "component_sum_trillion_approx": 128.97, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 47.3, "display_tokens": "47.3T" }, { "model_display_name": "DeepSeek V4.1 Flash", "tokens_trillion_rounded": 15.8, "display_tokens": "15.8T" }, { "model_display_name": "GLM 5.3 Flash", "tokens_trillion_rounded": 14.1, "display_tokens": "14.1T" }, { "model_display_name": "Hy4 preview", "tokens_trillion_rounded": 12.5, "display_tokens": "12.5T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 9.72, "display_tokens": "9.72T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 9.44, "display_tokens": "9.44T" }, { "model_display_name": "MiMo-V2.5", "tokens_trillion_rounded": 7.07, "display_tokens": "7.07T" }, { "model_display_name": "Hy3", "tokens_trillion_rounded": 4.78, "display_tokens": "4.78T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 4.49, "display_tokens": "4.49T" }, { "model_display_name": "DeepSeek V4 Flash 0423", "tokens_trillion_rounded": 3.77, "display_tokens": "3.77T" } ], "display_total": "129T", "display_unit_last_digit_trillion": 1, "four_week_endpoint_growth_pct_approx": 38.11563169164882, "total_trillion_tokens": 129.0, "week_end": "2026-09-20", "week_start": "2026-09-14", "wow_pct_approx": 1.5748031496062964 }, { "complete": true, "component_rounding_difference_trillion": -0.07999999999998408, "component_sum_trillion_approx": 145.92000000000002, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 55.6, "display_tokens": "55.6T" }, { "model_display_name": "DeepSeek V4.1 Flash", "tokens_trillion_rounded": 19.6, "display_tokens": "19.6T" }, { "model_display_name": "GLM 5.3 Flash", "tokens_trillion_rounded": 16.3, "display_tokens": "16.3T" }, { "model_display_name": "Space Bunny Alpha", "tokens_trillion_rounded": 13.9, "display_tokens": "13.9T" }, { "model_display_name": "Hy4 preview", "tokens_trillion_rounded": 9.64, "display_tokens": "9.64T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 8.53, "display_tokens": "8.53T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 7.82, "display_tokens": "7.82T" }, { "model_display_name": "Nemotron 3 Ultra 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"model_display_name": "GLM 5.3 Flash", "tokens_trillion_rounded": 9.73, "display_tokens": "9.73T" }, { "model_display_name": "MiMo-V2.6-Flash", "tokens_trillion_rounded": 9.63, "display_tokens": "9.63T" }, { "model_display_name": "Hy4 preview", "tokens_trillion_rounded": 6.51, "display_tokens": "6.51T" }, { "model_display_name": "GPT-6 Luna", "tokens_trillion_rounded": 6.18, "display_tokens": "6.18T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 5.99, "display_tokens": "5.99T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 5.65, "display_tokens": "5.65T" }, { "model_display_name": "GPT-5.6 Luna", "tokens_trillion_rounded": 4.37, "display_tokens": "4.37T" } ], "display_total": "166T", "display_unit_last_digit_trillion": 1, "four_week_endpoint_growth_pct_approx": 44.34782608695653, "total_trillion_tokens": 166.0, "week_end": "2026-10-04", "week_start": "2026-09-28", "wow_pct_approx": 13.698630136986312 }, { "complete": true, "component_rounding_difference_trillion": -0.09000000000000341, "component_sum_trillion_approx": 171.91, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 66.2, "display_tokens": "66.2T" }, { "model_display_name": "DeepSeek V4.1 Flash", "tokens_trillion_rounded": 41.0, "display_tokens": "41T" }, { "model_display_name": "GLM 5.3 Flash", "tokens_trillion_rounded": 12.2, "display_tokens": "12.2T" }, { "model_display_name": "MiMo-V2.6-Flash", "tokens_trillion_rounded": 11.5, "display_tokens": "11.5T" }, { "model_display_name": "Step 5 Preview", "tokens_trillion_rounded": 8.84, "display_tokens": "8.84T" }, { "model_display_name": "Hy4 preview", "tokens_trillion_rounded": 8.28, "display_tokens": "8.28T" }, { "model_display_name": "GPT-6 Luna", "tokens_trillion_rounded": 7.08, "display_tokens": "7.08T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 6.87, "display_tokens": "6.87T" }, { "model_display_name": "Claude Opus 5.5", "tokens_trillion_rounded": 5.02, "display_tokens": "5.02T" }, { "model_display_name": "DeepSeek V4 Flash 0731", "tokens_trillion_rounded": 4.92, "display_tokens": "4.92T" } ], "display_total": "172T", "display_unit_last_digit_trillion": 1, "four_week_endpoint_growth_pct_approx": 35.43307086614173, "total_trillion_tokens": 172.0, "week_end": "2026-10-11", "week_start": "2026-10-05", "wow_pct_approx": 3.6144578313253017 }, { "complete": true, "component_rounding_difference_trillion": 0.03999999999999204, "component_sum_trillion_approx": 164.04, "components": [ { "model_display_name": "Others", "tokens_trillion_rounded": 67.5, "display_tokens": "67.5T" }, { "model_display_name": "DeepSeek V4.1 Flash", "tokens_trillion_rounded": 32.8, "display_tokens": "32.8T" }, { "model_display_name": "GLM 5.3 Flash", "tokens_trillion_rounded": 12.2, "display_tokens": "12.2T" }, { "model_display_name": "Step 5 Preview", "tokens_trillion_rounded": 11.5, "display_tokens": "11.5T" }, { "model_display_name": "MiMo-V2.6-Flash", "tokens_trillion_rounded": 9.94, "display_tokens": "9.94T" }, { "model_display_name": "Hy4 preview", "tokens_trillion_rounded": 7.55, "display_tokens": "7.55T" }, { "model_display_name": "GPT-6 Luna", "tokens_trillion_rounded": 6.21, "display_tokens": "6.21T" }, { "model_display_name": "Claude Opus 5.5", "tokens_trillion_rounded": 6.18, "display_tokens": "6.18T" }, { "model_display_name": "GLM 5.3", "tokens_trillion_rounded": 5.19, "display_tokens": "5.19T" }, { "model_display_name": "Nemotron 3 Ultra (free)", "tokens_trillion_rounded": 4.97, "display_tokens": "4.97T" } ], "display_total": "164T", "display_unit_last_digit_trillion": 1, "four_week_endpoint_growth_pct_approx": 27.13178294573644, "total_trillion_tokens": 164.0, "week_end": "2026-10-18", "week_start": "2026-10-12", "wow_pct_approx": -4.651162790697672 } ] }, "rebuttal": { "schema_version": 1, "as_of": "2026-10-23", "historical_cutoff": "2026-09-27", "lead": "A serious capital-recovery risk does not establish a general shortage of useful AI work or a six-to-nine-month insolvency clock.", "best_case_against_user_conclusion": "Lower quality-adjusted costs, elastic paid workloads, useful supervised tasks and existing distribution may produce rising contribution and adequately funded deployment without whole-occupation replacement. Weak providers or inflated equity valuations can still fail.", "what_survives": "Useful AI and customer benefits do not ensure the chosen infrastructure owner captures enough cash before fixed obligations mature. Timing, capture and leverage remain the strongest surviving bear case.", "adjudication": "Sector-wide insufficiency, insolvency deadline and event probability remain unestablished. Test paid accepted work, complete contribution margins and borrower cash calendars.", "calculated_examples": { "volume_breakeven_after_35pct_cut": 1.5384615384615385, "revenue_after_price_cut_and_growth": 1.17, "contribution_before": 0.3, "contribution_after": 0.54, "contribution_growth": 0.8, "compute_after_efficiency_and_growth": 1.5, "funding_need_original_bn": 14.58, "funding_need_lower_capex_bn": 8.58, "openrouter_block_1_T": 294.5, "openrouter_block_2_T": 484, "openrouter_block_3_T": 648, "openrouter_block_2_growth_pct": 64.3463497453311, "openrouter_block_3_growth_pct": 33.88429752066116, "openrouter_latest_wow_pct": -4.651162790697672, "openrouter_latest_four_week_pct": 27.13178294573644 }, "probability_estimates": null, "study_boundaries": { "REB-S01": "Pooled effect among tool users (not unconditional access effect); task completion not company profit; older code-completion trials; no microdata replication", "REB-S02": "Staggered deployment, not randomized; one firm; GPT3 human-assistance workflow; issues/hour not net profit; rollout primarily fall2020 and winter2021" }, "limits": [ "No legal insolvency forecast or investment recommendation", "Secondary OpenAI report retains accounting-perimeter caveat; primary OpenRouter chart retains rounded/public-coverage caveats", "No reclassification of historical corpus acceptance", "New source pages inspected, study data not replicated", "Root owns integrated visual checks and closeout" ], "article": { "title": "The strongest counterargument: cheaper intelligence can create its own customers", "audience": "Reader evaluating demand-shock economics", "checked_at": "2026-10-23" }, "points": [ { "id": "REB-P01", "title": "A falling price can mean the technology is working", "mechanism": "Lower unit costs and usefulness can shift paid demand enough to offset lower prices; profit also depends on serving costs and capital recovery.", "body_markdown": "The capacity analogy describes an installed asset's exposure. It does not identify why its output became cheaper. A token-price decline can reflect competition, a cheaper model mix, caching, lower serving costs or better hardware. Price alone cannot distinguish excess capacity from technical progress. The historical Alphabet packet contains management's claim of lower AI response costs; it does not disclose a constant-quality fleet cost series. [GOOGL-call-q1](https://abc.xyz/investor/events/event-details/2026/2026-Q1-Earnings-Call-2026-nW8kCrBAKS/default.aspx)\n\nThe page correctly shows that a 35% price cut requires 53.8% more volume to preserve revenue. But paid volume is a response to price and usefulness, not necessarily an independent ceiling. In an **illustration**, price falls from $1 to $0.65, paid volume rises 80%, and revenue rises 17%. If serving cost per unit also falls from $0.70 to $0.35, aggregate contribution before fixed costs rises 80%. Capital recovery remains unproved; the inference from cheaper tokens to deteriorating operating economics fails without the cost side. [Arithmetic contract](../analysis/calculation-contract.md)\n\nConversely, efficiency need not reduce total compute: three times as many accepted tasks at half the compute per task requires 50% more compute. Longer reasoning and more agent attempts offer another possible volume response, provided somebody pays for useful outcomes. These are competing mechanisms to measure, not permission to extrapolate token charts indefinitely.", "quantitative_example_or_finding": "A35% price cut with80% paid-volume growth raises revenue17%; assumed unit serving costs0.70→0.35 raise contribution80%, excluding fixed/training/capital costs.", "decisive_observation": "Measure matched-quality cost per accepted task, net collected price, paid volume, serving contribution and hardware-cohort return together.", "limits": "Illustrative response, not estimated elasticity; new-chip cost gains can still impair old equipment.", "source_ids": [ "GOOGL-call-q1", "LOCAL-CALC" ], "story_points": [ 1, 4, 8 ] }, { "id": "REB-P02", "title": "The supposed demand break is not cleanly identified", "mechanism": "Same-basis revenue comparisons and public token growth must be separated from accounting changes, paid spending and hardware-specific contracts.", "body_markdown": "The **October layer** supports deceleration more clearly than a demand collapse. OpenAI reportedly reached $50 billion of annualized revenue against an earlier $70 billion presentation. That is a material headline gap, but the reporting attributes the discrepancy to partner-sales accounting. Until the periods and revenue perimeter are reconciled, this comparison cannot distinguish weaker customer demand from changed counting. [CUR-S04](https://www.axios.com/2026/10/08/openai-50-billion-arr-anthropic-revenue-accounting)\n\nSeparately, Bloomberg’s 9 October report, citing people familiar with the matter, puts OpenAI’s annualized revenue at roughly $50 billion at September-end and reports its expectation of reaching or exceeding $70 billion by year-end. That forward target is not yet a realized year-end miss and must remain distinct from the Axios accounting comparison. The article excerpt was retrieved; the underlying financial records were not. [CUR-S25, Bloomberg report](https://www.bloomberg.com/news/articles/2026-10-09/openai-expects-70-billion-in-annualized-revenue-by-end-of-2026)\n\nThe primary OpenRouter chart now supplies twelve completed weeks, 27 July–18 October. Its three successive four-week totals rise from **294.5 to 484 to 648 trillion tokens**: growth slows from approximately **64.3% to 33.9%**. The latest completed week falls **4.7%** to **164 trillion**, but remains **27.1% above four weeks earlier**. These rounded observations support slowing growth and a weekly dip, not persistent contraction. [OR-S01](https://openrouter.ai/rankings), [reconstructed series and method](../analysis/openrouter-method.md)\n\nThe denominator matters: this is public prompt-plus-completion telemetry, including the chart’s Others category and free variants. It excludes private and zero-data-retention traffic and supplies no complete paid/free or cache split. It therefore cannot establish a trend in paid dollars, compute demand or the whole AI market. [OR-S02, coverage documentation](https://openrouter.ai/docs/cookbook/administration/data-api)\n\nThere is also contrary **historical** supply evidence: CoreWeave said on 17 September that newly contracted capacity was commanding higher prices, including selected three-to-six-month contracts. This is management's report about its contracts, not a matched-hardware industry price index. Still, a thesis of generalized idle capacity must explain it rather than assume every provider faces the same market. [CRWV-P](https://investors.coreweave.com/news/news-details/2026/CoreWeave-Continues-to-Contract-New-Compute-Capacity-at-Higher-Prices/default.aspx)", "quantitative_example_or_finding": "Primary rounded twelve-week series:four-week totals294.5→484→648T; block growth≈64.3%then33.9%; latestweek164T≈4.7%below prior172T but27.1%above129T fourweeks earlier.", "decisive_observation": "Measure paid same-cohort OpenRouter and direct-channel revenue alongside public token volumes; reconcile OpenAI50B/70B accounting perimeter and period.", "limits": "OpenRouter excludes private/ZDR traffic and lacks complete paid/free/cache splits; rounded chart totals are not compute or revenue. OpenAI accounting explanation remains secondary; CoreWeave pricing is selected management evidence. Bloomberg original excerpt reports year-end≥70B target, distinct from the Axios accounting comparison; underlying financial records not obtained and future target not yet a realized year-end miss.", "source_ids": [ "CUR-S04", "OR-S01", "OR-S02", "CRWV-P", "CUR-S25" ], "story_points": [ 2, 3, 8 ] }, { "id": "REB-P03", "title": "Bundles and specialized models can be commercially rational", "mechanism": "Bundled usage can monetize through retention or other businesses; cheaper specialized serving can broaden profitable applications while reducing frontier share.", "body_markdown": "Zero incremental retail price is not zero revenue. The verified terms describe Dots in eligible paid plans, Duet in a Pro/Max preview with shared limits, and Grok Bot in paid-plan bundles. Google also has genuinely free-tier distribution. That combination does not identify marginal serving cost, total utilization or the revenue sacrificed by each extra request. [CUR-S14](https://help.openai.com/en/articles/20001530-getting-started-with-your-dot), [CUR-S15](https://claude.com/resources/articles/claude-duet), [CUR-S16](https://x.ai/news/grok-bot-more-plans), [CUR-S17](https://blog.google/products-and-platforms/products/search/personal-intelligence-expansion/)\n\nThe economic alternative is straightforward: included use may improve retention, attract customers or defend another revenue stream. Quotas can preserve scarce capacity for higher-paying users; latency and model tiers can separate products. These are plausible explanations, not findings that any particular subsidy earns a return. To reject them requires plan-level costs, conversion and retention, not the absence of a token meter.\n\nIntercom's reported move of approximately all English Fin core answering to its specialized Apex model is a real challenge to frontier-model share. It is not proof that total useful work or all datacenter spending falls. A cheaper acceptable answer can make additional customer workflows worth serving. The announcement establishes neither Apex's parameter count nor the economy-wide response. [CUR-S18](https://www.intercom.com/blog/announcing-fin-apex-the-age-of-vertical-models-is-here)", "quantitative_example_or_finding": "No numerical retention, conversion, parameter-size or elasticity estimate asserted.", "decisive_observation": "Compare plan contribution, conversion/retention, peak limits and incremental cost; track retained cloud/frontier bills alongside accepted jobs after routing changes.", "limits": "Economic possibilities do not establish subsidy returns or general capacity scarcity; specialized routing could reduce frontier revenue.", "source_ids": [ "CUR-S14", "CUR-S15", "CUR-S16", "CUR-S17", "CUR-S18" ], "story_points": [ 4, 5 ] }, { "id": "REB-P04", "title": "Useful software need not eliminate its supervisor", "mechanism": "Human-supervised assistance can create accepted output gains despite incomplete automation; maintenance and quality determine whether those gains survive.", "body_markdown": "There is positive production-work evidence alongside the maintenance burdens. Cui and coauthors studied randomized access to a code-completion assistant across Microsoft, Accenture and an anonymous Fortune 100 company: 4,867 developers in three experiments. Their pooled estimate is **26.08% more completed tasks among tool users**, with a **10.3-percentage-point standard error**. Individual experiments are noisy; vendor participation and the older product matter. This is not a 26% profit increase, a universal effect of access, or a current autonomous-agent benchmark. [REB-S01, Management Science](https://pubsonline.informs.org/doi/10.1287/mnsc.2025.00535)\n\nBrynjolfsson, Li and Raymond studied a staggered GPT-3-based assistant rollout, primarily in fall 2020 and winter 2021, involving **5,172 customer-support agents** at one business-software company. Issues resolved per hour rose **15% on average**. Less experienced workers benefited most; the most skilled showed small quality declines. Humans remained responsible for conversations. This is useful work outside programming, measured in resolved issues rather than generated text. It is not a randomized trial or a complete cost-and-profit reconciliation. [REB-S02, Quarterly Journal of Economics](https://doi.org/10.1093/qje/qjae044)\n\nThe negative coding evidence still matters. Review, maintenance and escaped defects can erase generation gains; METR itself cautions against treating its later estimates as reliable current effects. The fair conclusion is heterogeneous task economics. Supervision belongs in the cost calculation; its existence does not establish a loss. Test accepted delivery and subsequent maintenance across comparable teams. [CUR-S19](https://arxiv.org/abs/2510.10165v3), [CUR-S20](https://metr.org/blog/2026-02-24-uplift-update/)", "quantitative_example_or_finding": "4867 enterprise developers: pooled26.08% completed-task estimate(SE10.3pp);5172 support agents:15% issues/hour. Separate studies, populations and designs.", "decisive_observation": "Measure accepted production delivery, review/rework, subsequent incidents and total cost for comparable workflows and teams.", "limits": "Older completion/GPT3 tools, heterogeneous effects, vendor participation, one-firm support study not randomized; neither proves net profit or current autonomous-agent effect.", "source_ids": [ "REB-S01", "REB-S02", "CUR-S19", "CUR-S20" ], "story_points": [ 7, 9 ] }, { "id": "REB-P05", "title": "Missing attribution is not missing value", "mechanism": "Avoided hiring, extra profitable output, fewer errors and consumer gains may occur without layoffs or a separately labeled AI-profit line.", "body_markdown": "The Orange Book selection cannot estimate an economy-wide zero. Its fifteen cases are selected illustrations; its broader acceptance counts measure research status. Undisclosed incremental AI profit remains unknown. The same historical packet records more than 30 million paid M365 Copilot seats and concrete, although incomplete, advertiser outcomes. Paid adoption is evidence of willingness to pay; it is not proof that every purchase was wise. [Historical scope](../analysis/research-notes.md), [MSFT-T4](https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/TranscriptFY26Q4.docx), [META-T2](https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf)\n\nAn employer can realize value through avoided hiring, additional profitable output, fewer errors or better service without announcing layoffs or an “AI profit” line. Competition may transfer gains to customers through price or quality. Conversely, unused saved capacity is not cash. The strongest test is a credible comparison of output, total costs and realized margins, not whether management separately labels the cause.\n\nLikewise, a 10–20% larger real economy need not produce an equal percentage increase in nominal supplier revenue or corporate profit. Output, prices, value added and consumer surplus differ. The page's roughly $3.1–6.2 trillion comparison is a scale illustration using annual nominal GDP, not an observed AI contribution or a bill frontier labs must collect. None of this establishes that such growth will occur. [Calculation contract](../analysis/calculation-contract.md), [CUR-S23](https://www.govinfo.gov/content/pkg/ECONI-2026-09/pdf/ECONI-2026-09.pdf)", "quantitative_example_or_finding": "Historical packet:more than30million paid M365 Copilot seats; macro3.1–6.2trillion is a scale illustration, not realized AI value.", "decisive_observation": "Track counterfactual customer output/cost/margins and independent cash payments; measure economy-wide value added separately from supplier sales.", "limits": "Paid adoption may be unwise; undisclosed AI profit stays unknown; selected cases cannot identify population prevalence or macro impact.", "source_ids": [ "LOCAL-SCOPE", "MSFT-T4", "META-T2", "LOCAL-CALC", "CUR-S23" ], "story_points": [ 7, 10 ] }, { "id": "REB-P06", "title": "A physical bottleneck can shift demand rather than extinguish it", "mechanism": "Better designs or prioritization could raise the number/value of experiments within research budgets; providers can be paid before approved-product sales.", "body_markdown": "Biotech cannot turn a promising design directly into an approved therapy. FDA's sequence of experiments, clinical trials and review supports the lag. But the opposing mechanism is also coherent: cheaper designs or better prioritization can increase the number or quality of experiments worth buying. Research budgets can pay software providers before a drug sells; the ultimate return remains contingent on scientific and commercial success. [CUR-S21](https://www.fda.gov/patients/drug-development-process/step-3-clinical-research)\n\nThis is a conditional argument, not evidence that biotech will absorb the planned fleet. Its decisive quantities are experimental throughput, validated hit rates, research budgets and retained compute spend. “Brains without legs” identifies a complementary-input constraint. It does not measure the resulting demand curve.", "quantitative_example_or_finding": "No numeric biotech demand or cash-generation estimate asserted.", "decisive_observation": "Observe experimental throughput, validated hit rates, R&D budgets, paid compute and cash availability; do not infer a fleet-sized market from designs alone.", "limits": "Mechanism only; FDA establishes clinical-validation lag, not increased AI demand. Ultimate return and scale remain unproved.", "source_ids": [ "CUR-S21", "LOCAL-CALC" ], "story_points": [ 6 ] }, { "id": "REB-P07", "title": "A financing mismatch is borrower-specific", "mechanism": "Contracts may shift utilization risk; prepayments advance cash; actual capex discretion and maturity timing determine financing pressure by borrower.", "body_markdown": "The best challenge to a short insolvency deadline is the missing cash calendar. CoreWeave reported 98% of Q2 revenue from committed contracts; Oracle disclosed $11.363 billion of identified customer prepayments in its August quarter. Contracts can shift utilization risk, and advances can fund delivery. Neither is a guarantee: credit, delivery conditions and the eventual independent payer still matter. [CRWV-Q](https://www.sec.gov/Archives/edgar/data/1769628/000176962826000366/crwv-20260630.htm), [ORCL-q1-filing](https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm)\n\nThe scenario's $14.58 billion annual funding need becomes $8.58 billion if cash capex falls from $18 billion to $12 billion with other inputs unchanged. That is arithmetic, **not evidence that those payments are deferrable**. Actual flexibility requires contractual dates, cancellation rights, funding conditions and consequences for future revenue. A profitable incumbent with diversified cash generation and a leveraged provider with concentrated customers face different constraints; another company's liquid assets are not an available rescue fund. [Cash contract](../analysis/calculation-contract.md), [Historical company evidence](../analysis/research-notes.md)\n\n**What survives the rebuttal:** AI can create substantial value while the wrong owner captures too little, too late, against expensive fixed obligations. That narrower bear case is powerful. The evidence does not yet supply its sector-wide prevalence, deadline or probability.\n\nThe contest should turn on three observations: growing paid accepted work and contribution after all serving costs; customer gains sustained after review, implementation and error costs; and borrower-level collections and committed funding meeting actual payments and maturities. Repeated weakness across those measures would strengthen the shock case. Improving contribution and cash coverage despite lower unit prices would weaken it. Neither outcome requires believing that every new token is valuable—or that nothing useful happens until a robot arrives.", "quantitative_example_or_finding": "Illustration:cash capex18→12bn lowers annual funding need14.58→8.58bn with revenue24bn,OCF margin40%,principal6.18bn unchanged.", "decisive_observation": "Reconcile monthly unrestricted cash, customer receipts, executable funding, delivery obligations, cancellability, capex and actual debt maturities.", "limits": "No claim these payments are deferrable; OCF includes existing interest; advances are not profit; rich incumbents do not automatically rescue other borrowers.", "source_ids": [ "CRWV-Q", "ORCL-q1-filing", "LOCAL-CALC", "LOCAL-SCOPE" ], "story_points": [ 4, 7, 8 ] } ], "claims": [ { "id": "REB-P01", "text": "Lower unit costs and usefulness can shift paid demand enough to offset lower prices; profit also depends on serving costs and capital recovery.", "claim_type": "interpretation", "framing": "Illustrative response, not estimated elasticity; new-chip cost gains can still impair old equipment.", "interpretation_not_measured_causality": true, "status": "supported", "support": "corroborated", "risk": "high", "sources": [ { "source_id": "GOOGL-call-q1", "source_name": "Alphabet 2026 Q1 earnings call including Q&A", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Pichai Search response costs; Schindler monetization; CFO Cloud and TPU outlook; Q&A.", "url": "https://abc.xyz/investor/events/event-details/2026/2026-Q1-Earnings-Call-2026-nW8kCrBAKS/default.aspx", "accessed": "2026-10-23", "paraphrase": "Existing historical packet; original archive/hash references retained, not copied" }, { "source_id": "LOCAL-CALC", "source_name": "Demand Shock Model calculation contract", "source_type": "other", "voice_role": "primary_participant", "locator": "Price/useful work; Cash/commitments/runway; Macroeconomic scale/capture", "url": "../analytics/CALCULATION_CONTRACT.md", "accessed": "2026-10-23", "paraphrase": "Local conditional arithmetic and modeling definitions, not observed actuals" } ], "publish_decision": "publish" }, { "id": "REB-P02", "text": "Same-basis revenue comparisons and public token growth must be separated from accounting changes, paid spending and hardware-specific contracts.", "claim_type": "interpretation", "framing": "OpenRouter excludes private/ZDR traffic and lacks complete paid/free/cache splits; rounded chart totals are not compute or revenue. OpenAI accounting explanation remains secondary; CoreWeave pricing is selected management evidence. Bloomberg original excerpt reports year-end≥70B target, distinct from the Axios accounting comparison; underlying financial records not obtained and future target not yet a realized year-end miss.", "interpretation_not_measured_causality": true, "status": "supported", "support": "corroborated", "risk": "high", "sources": [ { "source_id": "CUR-S04", "source_name": "OpenAI annualized revenue $20 billion less than previously reported", "source_type": "reputable_journalism", "voice_role": "journalist", "locator": "Opening and partner-sales accounting explanation", "url": "https://www.axios.com/2026/10/08/openai-50-billion-arr-anthropic-revenue-accounting", "accessed": "2026-10-23", "paraphrase": "Underlying investor presentation and audited revenue policies not obtained." }, { "source_id": "CRWV-P", "source_name": "CoreWeave continues to contract capacity at higher prices", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Dated body: three-to-six-month contracts, annualized revenue/power metric, early Q3 commitments", "url": "https://investors.coreweave.com/news/news-details/2026/CoreWeave-Continues-to-Contract-New-Compute-Capacity-at-Higher-Prices/default.aspx", "accessed": "2026-10-23", "paraphrase": "Existing historical packet; original archive/hash references retained, not copied" }, { "source_id": "OR-S01", "source_name": "OpenRouter official rankings: twelve completed public-token weeks", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Top Models weekly visible chart totals, nine named models plus Others; Monday labels July27–October12, ending October18", "url": "https://openrouter.ai/rankings", "accessed": "2026-10-23", "paraphrase": "Rounded public prompt+completion telemetry; private and zero-data-retention traffic excluded; free variants present; no complete free/paid/cache split; no global AI or revenue interpretation." }, { "source_id": "OR-S02", "source_name": "OpenRouter Data API documentation", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "GET /api/v1/datasets/rankings-daily; coverage exclusions and UTC daily buckets", "url": "https://openrouter.ai/docs/cookbook/administration/data-api", "accessed": "2026-10-23", "paraphrase": "Documents private models/endpoints and zero-data-retention exclusions. Exact authenticated API export not acquired; weekly boundary timezone inferred from documented dailyUTC, not separately stated in chart." }, { "source_id": "CUR-S25", "source_name": "OpenAI Expects $70 Billion in Annualized Revenue by End of 2026", "source_type": "reputable_journalism", "voice_role": "journalist", "locator": "Headline, byline/timestamps and visible opening paragraphs; evidence/current_root_bloomberg_snapshot.txt", "url": "https://www.bloomberg.com/news/articles/2026-10-09/openai-expects-70-billion-in-annualized-revenue-by-end-of-2026", "accessed": "2026-10-24", "paraphrase": "Bloomberg cites people familiar: roughly50B annualized revenue at Septemberend and expectation to reach/exceed70B by yearend. This is a forward target, not a realized year-end miss. Underlying financial records/accounting reconciliation not obtained. Distinct from Axios70→50 partner-sales accounting comparison." } ], "publish_decision": "publish" }, { "id": "REB-P03", "text": "Bundled usage can monetize through retention or other businesses; cheaper specialized serving can broaden profitable applications while reducing frontier share.", "claim_type": "interpretation", "framing": "Economic possibilities do not establish subsidy returns or general capacity scarcity; specialized routing could reduce frontier revenue.", "interpretation_not_measured_causality": true, "status": "supported", "support": "corroborated", "risk": "high", "sources": [ { "source_id": "CUR-S14", "source_name": "Getting started with your dot", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Which plans include dots?", "url": "https://help.openai.com/en/articles/20001530-getting-started-with-your-dot", "accessed": "2026-10-23", "paraphrase": "Page displayed updated yesterday on2026-10-23; relative date, exact update timestamp unknown." }, { "source_id": "CUR-S15", "source_name": "Introducing Claude Duet", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Opening; How Claude Duet works; Join research preview", "url": "https://claude.com/resources/articles/claude-duet", "accessed": "2026-10-23", "paraphrase": "US Pro/Max waitlist; background checks count toward shared plan limits." }, { "source_id": "CUR-S16", "source_name": "Grok Bot is now included with more plans", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Plan list and separate usage paragraph", "url": "https://x.ai/news/grok-bot-more-plans", "accessed": "2026-10-23", "paraphrase": "Included with paid SuperGrok/Cursor plans, with own usage; not universal free unlimited compute." }, { "source_id": "CUR-S17", "source_name": "Bringing the power of Personal Intelligence to more people", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Article body availability paragraph", "url": "https://blog.google/products-and-platforms/products/search/personal-intelligence-expansion/", "accessed": "2026-10-23", "paraphrase": "US personal-account availability; excludes Workspace business/enterprise/education. Article body used, not AI-generated summary." }, { "source_id": "CUR-S18", "source_name": "Announcing Fin Apex: The age of vertical models is here", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "The news, core answering model paragraph", "url": "https://www.intercom.com/blog/announcing-fin-apex-the-age-of-vertical-models-is-here", "accessed": "2026-10-23", "paraphrase": "Vendor report of its own deployment. No independently verified parameter count, margin, or retained-profit causal estimate." } ], "publish_decision": "publish" }, { "id": "REB-P04", "text": "Human-supervised assistance can create accepted output gains despite incomplete automation; maintenance and quality determine whether those gains survive.", "claim_type": "interpretation", "framing": "Older completion/GPT3 tools, heterogeneous effects, vendor participation, one-firm support study not randomized; neither proves net profit or current autonomous-agent effect.", "interpretation_not_measured_causality": true, "status": "supported", "support": "corroborated", "risk": "high", "sources": [ { "source_id": "REB-S01", "source_name": "The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers", "source_type": "peer_reviewed", "voice_role": "scholar", "locator": "Abstract; published-online date; author affiliations and acknowledgments", "url": "https://pubsonline.informs.org/doi/10.1287/mnsc.2025.00535", "accessed": "2026-10-23", "paraphrase": "Three randomized enterprise field experiments, 4867 developers; pooled estimated 26.08% increase in completed tasks among tool users, SE10.3 percentage points. Individual trials noisy and heterogeneous." }, { "source_id": "REB-S02", "source_name": "Generative AI at Work", "source_type": "peer_reviewed", "voice_role": "scholar", "locator": "Abstract; Introduction paragraphs on setting, human oversight and aggregate-outcome limitations; QJE140(2):889–942; Section IV.A AI Rollout (fall2020/winter2021)", "url": "https://doi.org/10.1093/qje/qjae044", "accessed": "2026-10-23", "paraphrase": "Staggered GPT3-based assistant introduction among5172 support agents at one Fortune500 business-software firm;15% more issues resolved/hour average, heterogeneous effects, small quality declines among highest-skilled." }, { "source_id": "CUR-S19", "source_name": "AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burden", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Abstract; version3", "url": "https://arxiv.org/abs/2510.10165v3", "accessed": "2026-10-23", "paraphrase": "Observational OSS/Copilot paper, not a measurement of October2026 frontier agents." }, { "source_id": "CUR-S20", "source_name": "We are Changing our Developer Productivity Experiment Design", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Opening findings and selection-effects discussion", "url": "https://metr.org/blog/2026-02-24-uplift-update/", "accessed": "2026-10-23", "paraphrase": "2025 trial plus late2025 follow-up; current-2026 effect explicitly considered unreliable by authors." } ], "publish_decision": "publish" }, { "id": "REB-P05", "text": "Avoided hiring, extra profitable output, fewer errors and consumer gains may occur without layoffs or a separately labeled AI-profit line.", "claim_type": "interpretation", "framing": "Paid adoption may be unwise; undisclosed AI profit stays unknown; selected cases cannot identify population prevalence or macro impact.", "interpretation_not_measured_causality": true, "status": "supported", "support": "corroborated", "risk": "high", "sources": [ { "source_id": "LOCAL-SCOPE", "source_name": "Orange Book deep notes", "source_type": "other", "voice_role": "primary_participant", "locator": "Opening scope, company cases and acceptance limits", "url": "orangebook_deep_notes.md", "accessed": "2026-10-23", "paraphrase": "Historical evidence cutoff September27; selected15 cases are not representative" }, { "source_id": "MSFT-T4", "source_name": "Microsoft FY2026 fourth-quarter earnings call", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "DOCX word/document.xml paragraphs indexed from zero: 23 throughput; 71 paid Copilot seats; 137–139 capex and cash; 143 RPO; 156 Azure; 164–165 lease reclassification; 246–260 Copilot Q&A; 275–284 investment-return Q&A", "url": "https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/TranscriptFY26Q4.docx", "accessed": "2026-10-23", "paraphrase": "Existing historical packet; original archive/hash references retained, not copied" }, { "source_id": "META-T2", "source_name": "Meta Q2 2026 earnings call", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "July 29, 2026; prepared remarks pp.1–9 and Q&A pp.10–21; specific model outcomes p.7, Instagram engagement p.5, open models pp.17–20, near-term capacity/2028 flexibility p.21.", "url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf", "accessed": "2026-10-23", "paraphrase": "Existing historical packet; original archive/hash references retained, not copied" }, { "source_id": "LOCAL-CALC", "source_name": "Demand Shock Model calculation contract", "source_type": "other", "voice_role": "primary_participant", "locator": "Price/useful work; Cash/commitments/runway; Macroeconomic scale/capture", "url": "../analytics/CALCULATION_CONTRACT.md", "accessed": "2026-10-23", "paraphrase": "Local conditional arithmetic and modeling definitions, not observed actuals" }, { "source_id": "CUR-S23", "source_name": "Economic Indicators, September2026", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "PDFpage3, printedpage1, Gross Domestic Product table,2025 row", "url": "https://www.govinfo.gov/content/pkg/ECONI-2026-09/pdf/ECONI-2026-09.pdf", "accessed": "2026-10-23", "paraphrase": "Cover says data available through2026-10-07. Quarterly columns are SAAR;2025 row is annual actual revised. Initial PDF text succeeded; repeat fetch timed out. No visual table validation claimed." } ], "publish_decision": "publish" }, { "id": "REB-P06", "text": "Better designs or prioritization could raise the number/value of experiments within research budgets; providers can be paid before approved-product sales.", "claim_type": "interpretation", "framing": "Mechanism only; FDA establishes clinical-validation lag, not increased AI demand. Ultimate return and scale remain unproved.", "interpretation_not_measured_causality": true, "status": "supported", "support": "corroborated", "risk": "high", "sources": [ { "source_id": "CUR-S21", "source_name": "Step3: Clinical Research", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Clinical trial phases and IND process", "url": "https://www.fda.gov/patients/drug-development-process/step-3-clinical-research", "accessed": "2026-10-23", "paraphrase": "Official general process guidance, not a measured AI-biotech productivity effect." }, { "source_id": "LOCAL-CALC", "source_name": "Demand Shock Model calculation contract", "source_type": "other", "voice_role": "primary_participant", "locator": "Price/useful work; Cash/commitments/runway; Macroeconomic scale/capture", "url": "../analytics/CALCULATION_CONTRACT.md", "accessed": "2026-10-23", "paraphrase": "Local conditional arithmetic and modeling definitions, not observed actuals" } ], "publish_decision": "publish" }, { "id": "REB-P07", "text": "Contracts may shift utilization risk; prepayments advance cash; actual capex discretion and maturity timing determine financing pressure by borrower.", "claim_type": "interpretation", "framing": "No claim these payments are deferrable; OCF includes existing interest; advances are not profit; rich incumbents do not automatically rescue other borrowers.", "interpretation_not_measured_causality": true, "status": "supported", "support": "corroborated", "risk": "high", "sources": [ { "source_id": "CRWV-Q", "source_name": "CoreWeave Q2 2026 Form 10-Q", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Cash flows p11 (six months 2026 column); balance sheet p6; Note2 p15; Note8 pp24–25; Note10 pp27–31; MD&A liquidity and customer/supplier risks", "url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000366/crwv-20260630.htm", "accessed": "2026-10-23", "paraphrase": "Existing historical packet; original archive/hash references retained, not copied" }, { "source_id": "ORCL-q1-filing", "source_name": "Oracle 10-Q for period ended 2026-08-31", "source_type": "primary_text", "voice_role": "primary_participant", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm", "accessed": "2026-10-23", "paraphrase": "Existing historical packet; original archive/hash references retained, not copied" }, { "source_id": "LOCAL-CALC", "source_name": "Demand Shock Model calculation contract", "source_type": "other", "voice_role": "primary_participant", "locator": "Price/useful work; Cash/commitments/runway; Macroeconomic scale/capture", "url": "../analytics/CALCULATION_CONTRACT.md", "accessed": "2026-10-23", "paraphrase": "Local conditional arithmetic and modeling definitions, not observed actuals" }, { "source_id": "LOCAL-SCOPE", "source_name": "Orange Book deep notes", "source_type": "other", "voice_role": "primary_participant", "locator": "Opening scope, company cases and acceptance limits", "url": "orangebook_deep_notes.md", "accessed": "2026-10-23", "paraphrase": "Historical evidence cutoff September27; selected15 cases are not representative" } ], "publish_decision": "publish" } ], "sources": [ { "id": "CRWV-P", "source_id": "CRWV-P", "title": "CoreWeave continues to contract capacity at higher prices", "source_type": "management statement", "published_at": "2026-09-17", "available_at": "2026-09-17", "accessed_at": "2026-09-28", "locator": "Dated body: three-to-six-month contracts, annualized revenue/power metric, early Q3 commitments", "url": "https://investors.coreweave.com/news/news-details/2026/CoreWeave-Continues-to-Contract-New-Compute-Capacity-at-Higher-Prices/default.aspx" }, { "id": "CRWV-Q", "source_id": "CRWV-Q", "title": "CoreWeave Q2 2026 Form 10-Q", "source_type": "filing", "published_at": "2026-08-12", "available_at": "2026-08-12", "accessed_at": "2026-09-28", "locator": "Cash flows p11 (six months 2026 column); balance sheet p6; Note2 p15; Note8 pp24–25; Note10 pp27–31; MD&A liquidity and customer/supplier risks", "url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000366/crwv-20260630.htm" }, { "id": "CUR-S04", "title": "OpenAI annualized revenue $20 billion less than previously reported", "publisher": "Axios", "source_type": "secondary", "published_at": "2026-10-08T19:50:13Z", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Opening and partner-sales accounting explanation", "url": "https://www.axios.com/2026/10/08/openai-50-billion-arr-anthropic-revenue-accounting" }, { "id": "CUR-S14", "title": "Getting started with your dot", "publisher": "OpenAI", "source_type": "primary", "published_at": "2026-10-22", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Which plans include dots?", "url": "https://help.openai.com/en/articles/20001530-getting-started-with-your-dot" }, { "id": "CUR-S15", "title": "Introducing Claude Duet", "publisher": "Anthropic", "source_type": "primary", "published_at": "2026-10-21", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Opening; How Claude Duet works; Join research preview", "url": "https://claude.com/resources/articles/claude-duet" }, { "id": "CUR-S16", "title": "Grok Bot is now included with more plans", "publisher": "SpaceXAI", "source_type": "primary", "published_at": "2026-08-26", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Plan list and separate usage paragraph", "url": "https://x.ai/news/grok-bot-more-plans" }, { "id": "CUR-S17", "title": "Bringing the power of Personal Intelligence to more people", "publisher": "Google", "source_type": "primary", "published_at": "2026-03-17", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Article body availability paragraph", "url": "https://blog.google/products-and-platforms/products/search/personal-intelligence-expansion/" }, { "id": "CUR-S18", "title": "Announcing Fin Apex: The age of vertical models is here", "publisher": "Intercom / Eoghan McCabe", "source_type": "primary", "published_at": "2026-03-26", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "The news, core answering model paragraph", "url": "https://www.intercom.com/blog/announcing-fin-apex-the-age-of-vertical-models-is-here" }, { "id": "CUR-S19", "title": "AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burden", "publisher": "Xu et al.", "source_type": "primary", "published_at": "2026-01-28T12:11:30Z", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Abstract; version3", "url": "https://arxiv.org/abs/2510.10165v3" }, { "id": "CUR-S20", "title": "We are Changing our Developer Productivity Experiment Design", "publisher": "METR", "source_type": "primary", "published_at": "2026-02-24", "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Opening findings and selection-effects discussion", "url": "https://metr.org/blog/2026-02-24-uplift-update/" }, { "id": "CUR-S21", "title": "Step3: Clinical Research", "publisher": "FDA", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23T14:10:14.149571+00:00", "locator": "Clinical trial phases and IND process", "url": "https://www.fda.gov/patients/drug-development-process/step-3-clinical-research" }, { "id": "CUR-S23", "title": "Economic Indicators, September2026", "publisher": "Council of Economic Advisers / Joint Economic Committee / GPO; underlying BEA", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23T14:11:49.499161+00:00", "locator": "PDFpage3, printedpage1, Gross Domestic Product table,2025 row", "url": "https://www.govinfo.gov/content/pkg/ECONI-2026-09/pdf/ECONI-2026-09.pdf" }, { "id": "GOOGL-call-q1", "source_id": "GOOGL-call-q1", "title": "Alphabet 2026 Q1 earnings call including Q&A", "source_type": "management statement", "published_at": "2026-04-29", "available_at": "2026-04-29", "accessed_at": "2026-09-28", "locator": "Pichai Search response costs; Schindler monetization; CFO Cloud and TPU outlook; Q&A.", "url": "https://abc.xyz/investor/events/event-details/2026/2026-Q1-Earnings-Call-2026-nW8kCrBAKS/default.aspx" }, { "id": "LOCAL-CALC", "title": "Demand Shock Model calculation contract", "source_type": "other", "published_at": "2026-10-23", "locator": "Price/useful work; Cash/commitments/runway; Macroeconomic scale/capture", "url": null }, { "id": "LOCAL-SCOPE", "title": "Orange Book deep notes", "source_type": "other", "published_at": "2026-10-23", "locator": "Opening scope, company cases and acceptance limits", "url": null }, { "id": "META-T2", "source_id": "META-T2", "title": "Meta Q2 2026 earnings call", "source_type": "management statement — official full transcript including Q&A", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "July 29, 2026; prepared remarks pp.1–9 and Q&A pp.10–21; specific model outcomes p.7, Instagram engagement p.5, open models pp.17–20, near-term capacity/2028 flexibility p.21.", "url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf" }, { "id": "MSFT-T4", "source_id": "MSFT-T4", "title": "Microsoft FY2026 fourth-quarter earnings call", "source_type": "management statement", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "DOCX word/document.xml paragraphs indexed from zero: 23 throughput; 71 paid Copilot seats; 137–139 capex and cash; 143 RPO; 156 Azure; 164–165 lease reclassification; 246–260 Copilot Q&A; 275–284 investment-return Q&A", "url": "https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/TranscriptFY26Q4.docx" }, { "id": "ORCL-q1-filing", "source_id": "ORCL-q1-filing", "title": "Oracle 10-Q for period ended 2026-08-31", "source_type": "filing", "published_at": "2026-09-11", "available_at": "2026-09-11", "accessed_at": "2026-09-28", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm" }, { "id": "REB-S01", "title": "The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers", "source_type": "peer_reviewed", "published_at": "2026-02-27", "accessed_at": "2026-10-23", "locator": "Abstract; published-online date; author affiliations and acknowledgments", "scope": "Microsoft, Accenture, anonymous Fortune100 firm; code-completion assistant, not October2026 agents; company-run trials and Microsoft-affiliated coauthors", "limits": "Abstract checked; no microdata replication. Not net profit, generalized time saving, or unconditional effect of access. Do not infer long-run maintenance outcome.", "finding": "Three randomized enterprise field experiments, 4867 developers; pooled estimated 26.08% increase in completed tasks among tool users, SE10.3 percentage points. Individual trials noisy and heterogeneous.", "available_before_historical_cutoff": true, "url": "https://pubsonline.informs.org/doi/10.1287/mnsc.2025.00535" }, { "id": "REB-S02", "title": "Generative AI at Work", "source_type": "peer_reviewed", "published_at": "2025-02-04", "accessed_at": "2026-10-23", "locator": "Abstract; Introduction paragraphs on setting, human oversight and aggregate-outcome limitations; QJE140(2):889–942; Section IV.A AI Rollout (fall2020/winter2021)", "scope": "One-firm staggered rollout, not RCT; human assistants responsible for conversations; medium-run effects", "limits": "Does not establish net profit, wage or aggregate employment effects, or all 2026 products. No microdata replication.", "finding": "Staggered GPT3-based assistant introduction among5172 support agents at one Fortune500 business-software firm;15% more issues resolved/hour average, heterogeneous effects, small quality declines among highest-skilled.", "rollout_period": "Primarily fall 2020 and winter 2021; Section IV.A", "available_before_historical_cutoff": true, "url": "https://doi.org/10.1093/qje/qjae044" }, { "id": "OR-S01", "title": "OpenRouter official rankings: twelve completed public-token weeks", "publisher": "OpenRouter", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23", "locator": "Top Models weekly visible chart totals, nine named models plus Others; Monday labels July27–October12, ending October18", "url": "https://openrouter.ai/rankings" }, { "id": "OR-S02", "title": "OpenRouter Data API documentation", "publisher": "OpenRouter", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23", "locator": "GET /api/v1/datasets/rankings-daily; coverage exclusions and UTC daily buckets", "url": "https://openrouter.ai/docs/cookbook/administration/data-api" }, { "id": "CUR-S25", "title": "OpenAI Expects $70 Billion in Annualized Revenue by End of 2026", "publisher": "Bloomberg", "authors": [ "Rebecca Torrence", "Shirin Ghaffary" ], "source_type": "secondary", "published_at": "2026-10-09T10:43:00+09:00", "accessed_at": "2026-10-24T00:51:52.559069+09:00", "updated_at": "2026-10-09T19:03:00+09:00", "locator": "Headline, byline/timestamps and visible opening paragraphs; evidence/current_root_bloomberg_snapshot.txt", "url": "https://www.bloomberg.com/news/articles/2026-10-09/openai-expects-70-billion-in-annualized-revenue-by-end-of-2026" } ] }, "story": [ "GPUs are capacity - if they're idle price plummets - like an airline seat or deepwater drilling rigs. ", "The current demand outlook looks soft, despite INCREDIBLE growth, greath results from Meta and Tesla are seen as *bearish* near term until *real, economic* use cases come online (e.g. drones, humanoid robots). ", "Anthropic's leaked S1 has great growth that is slowing. Openrouter OVERALL token usage is slowing. OpenAI's revenue was $50B vs. $65B predicted. None of this is BAD but below expectations. ", "All of the compute is *prepaid* and *contracted* and *delayed* in many critical areas. But this means you need to fund the payments with customer revenue. This seems unlikely: tokens (companies will wait 6 months for cheaper tokens, the biggest spenders are optimizing toward lower end models) and new use cases aren't coming fast enough. ", "Current usage is driven by \"Free\" agent use (dots, duet, grokbot, google search). If models were so constrained that they didn't have enough compute, they'd be selling these tokens not giving them away proactively. ", "The real use case seems to be a 'rush to research' in biotech and other areas, but that is basically *brains without legs*; even if you achieve RSI, your implementation timeline would be long and revenue wouldn't be unlimited.", "This is SUPER bullish long term and the companies are making the right bets, but they're trapped into overspending and perhaps insolvency. It would take a miracle that could replace workers MAJORLY in the next 6-9 months at large scale that would save the economics of the business, and it's not clear that will be manageable socially.", "But near term, you can imagine a crash in token prices and many players weakening and stock prices plummeting as a result.", "There simply are NOT ENOUGH use cases. The single one that has massive economic value (programming) seems to be a cost *driver* not a cost saver. Quality isn't there to ship 'straight to production' so it's just creating larger surface areas. Core products like Codex still ship with awful bugs (taking up disk space, e.g.) and Sam Altman, the quintessential user said in a YouTube video he only saves 1 hour per day with an ULTRAFAST DOT in a PURELY AI LEGIBLE COMPANY. This is bad. Legal, all these other companies will catch up and they're trying with RL environments and more compute, but it's not obviously they'll get there in time.", "Most important it's not showing up in the main customer's P&L - to grow the economy by 10-20% you either need to produce the trillions in revenue or provide it to the people. This according to our MASSIVE orangebook analysis isn't happening." ], "sources": [ { "id": "T4", "source_id": "MSFT-T4", "title": "Microsoft FY2026 fourth-quarter earnings call", "source_type": "management statement", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "DOCX word/document.xml paragraphs indexed from zero: 23 throughput; 71 paid Copilot seats; 137–139 capex and cash; 143 RPO; 156 Azure; 164–165 lease reclassification; 246–260 Copilot Q&A; 275–284 investment-return Q&A", "url": "https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/TranscriptFY26Q4.docx" }, { "id": "K2026", "source_id": "MSFT-K2026", "title": "Microsoft FY2026 Form 10-K", "source_type": "filing", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "Part I Item 1 Business; Part II Item 7 FY2026 gross margin, liquidity and Contractual Obligations table; Item 8 consolidated cash-flow statement FY2026/FY2025 columns; Note 1 Investments/OpenAI; Note 13 Leases, maturity table and uncommenced paragraph; Item 7 Cash Flows (printed p43), other-investing year-over-year change; Note 1 Contract Balances and Other Receivables (p57), component-facilitation receivables and restricted supplier investments; Note 13 supplemental cash flow (p77), FY2026 Financing cash flows from finance leases.", "url": "https://www.sec.gov/Archives/edgar/data/789019/000119312526323660/msft-20260630.htm" }, { "id": "T2", "source_id": "META-T2", "title": "Meta Q2 2026 earnings call", "source_type": "management statement — official full transcript including Q&A", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "July 29, 2026; prepared remarks pp.1–9 and Q&A pp.10–21; specific model outcomes p.7, Instagram engagement p.5, open models pp.17–20, near-term capacity/2028 flexibility p.21.", "url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf" }, { "id": "F2", "source_id": "META-F2", "title": "Meta Q2 2026 follow-up Q&A", "source_type": "management statement — official full transcript including Q&A", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "July 29, 2026; Susan Li answers Ron Josey/Youssef Squali pp.1–3; Nathanson/Black pp.4–5; Khajuria p.6; Champion p.10 on prospective agent charging.", "url": "https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Follow-Up-Call-Transcript.pdf" }, { "id": "Q226", "source_id": "META-Q226", "title": "Meta 10-Q for 2026-06-30", "source_type": "filing", "published_at": "2026-07-30", "available_at": "2026-07-30", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828026050705/meta-20260630.htm" }, { "id": "Q126", "source_id": "META-Q126", "title": "Meta 10-Q for 2026-03-31", "source_type": "filing", "published_at": "2026-04-30", "available_at": "2026-04-30", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828026028526/meta-20260331.htm" }, { "id": "K25", "source_id": "META-K25", "title": "Meta 10-K for 2025-12-31", "source_type": "filing", "published_at": "2026-01-29", "available_at": "2026-01-29", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828026003942/meta-20251231.htm" }, { "id": "Q325", "source_id": "META-Q325", "title": "Meta 10-Q for 2025-09-30", "source_type": "filing", "published_at": "2025-10-30", "available_at": "2025-10-30", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828025047240/meta-20250930.htm" }, { "id": "Q225", "source_id": "META-Q225", "title": "Meta 10-Q for 2025-06-30", "source_type": "filing", "published_at": "2025-07-31", "available_at": "2025-07-31", "accessed_at": "2026-09-28", "locator": "Original consolidated cash-flow statements and comparative columns. Q226: Notes 4,5,6,9,13 and MD&A/liquidity; K25: Note 2 advertising revenue, AI strategy and accounting-life/investment notes. Other filings: accepted financial-panel cash operands; not a fresh full narrative reread.", "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828025036791/meta-20250630.htm" }, { "id": "q2", "source_id": "AMZN-q2", "title": "Amazon June 2026 Form 10-Q", "source_type": "filing", "published_at": "2026-07-31", "available_at": "2026-07-31", "accessed_at": "2026-09-28", "locator": "Cash-flow statement, H1 columns; Note 1 Unearned Revenue; Note 2 Anthropic/OpenAI and liquid/restricted assets; Notes 3–5 lease, commitment and financing disclosures; MD&A AWS sales and operating income.", "url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000026/amzn-20260630.htm" }, { "id": "release", "source_id": "AMZN-release", "title": "Amazon Q2 2026 results release", "source_type": "management statement", "published_at": "2026-07-30", "available_at": "2026-07-30", "accessed_at": "2026-09-28", "locator": "Dated July 30 2026; Jassy quotation and highlights: AI/chips run rates, Bedrock spending, Trainium adoption; rendered browser snapshot.", "url": "https://ir.aboutamazon.com/news-release/news-release-details/2026/Amazon-com-Announces-Second-Quarter-Results/" }, { "id": "letter", "source_id": "AMZN-letter", "title": "Amazon 2025 shareholder letter", "source_type": "management statement", "published_at": "2026-04-08", "available_at": "2026-04-08", "accessed_at": "2026-09-28", "locator": "AI numbered points 2–6: customer platform rationale, Trainium price-performance, chip run-rate composition, expected margin/capex savings, billing lag and 2027–2028 monetization. Date supported by retained IR index.", "url": "https://s2.q4cdn.com/299287126/files/doc_financials/2026/ar/2025-Shareholder-Letter-Final.pdf" }, { "id": "annual", "source_id": "AMZN-annual", "title": "Amazon 2025 Form 10-K", "source_type": "filing", "published_at": "2026-02-06", "available_at": "2026-02-06", "accessed_at": "2026-09-28", "locator": "Note 1: January 2025 useful-life reduction; Business: Developers and Enterprises; segment infrastructure allocation.", "url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" }, { "id": "q2-2026", "source_id": "GOOGL-q2-2026", "title": "Alphabet 2026-06-30 Form 10-Q", "source_type": "filing", "published_at": "2026-07-23", "available_at": "2026-07-23", "accessed_at": "2026-09-28", "locator": "Balance sheet p4; cash flows p9 six-month 2026 column; Notes 1–4 pp10–24, Note 6 debt, Note 8 Wiz, Note 10 commitments, Note 11 equity, Note 15 segments; MD&A liquidity pp51–54.", "url": "https://www.sec.gov/Archives/edgar/data/1652044/000165204426000071/goog-20260630.htm" }, { "id": "call-q2", "source_id": "GOOGL-call-q2", "title": "Alphabet 2026 Q2 earnings call including Q&A", "source_type": "management statement", "published_at": "2026-07-22", "available_at": "2026-07-22", "accessed_at": "2026-09-28", "locator": "Schindler Search/adopter conversions; Pichai paid enterprise use; CFO results/outlook; Anmuth financing Q&A; Sheridan TPU inventory/revenue; Nathanson product margin; Shmulik bridge-capacity return.", "url": "https://abc.xyz/investor/events/event-details/2026/2026-Q2-Earnings-Call-2026-GgTAq7Is0z/default.aspx" }, { "id": "call-q1", "source_id": "GOOGL-call-q1", "title": "Alphabet 2026 Q1 earnings call including Q&A", "source_type": "management statement", "published_at": "2026-04-29", "available_at": "2026-04-29", "accessed_at": "2026-09-28", "locator": "Pichai Search response costs; Schindler monetization; CFO Cloud and TPU outlook; Q&A.", "url": "https://abc.xyz/investor/events/event-details/2026/2026-Q1-Earnings-Call-2026-nW8kCrBAKS/default.aspx" }, { "id": "K", "source_id": "CRWV-K", "title": "CoreWeave FY2025 Form 10-K", "source_type": "filing", "published_at": "2026-03-02", "available_at": "2026-03-02", "accessed_at": "2026-09-28", "locator": "Business/platform, customer concentration and competitors; MD&A Components of Results; Note1 technology-equipment life and committed-contract revenue policy", "url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000104/crwv-20251231.htm" }, { "id": "Q", "source_id": "CRWV-Q", "title": "CoreWeave Q2 2026 Form 10-Q", "source_type": "filing", "published_at": "2026-08-12", "available_at": "2026-08-12", "accessed_at": "2026-09-28", "locator": "Cash flows p11 (six months 2026 column); balance sheet p6; Note2 p15; Note8 pp24–25; Note10 pp27–31; MD&A liquidity and customer/supplier risks", "url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000366/crwv-20260630.htm" }, { "id": "T", "source_id": "CRWV-T", "title": "CoreWeave Q2 2026 corrected earnings-call transcript", "source_type": "management statement", "published_at": "2026-08-11", "available_at": "2026-08-11", "accessed_at": "2026-09-28", "locator": "pp3,7–9,10–13,16–18: Intrator/Agrawal prepared remarks; Chatterjee renewal/pricing, Zelnick inference/margins, Turrin power timing, Knoblauch duration Q&A", "url": "https://s205.q4cdn.com/133937190/files/doc_financials/2026/q2/CRWV-US-CORRECTED-TRANSCRIPT-CoreWeave-Q2-2026-Earnings-Call-11August2026.pdf" }, { "id": "P", "source_id": "CRWV-P", "title": "CoreWeave continues to contract capacity at higher prices", "source_type": "management statement", "published_at": "2026-09-17", "available_at": "2026-09-17", "accessed_at": "2026-09-28", "locator": "Dated body: three-to-six-month contracts, annualized revenue/power metric, early Q3 commitments", "url": "https://investors.coreweave.com/news/news-details/2026/CoreWeave-Continues-to-Contract-New-Compute-Capacity-at-Higher-Prices/default.aspx" }, { "id": "q1-filing", "source_id": "ORCL-q1-filing", "title": "Oracle 10-Q for period ended 2026-08-31", "source_type": "filing", "published_at": "2026-09-11", "available_at": "2026-09-11", "accessed_at": "2026-09-28", "locator": "Cash flows p.5; Note1 pp.6–7; Note2 p.9; Note3 pp.9–10; Note6 pp.12–13; MD&A pp.27–28,33–35", "url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526389274/orcl-20260831.htm" }, { "id": "q4-release", "source_id": "ORCL-q4-release", "title": "Oracle Q4 FY2026 earnings release", "source_type": "management_statement_earnings_release_not_transcript", "published_at": "2026-06-10", "available_at": "2026-06-10", "accessed_at": "2026-09-28", "locator": "pp.2–3, RPO and capital funding", "url": "https://s23.q4cdn.com/440135859/files/doc_earnings/2026/q4/earnings-result/4q26-pressrelease-final.pdf" }, { "id": "annual", "source_id": "ORCL-annual", "title": "Oracle 10-K for period ended 2026-05-31", "source_type": "filing", "published_at": "2026-06-22", "available_at": "2026-06-22", "accessed_at": "2026-09-28", "locator": "Note1 revenue recognition pp.70–72 and concentrations pp.74–75; Risk Factors OCI concentration; Note13 segment seasonality", "url": "https://www.sec.gov/Archives/edgar/data/1341439/000119312526277521/orcl-20260531.htm" }, { "id": "deck", "source_id": "EQIX-deck", "title": "Equinix Q2 2026 earnings presentation", "source_type": "management statement", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "Printed pp.3,10,11,24,26,48–50: demand, mature portfolio, capex, cabinet metrics, construction schedule and definitions", "url": "https://d1io3yog0oux5.cloudfront.net/_f9ad8b88d669de65a966b7e00da37b99/equinix/db/2183/27054/earnings_presentation/Equinix+Q2+26+Earnings+Presentation+Final.pdf" }, { "id": "release", "source_id": "EQIX-release", "title": "Equinix Q2 2026 results release", "source_type": "management statement", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "Results and 2026 / 2027–2029 outlook, capital spending exclusions; not a transcript", "url": "https://investor.equinix.com/news-events/press-releases/detail/1114/equinix-reports-second-quarter-results-raises-2026/" }, { "id": "q2", "source_id": "EQIX-q2", "title": "Equinix Q2 2026 Form 10-Q", "source_type": "filing", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "pp.6/9 balance sheet and cash flows; Note4 pp.12–14; Note7 leases; Note9 commitments; MD&A revenue, AFFO pp.55–56 and liquidity", "url": "https://www.sec.gov/Archives/edgar/data/1101239/000110123926000147/eqix-20260630.htm" }, { "id": "FUND", "source_id": "OPENAI-FUND", "title": "Scaling AI for everyone", "source_type": "management_statement", "published_at": "2026-02-27", "available_at": "2026-02-27", "accessed_at": "2026-09-28", "locator": "Article paragraphs beginning Today, More than 9 million, and ChatGPT is where; funding, users and subscribers", "url": "https://openai.com/index/scaling-ai-for-everyone/" }, { "id": "MSAMEND", "source_id": "OPENAI-MSAMEND", "title": "The next phase of the Microsoft OpenAI partnership", "source_type": "management_statement", "published_at": "2026-04-27", "available_at": "2026-04-27", "accessed_at": "2026-09-28", "locator": "Agreement bullet list: cloud access, IP licence, two revenue-share directions and cap", "url": "https://openai.com/index/next-phase-of-microsoft-partnership/" }, { "id": "MSK", "source_id": "OPENAI-MSK", "title": "Microsoft FY2026 Form10-K", "source_type": "filing", "published_at": "2026-07-29", "available_at": "2026-07-29", "accessed_at": "2026-09-28", "locator": "Note1 Investment in OpenAI/related-party paragraph; commercial revenue, receivable, funding, HLBV; Note3 recapitalization gains", "url": "https://www.sec.gov/Archives/edgar/data/789019/000119312526323660/msft-20260630.htm" }, { "id": "AMQ", "source_id": "OPENAI-AMQ", "title": "Amazon June2026 Form10-Q", "source_type": "filing", "published_at": "2026-07-31", "available_at": "2026-07-31", "accessed_at": "2026-09-28", "locator": "Note1 Unearned Revenue AWS/OpenAI $38bn+$100bn/8years and chip-performance obligations; Note2 Equity Investments OpenAI SeriesC; MD&A Liquidity printed pages27–28", "url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000026/amzn-20260630.htm" }, { "id": "K26Q2", "source_id": "PLTR-K26Q2", "title": "Palantir Form 10-Q for quarter ended June 30, 2026", "source_type": "filing", "published_at": "2026-08-04", "available_at": "2026-08-04", "accessed_at": "2026-09-29", "locator": "Part I Item 1 Notes 3 (RPO), 7 (Purchase Commitments); Part I Item 2 Overview/Revenue/Customers/Contribution Margin/Non-GAAP Reconciliations; 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Not net profit, generalized time saving, or unconditional effect of access. Do not infer long-run maintenance outcome.", "finding": "Three randomized enterprise field experiments, 4867 developers; pooled estimated 26.08% increase in completed tasks among tool users, SE10.3 percentage points. Individual trials noisy and heterogeneous.", "available_before_historical_cutoff": true, "url": "https://pubsonline.informs.org/doi/10.1287/mnsc.2025.00535" }, { "id": "REB-S02", "title": "Generative AI at Work", "source_type": "peer_reviewed", "published_at": "2025-02-04", "accessed_at": "2026-10-23", "locator": "Abstract; Introduction paragraphs on setting, human oversight and aggregate-outcome limitations; QJE140(2):889–942; Section IV.A AI Rollout (fall2020/winter2021)", "scope": "One-firm staggered rollout, not RCT; human assistants responsible for conversations; medium-run effects", "limits": "Does not establish net profit, wage or aggregate employment effects, or all 2026 products. No microdata replication.", "finding": "Staggered GPT3-based assistant introduction among5172 support agents at one Fortune500 business-software firm;15% more issues resolved/hour average, heterogeneous effects, small quality declines among highest-skilled.", "rollout_period": "Primarily fall 2020 and winter 2021; Section IV.A", "available_before_historical_cutoff": true, "url": "https://doi.org/10.1093/qje/qjae044" }, { "id": "OR-S01", "title": "OpenRouter official rankings: twelve completed public-token weeks", "publisher": "OpenRouter", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23", "locator": "Top Models weekly visible chart totals, nine named models plus Others; Monday labels July27–October12, ending October18", "url": "https://openrouter.ai/rankings" }, { "id": "OR-S02", "title": "OpenRouter Data API documentation", "publisher": "OpenRouter", "source_type": "primary", "published_at": null, "accessed_at": "2026-10-23", "locator": "GET /api/v1/datasets/rankings-daily; coverage exclusions and UTC daily buckets", "url": "https://openrouter.ai/docs/cookbook/administration/data-api" }, { "id": "CUR-S25", "title": "OpenAI Expects $70 Billion in Annualized Revenue by End of 2026", "publisher": "Bloomberg", "authors": [ "Rebecca Torrence", "Shirin Ghaffary" ], "source_type": "secondary", "published_at": "2026-10-09T10:43:00+09:00", "accessed_at": "2026-10-24T00:51:52.559069+09:00", "updated_at": "2026-10-09T19:03:00+09:00", "locator": "Headline, byline/timestamps and visible opening paragraphs; evidence/current_root_bloomberg_snapshot.txt", "url": "https://www.bloomberg.com/news/articles/2026-10-09/openai-expects-70-billion-in-annualized-revenue-by-end-of-2026" } ] }