← Cockpit
CMQ_028predictionSemisNVIDIA-TAM

NVIDIA's total AI chip revenue opportunity through 2027 is at least $3-5 trillion (upgraded from prior estimates at MS TMT 2026).

Predictor: Jensen Huang

Prior probability
65.0%
Current probability
72.4%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
pending
Window
2025-01-01 – 2027-12-31
Edges in / out
1 / 0
Tickers exposed
26

Prediction text

NVIDIA's total AI chip revenue opportunity through 2027 is at least $3-5 trillion (upgraded from prior estimates at MS TMT 2026). | NVIDIA quarterly DC revenue disclosures

Key catalyst: NVIDIA quarterly DC revenue disclosures

Watch events: NVIDIA quarterly data-center revenue; sovereign AI deal disclosures.

Resolution evidence

Status: pending

NVIDIA DC revenue >$150B/yr 2025 run rate; Vera Rubin/Feynman trajectory + sovereign-AI TAM expansion supports upgrade.

Predictor: Jensen Huang

κ + Brier as of 2026-05-22
κ (discount)
0.808
Brier
0.0128
excellent
Hits / Misses
6 / 0
of 8 resolved
Hit rate
75.0%
Calibration plot (stated vs observed)

Evidence about this node from Jensen Huang is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class: gpu_roadmap_on_time_1y

Linked

GPU vendor product roadmap milestone (architecture / production / launch) hits within 1y of announced date

Base rate
7/10 historical
Inside weight
Outside weight
no pull
inside 72.4% → blend 72.4% 0.0pp)

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

8 prob_history rows
0%25%50%75%100%prior 65%2026-04-302026-05-102026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 72.4%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 3 fired ✓ · 2 overdue ⏱ · 3 pending
  1. 2025-05-28hitNVIDIA Q1 FY2026 data center revenue exceeds $40B (annualized run-rate >$160B)
    How: NVIDIA reports Q1 FY2026 data center revenue >=$40B in earnings release (May 2025)
    Source: https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-first-quarter-fiscal-2026conf 95%
    Notes: HIT - run rate strongly supports $3-5T multi-year cumulative TAM thesis.
  2. 2025-07-24overdueQ1 window check-in (25%)
  3. 2026-02-13overdueQ2 window check-in (50%)
  4. 2026-02-25hitNVIDIA full-year FY2026 data center revenue ~$197B
    How: NVIDIA reports full fiscal-year 2026 data center revenue ~$197B (vs $115B prior year)
    Source: https://fortune.com/2026/02/25/nvidia-nvda-earnings-q4-results-jensen-huang/conf 97%
    Notes: HIT - $197B FY2026 data center revenue is on a $3-5T cumulative-through-2027 trajectory; about 70% growth YoY.
  5. 2026-04-29hitHyperscaler 2026 AI capex commitments ~$700B confirmed
    How: Combined 2026 AI capex from Amazon + Microsoft + Alphabet + Meta + Oracle confirmed ~$700B in their 10-Ks / earnings calls
    Source: https://www.fool.com/investing/2026/04/29/4-stocks-primed-to-benefit-from-the-7-trillion-dat/conf 92%
  6. 2026-09-05pendingQ3 window check-in (75%)
  7. 2026-01-01 → 2027-06-30pendingNVIDIA crosses $5T market capitalization sustainably
    How: NVIDIA market capitalization exceeds $5T (close-of-day) for >=20 consecutive trading days, validating Huang's TAM-justified valuation thesis
    Source: Bloomberg / Yahoo Finance NVDA market-cap historicalsconf 70%
  8. 2026-06-01 → 2027-09-30pendingIndustry/analyst consensus aligns with $3-5T cumulative AI infra TAM through 2027
    How: Major sell-side / industry research (Goldman Sachs, Morgan Stanley, McKinsey) publishes formal estimates aligned within +/-25% of the $3-5T cumulative-AI-infrastructure-TAM range
    Source: Goldman, Morgan Stanley, McKinsey AI infrastructure reportsconf 75%
    Notes: McKinsey already at $7T-by-2030 - signals consensus convergence with Huang's framing.
  9. 2027-06-01 → 2027-12-31pendingNVIDIA cumulative 2025-2027 data center revenue exceeds $500B (run-rate trajectory toward $3-5T TAM)
    How: Cumulative NVIDIA data center revenue across FY2025+FY2026+FY2027 exceeds $500B, validating the $3-5T multi-year-TAM directional claim
    Source: NVIDIA 10-K filingsconf 75%
    Notes: Cascade - Huang's $3-5T is total-through-2027 TAM (capex including non-NVIDIA share); $500B cumulative NVIDIA share is ~10-17% of that.

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 72%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-05-24T02:00:02Z72.4%-9.9pp
Network propagation: 82.3% → 72.4%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
intake_event_update2026-05-21T23:15:16Z82.3%+26.4pp
intake:7afeeb9a-f217-4dd2-b910-24ff14bdfc39 bayesian_v2 inside=0.823 blend=0.823 LLR=1.300 κ=0.81 no_blend
Raw metadata
{
  "trf": 0.5375055435477182,
  "kappa": 0.8077,
  "base_rate": null,
  "predictor": "Jensen Huang",
  "total_llr": 1.6094379124341,
  "bayesian_v2": true,
  "prior_logit": 0.2382433347202167,
  "bayes_factor": "3.7:1 favoring",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.5592807014200589,
  "kappa_source": "predictor_table",
  "blend_applied": false,
  "contributions": [
    {
      "llr": 1.6094379124341,
      "kappa": 0.8077,
      "label": "Q1 alone at $81.6B annualizes to >$325B; Q2 guide $91B implies $400B+ FY27 run-rate. $3-5T cumulative through 2027 looki",
      "adjusted_llr": 1.299943001873023
    }
  ],
  "evidence_kind": "intake_event_update",
  "inside_source": "history_v2",
  "inside_weight": 1,
  "outside_weight": 0,
  "posterior_prob": 0.8232009172426098,
  "evidence_origin": "daily_intake",
  "llm_suggestions": [
    {
      "polarity": "corroborates",
      "status_change": "accelerated",
      "evidence_strength": "strong",
      "delta_prob_suggestion": 0.08
    }
  ],
  "posterior_logit": 1.538186336593239,
  "predictor_brier": 0.01276,
  "evidence_doc_ids": [],
  "inside_posterior": 0.8232009172426098,
  "blended_posterior": 0.8232009172426098,
  "reference_class_id": null,
  "total_adjusted_llr": 1.299943001873023,
  "predictor_n_resolved": 8
}
LBP2026-05-17T02:00:01Z55.9%+1.8pp
Network propagation: 54.2% → 55.9%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z54.2%+3.6pp
Network propagation: 50.6% → 54.2%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z50.6%+7.0pp
Network propagation: 43.5% → 50.6%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
metadata_milestone_miss_sweep2026-05-02T22:07:21Z43.5%-16.2pp
metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.435 blend=0.435 LLR=-0.655 κ=0.81 no_blend
Raw metadata
{
  "trf": 0.5549161103469683,
  "kappa": 0.8077,
  "base_rate": null,
  "predictor": "Jensen Huang",
  "total_llr": -0.8109302162163288,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.395510903045804,
  "bayes_factor": "1.9:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.597608630112356,
  "kappa_source": "predictor_table",
  "n_milestones": 2,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.8077,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.32749416781896434,
      "expected_date": "2025-07-24",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.8077,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.32749416781896434,
      "expected_date": "2026-02-13",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.6115587227571222,
  "outside_weight": 0.3884412772428778,
  "posterior_prob": 0.4354921711767282,
  "posterior_logit": -0.2594774325921247,
  "predictor_brier": 0.01276,
  "inside_posterior": 0.4354921711767282,
  "blended_posterior": 0.4354921711767282,
  "reference_class_id": null,
  "total_adjusted_llr": -0.6549883356379287,
  "predictor_n_resolved": 8
}
LBP2026-04-30T16:39:51Z59.8%-1.8pp
Network propagation: 61.6% → 59.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z61.6%-3.4pp
Network propagation: 65.0% → 61.6%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.650-0.146

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

26 ticker(s) linked

Beneficiaries (22)

TSMAMBAARMCEVACRWVDOCNIRENNBISNVDASITMALABCSCODELLSIEGYINTCNXPILNVGYAMDANETMRVLAVGOQCOM

Prerequisites (1)

Predictions that must hit first
TypePredTitleDomainLag
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.754gdeltamazon chipmaker sell trainium ai chips nvidia 2026 4mentionspending2026-04-30
0.742manifoldWill any China-domestic AI chip reach ≥80% of NVIDIA H100 perf on a public benchmark before 2026-12-31?14%mentionspending2026-05-04
0.703manifoldHow many times will the Trump admin and/or NVIDIA flip-flop on giving NVIDIA chips to China before 2028? (fun)mentionspending2026-06-02
0.689manifoldWill Nvidia close above $225 on May 21, 2026 after earnings?45%mentionspending2026-05-11
0.685manifoldNvidia closes at $… in May 2026?mentionspending2026-05-17
0.660gdeltbig tech earnings microsoft ai investment capex plan 2026 4mentionspending2026-04-30
0.660manifoldWill Nvidia launch an RTX 5090 Ti, Titan, or equivalent flagship GPU before 2028?46%mentionspending2026-05-16
0.649manifoldWill Nvidia announce an N1/N1X Windows-on-Arm PC chip at its June 1 Computex keynote?75%mentionspending2026-05-09
0.628edgar_8kADVANCED MICRO DEVICES INC (AMD) (CIK 0000002488)mentionspending2026-05-15
0.624gdelt2580710mentionspending2026-04-30

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "≥$3-5T TAM",
  "mode": "FORECAST",
  "role": "Cited-Executive",
  "context": "Significant upgrade from prior ~$1T TAM framing; anchors NVIDIA $5T+ market-cap justification.",
  "to_year": 2027,
  "conv_cues": "at least; upgraded; CEO",
  "direction": "NUMERIC_TARGET",
  "from_year": 2025,
  "timeframe": "through 2027",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "NVIDIA Q1 FY2026 data center revenue exceeds $40B (annualized run-rate >$160B)",
      "notes": "HIT - run rate strongly supports $3-5T multi-year cumulative TAM thesis.",
      "source": "https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-first-quarter-fiscal-2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-first-quarter-fiscal-2026",
      "expected_date": "2025-05-28",
      "observed_date": "2025-05-28",
      "research_origin": "deep_research",
      "measurement_criterion": "NVIDIA reports Q1 FY2026 data center revenue >=$40B in earnings release (May 2025)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2025-07-24",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2026-02-13",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "NVIDIA full-year FY2026 data center revenue ~$197B",
      "notes": "HIT - $197B FY2026 data center revenue is on a $3-5T cumulative-through-2027 trajectory; about 70% growth YoY.",
      "source": "https://fortune.com/2026/02/25/nvidia-nvda-earnings-q4-results-jensen-huang/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.97,
      "source_url": "https://fortune.com/2026/02/25/nvidia-nvda-earnings-q4-results-jensen-huang/",
      "expected_date": "2026-02-25",
      "observed_date": "2026-02-25",
      "research_origin": "deep_research",
      "measurement_criterion": "NVIDIA reports full fiscal-year 2026 data center revenue ~$197B (vs $115B prior year)"
    },
    {
      "kind": "llm_pre_event",
      "label": "Hyperscaler 2026 AI capex commitments ~$700B confirmed",
      "source": "https://www.fool.com/investing/2026/04/29/4-stocks-primed-to-benefit-from-the-7-trillion-dat/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.92,
      "source_url": "https://www.fool.com/investing/2026/04/29/4-stocks-primed-to-benefit-from-the-7-trillion-dat/",
      "expected_date": "2026-03-01",
      "observed_date": "2026-04-29",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-04-30",
        "from": "2026-01-01"
      },
      "measurement_criterion": "Combined 2026 AI capex from Amazon + Microsoft + Alphabet + Meta + Oracle confirmed ~$700B in their 10-Ks / earnings calls"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-09-05",
      "observed_date": null
    },
    {
      "kind": "llm_post_event",
      "label": "NVIDIA crosses $5T market capitalization sustainably",
      "source": "Bloomberg / Yahoo Finance NVDA market-cap historicals
... (truncated)