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234_016predictionAI$100T

Enterprise not consumer will pay for the trillions of dollars of AI capex

Predictor: Alex Wissner-Gross · ep#234 "Anthropic vs. The Pentagon, Claude Outpaces ChatGPT, and Consulting Gets Replaced" · source

Prior probability
50.0%
Current probability
39.0%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-04-30 – 2029-03-31
Edges in / out
6 / 0
Tickers exposed
29

Prediction text

Enterprise not consumer will pay for the trillions of dollars of AI capex | enterprise is that revenue opportunity or that revenue opportunity class that has the best shot at paying for the trillions of dollars of capex, not consumer.

Verbatim quote

From episode "Anthropic vs. The Pentagon, Claude Outpaces ChatGPT, and Consulting Gets Replaced"
enterprise is that revenue opportunity or that revenue opportunity class that has the best shot at paying for the trillions of dollars of capex, not consumer.

Predictor: Alex Wissner-Gross

κ + Brier as of 2026-05-22
κ (discount)
0.844
Brier
0.0341
excellent
Hits / Misses
6 / 1
of 11 resolved
Hit rate
54.5%
Calibration plot (stated vs observed)

Evidence about this node from Alex Wissner-Gross 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

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

4 prob_history rows
0%25%50%75%100%prior 50%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 39.0%

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: 2 fired ✓ · 6 pending
  1. 2026-03-31hitMicrosoft AI revenue run-rate crosses $37B (123% YoY)
    How: Microsoft Q3 FY26 earnings shows AI business annual run-rate >=$37B — predominantly enterprise contracts
    Source: https://infotechlead.com/cloud/microsoft-q3-2026-revenue-hits-82-9-bn-as-ai-and-cloud-drive-growth-190-bn-capex-signals-infrastructure-push-95482conf 95%
  2. 2026-04-30hitHyperscaler AI capex hits $700B in 2026
    How: Combined Microsoft/Amazon/Google/Meta annual capex guidance for 2026 sums to >=$650B with AI-infrastructure majority
    Source: https://www.resultsense.com/news/2026-04-30-hyperscaler-ai-capex-725bnconf 97%
    Notes: HIT — Combined hyperscaler AI capex now $725B for 2026 (77% above 2025), per April 2026 reporting.
  3. 2026-11-02pendingQ1 window check-in (25%)
  4. 2026-12-31pendingPure-play AI vendor (Cohere/Mistral/Perplexity) revenue stays <$35B aggregate 2026
    How: Combined 2026 revenue of pure-play AI vendors (excluding hyperscalers) <$35B — implying enterprise SaaS spend, not consumer, dominates
    Source: https://www.heygotrade.com/en/blog/ai-capex-risk-openai-revenue-report/conf 70%
  5. 2026-06-01 → 2027-12-31pendingEnterprise AI revenue exceeds consumer AI revenue 3:1 across hyperscalers
    How: Hyperscaler segment disclosures show enterprise AI revenue (cloud, copilots, infra) >3x consumer AI revenue
    Source: https://fortune.com/2026/04/29/microsoft-meta-google-ai-capex-spending-billions/conf 75%
  6. 2027-05-07pendingQ2 window check-in (50%)
  7. 2026-09-01 → 2028-06-30pendingAI capex-to-revenue ratio compresses or hyperscaler stock multiple resets
    How: >=1 major hyperscaler experiences >=15% multiple compression attributed by analysts to AI capex/revenue mismatch
    Source: https://www.fool.com/investing/2026/04/25/the-720-billion-capex-trap-2-artificial-intelligen/conf 55%
    Notes: If enterprise revenue does NOT keep up with capex, market will reset — partial counter-evidence to thesis.
  8. 2027-11-09pendingQ3 window check-in (75%)

No downstream cascades — this prediction is a leaf in the dependency graph.

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: 39%)

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
LBP2026-05-10T02:00:02Z39.0%-1.5pp
Network propagation: 40.6% → 39.0%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z40.6%-3.1pp
Network propagation: 43.7% → 40.6%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z43.7%-2.1pp
Network propagation: 45.8% → 43.7%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z45.8%-4.2pp
Network propagation: 50.0% → 45.8%
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
prereqS_AGI_MID_2029
AGI mid: Kurzweil 2029 path
35.0%0.5000.050-0.183
killerTK12
Crypto Regulatory Kill Shot (Stablecoin Ban / BTC ETF Revers
8.0%0.0500.500+0.074
killerTK10
$100T Sovereign Debt Crisis
12.0%0.0500.500+0.056
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.500-0.025
killerTK14
Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
20.0%0.0500.500+0.020

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

29 ticker(s) linked

Beneficiaries (23)

SOUNCRCLIRBTRIOTMARASYMFANUYNVDABBAIGTLBAIABBNYAMZNCOINGOOGLHOODIBMMETAMSFTORCLSHOPTSLAXYZ

Adverse (5)

HYGEMBMUBTLTLQD

Prerequisites (6)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK10$100T Sovereign Debt Crisis
killerTK12Crypto Regulatory Kill Shot (Stablecoin Ban / BTC ETF Reversal)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2031-03-31[Capability 2031-03] t readout (likely late 2026/early 2027) [234_016] Enterprise not consumer will pay for the trillions of dollars of AI capex [242_045] AI will redesign data centers, energy supplies, and entire economypending

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=dmtvGKuRE64",
  "mode": "THESIS",
  "role": "Host",
  "context": "you've seen over the past few months Open AAI make the same discovery, which is why they've been leaning so heavily into their codeex model to compete with Claude code that enterprise is that revenue opportunity or that revenue opportunity class that has the best shot at paying for the trillions of dollars of capex, not consumer.",
  "verbatim": "enterprise is that revenue opportunity or that revenue opportunity class that has the best shot at paying for the trillions of dollars of capex, not consumer.",
  "conv_cues": "best shot",
  "direction": "HAPPEN",
  "timeframe": "Unspecified future",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Microsoft AI revenue run-rate crosses $37B (123% YoY)",
      "source": "https://infotechlead.com/cloud/microsoft-q3-2026-revenue-hits-82-9-bn-as-ai-and-cloud-drive-growth-190-bn-capex-signals-infrastructure-push-95482",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://infotechlead.com/cloud/microsoft-q3-2026-revenue-hits-82-9-bn-as-ai-and-cloud-drive-growth-190-bn-capex-signals-infrastructure-push-95482",
      "expected_date": "2026-03-31",
      "observed_date": "2026-03-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Microsoft Q3 FY26 earnings shows AI business annual run-rate >=$37B — predominantly enterprise contracts"
    },
    {
      "kind": "llm_pre_event",
      "label": "Hyperscaler AI capex hits $700B in 2026",
      "notes": "HIT — Combined hyperscaler AI capex now $725B for 2026 (77% above 2025), per April 2026 reporting.",
      "source": "https://www.resultsense.com/news/2026-04-30-hyperscaler-ai-capex-725bn",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.97,
      "source_url": "https://www.resultsense.com/news/2026-04-30-hyperscaler-ai-capex-725bn",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Combined Microsoft/Amazon/Google/Meta annual capex guidance for 2026 sums to >=$650B with AI-infrastructure majority"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2026-11-02",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Pure-play AI vendor (Cohere/Mistral/Perplexity) revenue stays <$35B aggregate 2026",
      "source": "https://www.heygotrade.com/en/blog/ai-capex-risk-openai-revenue-report/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.heygotrade.com/en/blog/ai-capex-risk-openai-revenue-report/",
      "expected_date": "2026-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Combined 2026 revenue of pure-play AI vendors (excluding hyperscalers) <$35B — implying enterprise SaaS spend, not consumer, dominates"
    },
    {
      "kind": "llm_pre_event",
      "label": "Enterprise AI revenue exceeds consumer AI revenue 3:1 across hyperscalers",
      "source": "https://fortune.com/2026/04/29/microsoft-meta-google-ai-capex-spending-billions/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.75,
      "source_url": "https://fortune.com/2026/04/29/microsoft-meta-google-ai-capex-spending-billions/",
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Hyperscaler segm
... (truncated)