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232_042predictionMacro/Economyeconomy

GDP expands massively as intelligence becomes infrastructure; Jevons paradox will apply to AI.

Predictor: Salim Ismail · ep#232 "Ben Horowitz: xAI Executive Exodus, Apple's AI Crisis, The Pace of AI | EP #232" · source

Prior probability
55.0%
Current probability
45.9%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2028-06-01 – 2028-06-30
Edges in / out
5 / 0
Tickers exposed
31

Prediction text

GDP expands massively as intelligence becomes infrastructure; Jevons paradox will apply to AI. | AI drives marginal cost towards zero which expands consumption rather than shrinks it. So we'll have Javon's paradox where we'll do so much more. ... Historically, every major productivity leap created more demand than it destroyed. Electricity, the internet, productivity, mobility, AI is just the steepest version of all of this. So, the holiday isn't funded by wages, it's funded by abundance. So, when intelligence becomes uh infrastructure, GDP expands massively.

Verbatim quote

From episode "Ben Horowitz: xAI Executive Exodus, Apple's AI Crisis, The Pace of AI | EP #232"
AI drives marginal cost towards zero which expands consumption rather than shrinks it. So we'll have Javon's paradox where we'll do so much more. ... Historically, every major productivity leap created more demand than it destroyed. Electricity, the internet, productivity, mobility, AI is just the steepest version of all of this. So, the holiday isn't funded by wages, it's funded by abundance. So, when intelligence becomes uh infrastructure, GDP expands massively.

Predictor: Salim Ismail

κ + Brier as of 2026-05-22
κ (discount)
0.643
Brier
0.0144
excellent
Hits / Misses
1 / 0
of 2 resolved
Hit rate
50.0%
Calibration plot (stated vs observed)

Evidence about this node from Salim Ismail 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

3 prob_history rows
0%25%50%75%100%prior 55%2026-04-302026-04-302026-05-03
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 45.9%

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 pending
  1. 2026-01-31hitAI inference cost falls >=900x per million tokens since 2023
    How: Inference cost on equivalent capability tier falls >=900x from early 2023 baseline; new costs <$1/M tokens
    Source: Brownstone Research: Cost of Intelligence; arXiv: Economics of Digital Intelligence Capitalconf 92%
    Notes: HIT — 900x annual decline confirmed. Marginal cost approaching zero — Jevons trigger condition.
  2. 2026-04-28hitTop economist publicly cites Jevons Paradox to explain AI labor expansion
    How: Major economist (Apollo Slok, Larry Summers, Goldman, etc.) publicly invokes Jevons Paradox in AI/labor analysis
    Source: Fortune: A 160-year-old paradox explains why AI will create more lawyers and accountants — Torsten Slokconf 99%
    Notes: HIT — Apollo's Torsten Slok explicitly framed AI through Jevons Paradox in Fortune Apr 2026. Direct mainstream confirmation of Ismail's thesis.
  3. 2026-04-29hitAI capex spend approaches $650-725B in 2026
    How: Aggregate AI infrastructure capex (chips + data centers + power + networking) reaches >=$650B in 2026
    Source: Citadel 2026 Global Intelligence Crisis; Tom's Hardware $725B big tech capexconf 95%
    Notes: HIT — Citadel reported $650B AI capex; Big Tech alone hit $725B. Massive infrastructure layer for 'intelligence as infrastructure.'
  4. 2026-12-31pendingAI inference industry spend exceeds $50B in 2026 (Jevons rebound)
    How: Industry analyst (Citadel, BCG, McKinsey) confirms >=$50B annual spend on AI inference in 2026 vs ~$10B in 2024
    Source: Citadel Securities: 2026 Global Intelligence Crisisconf 85%
    Notes: Direct Jevons paradox evidence — cost-per-token fell 900x but total spend exploded. Inference > training spend in 2026.
  5. 2027-06-01 → 2028-06-30pendingBEA productivity statistics show >=2% annualized labor productivity growth sustained 6+ quarters
    How: BLS nonfarm labor productivity growth runs >=2% annualized for 6+ consecutive quarters through target window
    Source: BLS Labor Productivity, BEA NIPAconf 55%
    Notes: Macro test of 'GDP expands massively as intelligence becomes infrastructure' — productivity is the transmission channel.

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: 46%)

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
LBP2026-05-03T02:00:01Z45.9%-1.4pp
Network propagation: 47.3% → 45.9%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z47.3%-2.6pp
Network propagation: 49.9% → 47.3%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z49.9%-5.1pp
Network propagation: 55.0% → 49.9%
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
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.550-0.059
killerTK04
Macro Recession 2026-27 (Structural Deleveraging)
25.0%0.0500.550-0.034
killerTK10
$100T Sovereign Debt Crisis
12.0%0.0500.550+0.031
killerTK14
Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
20.0%0.0500.550-0.009
killerTK07
Labor Political Backlash (UBI Mandate / AI Tax)
18.0%0.0500.550+0.001

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

31 ticker(s) linked

Beneficiaries (23)

UDMYBBAISRFMSOUNNVDACOURCRCLDOCNAIADUSGTLBZMAMZNGDDYGOOGLIBMMETAMSFTNFLXORCLRDDTSPOTUBER

Adverse (7)

KKRJNKAPOHYGKREXLYXHB

Prerequisites (5)

Predictions that must hit first
TypePredTitleDomainLag
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK07Labor Political Backlash (UBI Mandate / AI Tax)
killerTK10$100T Sovereign Debt Crisis

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=C1GLT9_tag0",
  "mode": "THESIS",
  "role": "Host",
  "context": "we're configuring confusing a labor economy with a productivity economy, right? uh AI drives marginal cost towards zero which expands consumption rather than shrinks it. So we'll have Javon's paradox where we'll do so much more. We'll see already AI taking over boring white collar u um redundancy and white collar boringness as as Eric Bernie Olson talks about it and then we'll see humans moving towards the much more uh value added roles and that'll happen kind of across every sector. Historically, every major productivity leap created more demand than it destroyed.",
  "to_year": 2031,
  "verbatim": "AI drives marginal cost towards zero which expands consumption rather than shrinks it. So we'll have Javon's paradox where we'll do so much more. ... Historically, every major productivity leap created more demand than it destroyed. Electricity, the internet, productivity, mobility, AI is just the steepest version of all of this. So, the holiday isn't funded by wages, it's funded by abundance. So, when intelligence becomes uh infrastructure, GDP expands massively.",
  "direction": "UP",
  "from_year": 2026,
  "timeframe": "unspecified future",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "AI inference cost falls >=900x per million tokens since 2023",
      "notes": "HIT — 900x annual decline confirmed. Marginal cost approaching zero — Jevons trigger condition.",
      "source": "Brownstone Research: Cost of Intelligence; arXiv: Economics of Digital Intelligence Capital",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.92,
      "source_url": "https://arxiv.org/html/2601.12339",
      "expected_date": "2026-02-28",
      "observed_date": "2026-01-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Inference cost on equivalent capability tier falls >=900x from early 2023 baseline; new costs <$1/M tokens"
    },
    {
      "kind": "llm_pre_event",
      "label": "Top economist publicly cites Jevons Paradox to explain AI labor expansion",
      "notes": "HIT — Apollo's Torsten Slok explicitly framed AI through Jevons Paradox in Fortune Apr 2026. Direct mainstream confirmation of Ismail's thesis.",
      "source": "Fortune: A 160-year-old paradox explains why AI will create more lawyers and accountants — Torsten Slok",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://fortune.com/2026/04/28/will-ai-kill-jobs-why-not-jevons-paradox-torsten-slok/",
      "expected_date": "2026-04-28",
      "observed_date": "2026-04-28",
      "research_origin": "deep_research",
      "measurement_criterion": "Major economist (Apollo Slok, Larry Summers, Goldman, etc.) publicly invokes Jevons Paradox in AI/labor analysis"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI capex spend approaches $650-725B in 2026",
      "notes": "HIT — Citadel reported $650B AI capex; Big Tech alone hit $725B. Massive infrastructure layer for 'intelligence as infrastructure.'",
      "source": "Citadel 2026 Global Intelligence Crisis; Tom's Hardware $725B big tech capex",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.tomshardware.com/tech-industry/big-tech/big-techs-ai-spending-plans-reach-725-billion",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-29",
      "research_origin": "deep_research",
      "measurement_criterion": "Aggregate AI infrastructure capex (chips + data centers + power + networking) reaches >=$650B in 2026"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI inference industry spend exceeds $50B in 2026 (Jevons rebound)",
      "notes": "Direct Jevon
... (truncated)