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
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
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
Calibration plot (stated vs observed)
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Reference class
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Probability over time
Milestone chain
- 2026-01-31hitAI inference cost falls >=900x per million tokens since 2023How: Inference cost on equivalent capability tier falls >=900x from early 2023 baseline; new costs <$1/M tokensSource: 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.
- 2026-04-28hitTop economist publicly cites Jevons Paradox to explain AI labor expansionHow: Major economist (Apollo Slok, Larry Summers, Goldman, etc.) publicly invokes Jevons Paradox in AI/labor analysisSource: 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.
- 2026-04-29hitAI capex spend approaches $650-725B in 2026How: Aggregate AI infrastructure capex (chips + data centers + power + networking) reaches >=$650B in 2026Source: 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.'
- 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 2024Source: 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.
- 2027-06-01 → 2028-06-30pendingBEA productivity statistics show >=2% annualized labor productivity growth sustained 6+ quartersHow: BLS nonfarm labor productivity growth runs >=2% annualized for 6+ consecutive quarters through target windowSource: 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?
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Evidence chain
Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| killer | TK05 Rate Regime Persistence (10y > 5% through 2028) | 30.0% | 0.050 | 0.550 | -0.059 |
| killer | TK04 Macro Recession 2026-27 (Structural Deleveraging) | 25.0% | 0.050 | 0.550 | -0.034 |
| killer | TK10 $100T Sovereign Debt Crisis | 12.0% | 0.050 | 0.550 | +0.031 |
| killer | TK14 Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates) | 20.0% | 0.050 | 0.550 | -0.009 |
| killer | TK07 Labor Political Backlash (UBI Mandate / AI Tax) | 18.0% | 0.050 | 0.550 | +0.001 |
Top outgoing (children)
Predictions THIS node influences
No outgoing edges.
Ticker exposure
Beneficiaries (23)
Adverse (7)
Prerequisites (5)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| killer | TK05 | Rate Regime Persistence (10y > 5% through 2028) | — | — |
| killer | TK04 | Macro Recession 2026-27 (Structural Deleveraging) | — | — |
| killer | TK14 | Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates) | — | — |
| killer | TK07 | Labor Political Backlash (UBI Mandate / AI Tax) | — | — |
| killer | TK10 | $100T Sovereign Debt Crisis | — | — |
Dependents (0)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| No dependents | ||||
Raw metadata
{
"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)