← Cockpit
232_001predictionAIAI-timing

Societal change across non-Silicon Valley companies taking 1-5 years is too aggressive a timeline.

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

Prior probability
50.0%
Current probability
42.1%
evolves via intake + LBP
Conviction
3/5
Signal quality
C
Resolution
pending
Window
2027-01-01 – 2031-08-31
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Societal change across non-Silicon Valley companies taking 1-5 years is too aggressive a timeline. | I would be like very surprised just in in seeing how even companies in Silicon Valley have changed so far if companies like outside of that sphere you know just completely change everything they did uh in one to five years like I think that's a little aggressive for societal change

Verbatim quote

From episode "Ben Horowitz: xAI Executive Exodus, Apple's AI Crisis, The Pace of AI | EP #232"
I would be like very surprised just in in seeing how even companies in Silicon Valley have changed so far if companies like outside of that sphere you know just completely change everything they did uh in one to five years like I think that's a little aggressive for societal change

Predictor: Ben Horowitz

κ + Brier as of 2026-05-22
κ (discount)
0.500
Brier
Hits / Misses
0 / 0
Hit rate

Evidence about this node from Ben Horowitz 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 = 42.1%

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: 5 fired ✓ · 5 pending
  1. 2026-05-01 → 2027-12-31pendingFirst Fortune 500 non-tech company publicly attributes >20% productivity gain to AI
    How: A Fortune 500 company outside the SF Bay tech cluster discloses on earnings call or 10-K a measured productivity uplift of >=20% specifically attributed to generative-AI deployment
    Source: llm_enrichedconf 60%
  2. 2027-01-01 → 2029-06-30pendingBLS productivity statistics show first sustained acceleration above 2010s trend
    How: US Bureau of Labor Statistics nonfarm business sector labor productivity grows at >2.5% annualized for 4 consecutive quarters — well above 1.5% post-2010 trend
    Source: llm_enrichedconf 45%
  3. 2027-06-01 → 2030-06-30pendingMedian Fortune 500 capex on AI exceeds 5% of revenue
    How: Aggregated Fortune 500 10-K disclosures (compiled by Morgan Stanley, Goldman Sachs, or McKinsey) show median AI capex above 5% of revenue across non-tech sectors
    Source: llm_enrichedconf 30%
  4. 2027-06-01 → 2030-12-31pendingNet white-collar job displacement reaches >2M cumulative US
    How: Cumulative AI-attributed layoff announcements tracked by Challenger Gray + WARN filings cross 2,000,000 for white-collar roles since 2024 baseline
    Source: llm_enrichedconf 40%
  5. 2028-06-01 → 2031-06-30pendingFirst non-tech S&P 500 sector posts >10% headcount reduction year-over-year
    How: Aggregate proxy-statement headcount disclosures for an S&P 500 GICS sector outside Information Technology / Communication Services drops >=10% YoY
    Source: llm_enrichedconf 25%
  6. 2036-09-06pendingMoon base will exist in 10 years

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: 42%)

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
LBP2026-05-10T02:00:02Z42.1%-1.0pp
Network propagation: 43.2% → 42.1%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z43.2%-1.5pp
Network propagation: 44.7% → 43.2%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z44.7%-2.2pp
Network propagation: 46.9% → 44.7%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z46.9%-3.1pp
Network propagation: 50.0% → 46.9%
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
prereq234_012
Anthropic revenue will cross OpenAI revenue in middle of 202Peter Diamandis
67.1%0.5000.050-0.072
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.5000.050-0.044
prereq235_002
Anthropic will exceed OpenAI in revenue this year (2026).Dave Blundin
74.6%0.5000.050-0.040
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.5000.050-0.037
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.034

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.057
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050-0.052
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050-0.044
prereq239_008
Moon base will exist in 10 yearsElon Musk
28.8%0.5500.050-0.031
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050-0.030

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereq235_002Anthropic will exceed OpenAI in revenue this year (2026).AI
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereq234_012Anthropic revenue will cross OpenAI revenue in middle of 2026Markets/Stocks
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
prereqSEM_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq235_030Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033.Biotech/Longevity
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereqSEM_034True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'.AI/AGI
prereq239_008Moon base will exist in 10 yearsSpace

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=C1GLT9_tag0",
  "mode": "PREDICTION",
  "role": "Guest-VC",
  "caveats": "Response to Matt Schumer essay about pace of AI disruption",
  "context": "I I look I think it's um I think the AI timeline is somewhat unpredictable but kind of certainly more predictable than what he's talking about which is societal change. I think that you know it tends I would be like very surprised just in in seeing how even companies in Silicon Valley have changed so far if companies like outside of that sphere you know just completely change everything they did uh in one to five years like I think that's a little aggressive for societal change",
  "to_year": 2031,
  "verbatim": "I would be like very surprised just in in seeing how even companies in Silicon Valley have changed so far if companies like outside of that sphere you know just completely change everything they did uh in one to five years like I think that's a little aggressive for societal change",
  "conv_cues": "very surprised; a little aggressive",
  "direction": "NOT_HAPPEN",
  "from_year": 2027,
  "timeframe": "one to five years",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -10,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Anthropic revenue will cross OpenAI revenue in middle of 2026",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "234_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Anthropic will exceed OpenAI in revenue this year (2026).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "235_002",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "First Fortune 500 non-tech company publicly attributes >20% productivity gain to AI",
      "source": "llm_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.6,
      "expected_date": "2027-03-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-05-01"
      },
      "measurement_criterion": "A Fortune 500 company outside the SF Bay tech cluster discloses on earnings call or 10-K a measured productivity uplift of >=20% specifically attributed to generative-AI deployment"
    },
    {
      "kind": "llm_post_event",
      "label": "BLS productivity statistics show first sustained acceleration above 2010s trend",
      "source": "llm_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.45,
      "expected_date": "2028-03-31",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2029-06-30",
        "from": "2027-01-01"
      },
      "measurement_criterion": "US Bureau of Labor Statistics nonfarm business sector labor productivity grows at >2.5
... (truncated)