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235_012predictionMarkets/StocksAI-timing

Large companies cannot pivot rapidly enough; zero ability to change.

Predictor: Salim Ismail · ep#235 "Amazon's $35B AGI Ultimatum to OpenAI & Anthropic Drops AI Safety | EP #235" · source

Prior probability
60.0%
Current probability
50.8%
evolves via intake + LBP
Conviction
5/5
Signal quality
C
Resolution
pending
Window
2028-06-01 – 2028-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Large companies cannot pivot rapidly enough; zero ability to change. | See, do you think that we can see large companies pivoting, you know, rapidly enough? >> Zero zero. >> They will not be able to do it.

Verbatim quote

From episode "Amazon's $35B AGI Ultimatum to OpenAI & Anthropic Drops AI Safety | EP #235"
See, do you think that we can see large companies pivoting, you know, rapidly enough? >> Zero zero. >> They will not be able to do it.

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

4 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 50.8%

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: 9 fired ✓ · 1 pending
  1. 2025-08-18hitMIT report: 95% of generative AI pilots at companies failing to show financial value
    How: MIT-published research finds ≥95% of enterprise generative AI pilots fail to show measurable financial value within six months
    Source: https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/conf 99%
    Notes: HIT — exact match for Salim Ismail's 'large companies cannot pivot' thesis. Strongest possible quantitative endorsement.
  2. 2025-12-31hit42% of Fortune 500 companies abandon most AI projects in 2025 (vs 17% in 2024)
    How: Published survey shows 42% of Fortune 500 companies abandoned majority of AI projects in calendar 2025
    Source: https://www.raisesummit.com/post/roi-dilemma-fortune-500-leaders-measuring-ai-value-2026conf 95%
    Notes: HIT — abandonment rate 2.5x increase YoY. Direct evidence large companies failing to execute AI transitions.
  3. 2025-12-31hitInternal AI builds succeed 1/3 as often as vendor partnerships — incumbent execution gap
    How: MIT/research finding that internal AI builds at large companies succeed at ~22% vs ~67% for vendor-partnership approaches
    Source: https://www.raisesummit.com/post/roi-dilemma-fortune-500-leaders-measuring-ai-value-2026conf 85%
    Notes: Reinforces Ismail's 'zero ability to change' — internal-build (the canonical incumbent path) fails 3x more often.
  4. 2026-04-30hitMeta cuts 8,000 employees at $35B+ AI capex (2026 large-cap pivot attempt)
    How: Meta announces ≥8000 layoffs while committing >$30B AI infrastructure capex in same fiscal year
    Source: https://tech-insider.org/meta-layoffs-8000-employees-135-billion-ai-capex-2026/conf 90%
    Notes: Even tech-native incumbents can only pivot via mass headcount swap — not graceful transition.
  5. 2026-06-01 → 2028-06-30pending≥3 of top-10 incumbent retailers/banks/automakers go through CEO ouster citing AI strategy failure
    How: ≥3 Fortune 100 incumbent CEOs (retail/banking/auto) ousted with explicit AI strategy mismanagement cited
    Source: WSJ executive turnover tracking, board press releasesconf 50%
  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: 51%)

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
LBP2026-05-10T02:00:02Z50.8%-1.2pp
Network propagation: 51.9% → 50.8%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z51.9%-1.8pp
Network propagation: 53.7% → 51.9%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z53.7%-2.5pp
Network propagation: 56.2% → 53.7%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z56.2%-3.8pp
Network propagation: 60.0% → 56.2%
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
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6000.050-0.057
prereq235_038
David Sinclair begins partial epigenetic reprogramming trialPeter Diamandis
74.0%0.6000.050-0.055
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6000.050-0.049
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.6000.050-0.039
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.037

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050+0.013
prereq239_008
Moon base will exist in 10 yearsElon Musk
28.8%0.5500.050+0.012
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.008
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050+0.008
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.006

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq235_038David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.Biotech/Longevity
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
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=T8X6kp-pcKs",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "See, do you think that we can see large companies pivoting, you know, rapidly enough? Zero zero. They will not be able to do it. I mean look, we've seen this throughout history.",
  "to_year": 2030,
  "verbatim": "See, do you think that we can see large companies pivoting, you know, rapidly enough? >> Zero zero. >> They will not be able to do it.",
  "conv_cues": "Zero zero; will not",
  "direction": "NOT_HAPPEN",
  "from_year": 2026,
  "timeframe": "near term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "MIT report: 95% of generative AI pilots at companies failing to show financial value",
      "notes": "HIT — exact match for Salim Ismail's 'large companies cannot pivot' thesis. Strongest possible quantitative endorsement.",
      "source": "https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/",
      "expected_date": "2025-08-18",
      "observed_date": "2025-08-18",
      "research_origin": "deep_research",
      "measurement_criterion": "MIT-published research finds ≥95% of enterprise generative AI pilots fail to show measurable financial value within six months"
    },
    {
      "kind": "llm_pre_event",
      "label": "42% of Fortune 500 companies abandon most AI projects in 2025 (vs 17% in 2024)",
      "notes": "HIT — abandonment rate 2.5x increase YoY. Direct evidence large companies failing to execute AI transitions.",
      "source": "https://www.raisesummit.com/post/roi-dilemma-fortune-500-leaders-measuring-ai-value-2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.raisesummit.com/post/roi-dilemma-fortune-500-leaders-measuring-ai-value-2026",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Published survey shows 42% of Fortune 500 companies abandoned majority of AI projects in calendar 2025"
    },
    {
      "kind": "llm_pre_event",
      "label": "Internal AI builds succeed 1/3 as often as vendor partnerships — incumbent execution gap",
      "notes": "Reinforces Ismail's 'zero ability to change' — internal-build (the canonical incumbent path) fails 3x more often.",
      "source": "https://www.raisesummit.com/post/roi-dilemma-fortune-500-leaders-measuring-ai-value-2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.raisesummit.com/post/roi-dilemma-fortune-500-leaders-measuring-ai-value-2026",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "MIT/research finding that internal AI builds at large companies succeed at ~22% vs ~67% for vendor-partnership approaches"
    },
    {
      "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": -7,
      "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": -6,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "p
... (truncated)