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247_013predictionLabor/Jobsjobs

99% of randomly selected white collar jobs could be replaced by AI today

Predictor: Peter Dannenberg · ep#247 "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247" · source

Prior probability
25.0%
Current probability
22.2%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-01-01 – 2026-12-31
Edges in / out
7 / 1
Tickers exposed
32

Prediction text

99% of randomly selected white collar jobs could be replaced by AI today | what are the odds that that randomly selected job can be replaced two years from today? And Peter said he thought and he gave a very thoughtful answer and he came out at like 99%.

Watch events: BLS employment reports; tech layoff trackers; Underemployment rate; Yang quarterly updates

Verbatim quote

From episode "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247"
what are the odds that that randomly selected job can be replaced two years from today? And Peter said he thought and he gave a very thoughtful answer and he came out at like 99%.

Resolution evidence

Status: pending

Peter Dannenberg (DeepMind) 99% automatable in 2y — highly aggressive even by SF standards. Not generally accepted.

Predictor: Peter Dannenberg

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

Evidence about this node from Peter Dannenberg 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

2 prob_history rows
0%25%50%75%100%prior 25%2026-04-302026-04-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 22.2%

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: 7 fired ✓ · 1 pending
  1. 2026-02-13hitMicrosoft AI chief publicly forecasts 18-month full automation timeline
    How: Microsoft AI CEO publicly states most or all white-collar tasks will be automatable within 18 months
    Source: Mustafa Suleyman / Fortune coverage Feb 2026conf 99%
  2. 2026-03-06hitAnthropic publishes white-collar automation gap report
    How: Anthropic publishes research mapping which white-collar jobs AI could potentially replace, including theoretical vs actual coverage
    Source: Anthropic / Fortune — 'Great Recession for white-collar workers' research reportconf 99%
    Notes: HIT — Anthropic published the report. Theoretical: 94% of computer/math tasks LLM-capable; Actual coverage in production: 33%. Validates 'could be replaced today' wording but undermines actual replacement happening.
  3. 2026-06-01 → 2026-12-31pendingAI-cited layoffs reach 100,000 cumulative through 2026
    How: Challenger Gray & Christmas job cut report shows cumulative AI-cited layoffs ≥100,000 in 2026
    Source: Challenger, Gray & Christmas monthly job cut reportsconf 70%
    Notes: 12,000 already announced by April 2026; 100K is plausible by year-end. Test of 'replacement happening today' vs theoretical capability.
  4. 2026-08-01 → 2027-02-28pendingBLS productivity data shows white-collar sector productivity surge
    How: BLS reports >5% annualized productivity growth in information/professional services sectors over a 4-quarter window
    Source: BLS Productivity & Costs releasesconf 45%
  5. 2027-01-01 → 2027-12-31pendingWEF Future of Jobs report quantifies structural displacement
    How: World Economic Forum Future of Jobs report quantifies AI-displaced white-collar jobs ≥10M in 2025-2027 window
    Source: World Economic Forum Future of Jobs Reportconf 55%

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: 22%)

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
LBP2026-04-30T16:39:51Z22.2%-1.1pp
Network propagation: 23.4% → 22.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z23.4%-1.6pp
Network propagation: 25.0% → 23.4%
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
prereq247_058
Jury selection begins April 27, 2026 for Musk v OpenAI trialPeter Diamandis
71.4%0.2500.050-0.032
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.2500.050-0.027
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.2500.050-0.024
killerTK04
Macro Recession 2026-27 (Structural Deleveraging)
25.0%0.0500.250-0.022
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.2500.050-0.020

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq234_036
Job displacement will be issue 6-10 not top 5 in 10 years; AAlex Wissner-Gross
28.8%0.4500.050-0.153

Ticker exposure

32 ticker(s) linked

Beneficiaries (23)

ADUSCOURDOCNFROGGTLBINODPLROLSPIRSRFMUDMYTEAMNFLXPLTRRDDTUBERAMZNBABASPOTGDDYGOOGLMETAMSFT

Adverse (6)

RHIBXPSLGMANKFYTNET

Prerequisites (7)

Predictions that must hit first
TypePredTitleDomainLag
prereq247_058Jury selection begins April 27, 2026 for Musk v OpenAI trialAI
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereq238_009Recursive self-improvement is already happening now (no longer three years out)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
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK07Labor Political Backlash (UBI Mandate / AI Tax)

Dependents (1)

Predictions enabled by this
TypePredTitleDomainLag
prereq234_036Job displacement will be issue 6-10 not top 5 in 10 years; AI discoveries will dominateLabor/Jobs

Linked documents (5)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.606manifoldDo you like 2% odds?2%mentionspending2026-05-18
0.597manifoldDo you like 96% odds?96%mentionspending2026-05-04
0.588manifoldDo you like 46% odds?46%mentionspending2026-05-31
0.584manifoldDo you like 54% odds?54%mentionspending2026-05-11
0.581manifoldDo you like 4% odds?4%mentionspending2026-04-27

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "99% replaceable",
  "url": "https://www.youtube.com/watch?v=5ak26W2YNRY",
  "mode": "CITED_PREDICTION",
  "role": "Cited-Executive",
  "context": "if you take a random white collar worker today, what are the odds that that randomly selected job can be replaced two years from today?...Peter said...he came out at like 99%",
  "to_year": 2026,
  "cited_by": "Dave Blundin",
  "verbatim": "what are the odds that that randomly selected job can be replaced two years from today? And Peter said he thought and he gave a very thoughtful answer and he came out at like 99%.",
  "conv_cues": "99%",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "Today (2026)",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Microsoft AI chief publicly forecasts 18-month full automation timeline",
      "source": "Mustafa Suleyman / Fortune coverage Feb 2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://fortune.com/2026/02/13/when-will-ai-kill-white-collar-office-jobs-18-months-microsoft-mustafa-suleyman/",
      "expected_date": "2026-02-13",
      "observed_date": "2026-02-13",
      "research_origin": "deep_research",
      "measurement_criterion": "Microsoft AI CEO publicly states most or all white-collar tasks will be automatable within 18 months"
    },
    {
      "kind": "llm_pre_event",
      "label": "Anthropic publishes white-collar automation gap report",
      "notes": "HIT — Anthropic published the report. Theoretical: 94% of computer/math tasks LLM-capable; Actual coverage in production: 33%. Validates 'could be replaced today' wording but undermines actual replacement happening.",
      "source": "Anthropic / Fortune — 'Great Recession for white-collar workers' research report",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://fortune.com/2026/03/06/ai-job-losses-report-anthropic-research-great-recession-for-white-collar-workers/",
      "expected_date": "2026-03-06",
      "observed_date": "2026-03-06",
      "research_origin": "deep_research",
      "measurement_criterion": "Anthropic publishes research mapping which white-collar jobs AI could potentially replace, including theoretical vs actual coverage"
    },
    {
      "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": -6,
      "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": -5,
      "source_id": "SEM_008",
      "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": -4,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Jury selection begins April 27, 2026 for Musk v OpenAI trial",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -3,
      "source_id": "247_058",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Recursive self-improvement is already happening now (no longer three years out)",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -2,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {

... (truncated)