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INF_028predictionLabor/Jobswhite-collar-automation

AI will render approximately 99% of white-collar jobs replaceable within two years — cognitive-labor costs will mathematically approach the marginal cost of electricity required to generate inference.

Predictor: Dave Blundin

Prior probability
15.0%
Current probability
13.9%
evolves via intake + LBP
Conviction
5/5
Signal quality
C
Resolution
pending
Window
2027-01-01 – 2028-12-31
Edges in / out
2 / 0
Tickers exposed
24

Prediction text

AI will render approximately 99% of white-collar jobs replaceable within two years — cognitive-labor costs will mathematically approach the marginal cost of electricity required to generate inference. | BLS white-collar layoff waves

Key catalyst: BLS white-collar layoff waves

Watch events: BLS white-collar employment data; enterprise AI adoption surveys

Resolution evidence

Status: pending

GDPval-class benchmarks show AI matching human experts on narrow tasks; full replacement far from 99%.

Predictor: Dave Blundin

κ + Brier as of 2026-05-22
κ (discount)
0.821
Brier
0.0491
excellent
Hits / Misses
3 / 2
of 9 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dave Blundin 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

1 prob_history rows
0%25%50%75%100%prior 15%2026-04-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 13.9%

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: 2 fired ✓ · 5 pending
  1. 2026-03-06hitAnthropic Economic Index maps job-by-job AI displacement feasibility
    How: Anthropic publishes Economic Index mapping AI feasibility across white-collar occupations
    Source: https://fortune.com/2026/03/06/ai-job-losses-report-anthropic-research-great-recession-for-white-collar-workers/conf 95%
  2. 2026-03-31hitTech sector single-month layoffs exceed 45K (March 2026 worst month in 2 years)
    How: Challenger Gray confirms tech sector layoffs exceed 45K in single month with explicit AI commentary
    Source: https://metatrends.substack.com/p/how-we-get-to-abundance-by-2035-andconf 95%
    Notes: HIT — 45,800 tech layoffs in March 2026 confirms direction toward Blundin's '99% replaceable' thesis.
  3. 2026-06-01 → 2027-06-30pendingBLS reports >5% YoY decline in entry-level white-collar job postings
    How: BLS JOLTS or LinkedIn Workforce Report shows >5% YoY decline in entry-level white-collar postings (legal assistants, financial analysts, software engineers, marketing assistants)
    Source: https://www.mindstudio.ai/blog/ai-job-displacement-white-collar-employment-dataconf 70%
    Notes: Amodei warned 50% of entry-level white-collar at risk in 5 years.
  4. 2027-05-11pendingQ1 window check-in (25%)
  5. 2027-06-01 → 2027-12-31pendingInference cost-per-token drops 10x further by end-2027 (toward electricity floor)
    How: Stanford AI Index or NVIDIA economics tracker shows further 10x decline in cost-per-million-tokens for frontier-equivalent capability vs Q1 2026 baseline
    Source: https://www.spheron.network/blog/ai-inference-cost-economics-2026/conf 65%
  6. 2027-09-18pendingQ2 window check-in (50%)
  7. 2028-01-26pendingQ3 window check-in (75%)
  8. 2027-12-31 → 2028-12-31pendingMajor economic-policy report attributes >10% white-collar attrition to AI
    How: OECD / CEA / Federal Reserve research note attributes >10% of US white-collar net job loss explicitly to AI substitution effect
    Source: https://privatebank.jpmorgan.com/nam/en/insights/markets-and-investing/ideas-and-insights/job-destroyer-heres-what-you-need-to-know-about-ai-and-labor-marketsconf 40%
    Notes: Blundin's 99% in 2y is aggressive; 10% with policy attribution is the falsifiable midpoint.

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: 14%)

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
LBP2026-04-30T02:18:57Z13.9%-1.1pp
Network propagation: 15.0% → 13.9%
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
killerTK04
Macro Recession 2026-27 (Structural Deleveraging)
25.0%0.0500.150-0.014
killerTK07
Labor Political Backlash (UBI Mandate / AI Tax)
18.0%0.0500.150-0.007

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

24 ticker(s) linked

Beneficiaries (13)

FLNCFSLRARGANSITMVRTGEVSBGSYHUBBHTHIYCMIPWRSMNEYETN

Adverse (5)

ACNCTSHIBMINFYWNS

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK07Labor Political Backlash (UBI Mandate / AI Tax)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (4)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "~99% replaceable",
  "mode": "FORECAST",
  "role": "Cited-Other",
  "context": "Blundin's aggressive timeline stated on Moonshots Podcast. Corroborated by Aschenbrenner: by 2025-2026 models outpace college graduates in complex reasoning; by 2027 AI researchers and software engineers themselves are automated.",
  "to_year": 2028,
  "conv_cues": "aggressive timeline; explicit percentage",
  "direction": "NUMERIC_TARGET",
  "from_year": 2027,
  "timeframe": "by 2027-2028",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Anthropic Economic Index maps job-by-job AI displacement feasibility",
      "source": "https://fortune.com/2026/03/06/ai-job-losses-report-anthropic-research-great-recession-for-white-collar-workers/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.95,
      "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 Economic Index mapping AI feasibility across white-collar occupations"
    },
    {
      "kind": "llm_pre_event",
      "label": "Tech sector single-month layoffs exceed 45K (March 2026 worst month in 2 years)",
      "notes": "HIT — 45,800 tech layoffs in March 2026 confirms direction toward Blundin's '99% replaceable' thesis.",
      "source": "https://metatrends.substack.com/p/how-we-get-to-abundance-by-2035-and",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://metatrends.substack.com/p/how-we-get-to-abundance-by-2035-and",
      "expected_date": "2026-03-31",
      "observed_date": "2026-03-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Challenger Gray confirms tech sector layoffs exceed 45K in single month with explicit AI commentary"
    },
    {
      "kind": "llm_pre_event",
      "label": "BLS reports >5% YoY decline in entry-level white-collar job postings",
      "notes": "Amodei warned 50% of entry-level white-collar at risk in 5 years.",
      "source": "https://www.mindstudio.ai/blog/ai-job-displacement-white-collar-employment-data",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.mindstudio.ai/blog/ai-job-displacement-white-collar-employment-data",
      "expected_date": "2026-12-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "BLS JOLTS or LinkedIn Workforce Report shows >5% YoY decline in entry-level white-collar postings (legal assistants, financial analysts, software engineers, marketing assistants)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2027-05-11",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Inference cost-per-token drops 10x further by end-2027 (toward electricity floor)",
      "source": "https://www.spheron.network/blog/ai-inference-cost-economics-2026/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.65,
      "source_url": "https://www.spheron.network/blog/ai-inference-cost-economics-2026/",
      "expected_date": "2027-09-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2027-06-01"
      },
      "measurement_criterion": "Stanford AI Index or NVIDIA economics tracker shows further 10x decline in
... (truncated)