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ROB_015predictionLabor/Jobscompressed-industrial-revolution-3yr

The 2025-2028 period is defined by massive automation/job displacement equivalent to 25 years of Industrial Revolution economic upheaval compressed into 3 traumatic years — followed by the dawn of the 'Agentic Era' in 2027 where autonomous AI agents pa...

Predictor: Peter Diamandis

Prior probability
42.0%
Current probability
37.7%
evolves via intake + LBP
Conviction
5/5
Signal quality
B
Resolution
pending
Window
2025-01-01 – 2028-12-31
Edges in / out
5 / 0
Tickers exposed
4

Prediction text

The 2025-2028 period is defined by massive automation/job displacement equivalent to 25 years of Industrial Revolution economic upheaval compressed into 3 traumatic years — followed by the dawn of the 'Agentic Era' in 2027 where autonomous AI agents partner with humans to drive exponential discovery and entirely new economic models. | Next Challenger Gray or ADP employment-dislocation magnitude

Key catalyst: Next Challenger Gray or ADP employment-dislocation magnitude

Watch events: Employment-dislocation metrics vs historical transitions (1870s/1920s/1990s)

Resolution evidence

Status: pending

Diamandis Abundance360 / Moonshots predictions 2025-2026 confirm framing; magnitude of dislocation tracking mid-range of consensus.

Predictor: Peter Diamandis

κ + Brier as of 2026-05-22
κ (discount)
0.875
Brier
0.0367
excellent
Hits / Misses
10 / 0
of 15 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Peter Diamandis 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 42%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 37.7%

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: 1 fired ✓ · 1 overdue ⏱ · 6 pending
  1. 2025-10-01overdueQ1 window check-in (25%)
  2. 2026-03-05hitAnthropic Economic Index Mar 2026 finds limited AI-driven displacement
    How: Anthropic publishes 'Labor market impacts of AI' showing observed exposure has not yet caused systematic unemployment increase in heavily-exposed jobs
    Source: https://www.anthropic.com/research/labor-market-impacts — Anthropic labor market research March 2026conf 99%
    Notes: HIT (mixed for thesis) — confirms exposure but rejects 'massive displacement' framing for 2025-26 portion of Diamandis window.
  3. 2026-07-02pendingQ2 window check-in (50%)
  4. 2026-06-01 → 2027-12-31pendingChallenger Gray attributes >=200K layoffs to AI in single year
    How: Challenger Gray monthly layoff report cumulative AI-attributed cuts >=200K in trailing 12 months (2025 baseline ~50K)
    Source: https://www.anthropic.com/research/labor-market-impacts — Anthropic citing Challenger Gray AI 2025 attributionconf 55%
    Notes: Diamandis's 25-years-in-3-years claim would require 4-5x the current AI layoff attribution rate.
  5. 2027-04-02pendingQ3 window check-in (75%)
  6. 2026-06-01 → 2028-06-30pendingADP youth-cohort employment in computer/math drops >=10% YoY
    How: ADP-derived employment levels for workers age 22-30 in computer/math occupations decline >=10% year-over-year (Brynjolfsson 2025 framework)
    Source: https://fortune.com/2026/03/06/ai-job-losses-report-anthropic-research-great-recession-for-white-collar-workers/ — Anthropic + Brynjolfsson framingconf 40%
  7. 2026-09-01 → 2028-06-30pendingFirst quarter of US unemployment rate >=6% with AI cited as primary driver
    How: BLS U-3 unemployment rate exceeds 6% for full quarter with Fed/Treasury/CEA officials citing AI displacement as material driver
    Source: https://www.cnbc.com/2026/01/27/dario-amodei-warns-ai-cause-unusually-painful-disruption-jobs.html — Amodei warning of unusually painful disruptionconf 25%
  8. 2027-01-01 → 2028-12-31pendingDiamandis 'Agentic Era' marker — autonomous agents drive >=10% of GDP
    How: BEA, McKinsey, or Anthropic Economic Index reports autonomous AI agents responsible for >=10% of US GDP / business decision-making
    Source: https://builtin.com/articles/anthropic-economic-index-2026-ai-jobs-report — Anthropic Economic Index trajectoryconf 20%
    Notes: Cascade — Diamandis's positive flip ('agentic era partnership') is harder to measure than the negative leg ('25 years compressed'). Both legs improbable in stated 3-year window.

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: 38%)

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
LBP2026-05-10T02:00:02Z37.7%+1.9pp
Network propagation: 35.8% → 37.7%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z35.8%+3.6pp
Network propagation: 32.3% → 35.8%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
metadata_milestone_miss_sweep2026-05-02T22:07:21Z32.3%-8.1pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.323 blend=0.323 LLR=-0.352 κ=0.87 no_blend
Raw metadata
{
  "trf": 0.6664919347394406,
  "kappa": 0.8684,
  "base_rate": null,
  "predictor": "Peter Diamandis",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.38983956727083446,
  "bayes_factor": "1.4:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.4037559222131394,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.8684,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.35210589988112995,
      "expected_date": "2025-10-01",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5334556456823916,
  "outside_weight": 0.46654435431760843,
  "posterior_prob": 0.32257887023279375,
  "posterior_logit": -0.7419454671519644,
  "predictor_brier": 0.02669,
  "inside_posterior": 0.32257887023279375,
  "blended_posterior": 0.32257887023279375,
  "reference_class_id": null,
  "total_adjusted_llr": -0.35210589988112995,
  "predictor_n_resolved": 14
}
LBP2026-04-30T02:18:57Z40.4%-1.6pp
Network propagation: 42.0% → 40.4%
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
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.420+0.013
killerTK11
Autonomous Regulatory Block (Level 4 Halt)
10.0%0.0500.420+0.006

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

4 ticker(s) linked

Adverse (4)

ALLPGRTRVUBER

Prerequisites (5)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_AGI_FAST_2027AGI fast: drop-in remote worker by 2027-09agi_general_capability
correlateS_RECESSION_2028NBER recession declared 2028macro_recession
correlateS_AI_PAUSE_2028AI pause beginning 2028ai_regulatory_pause
killerTK11Autonomous Regulatory Block (Level 4 Halt)
killerTK06China-Taiwan Military Conflict

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2028-12-31[Labor/Policy 2028-12] elligence-native reorganization cadence [ROB_015] Employment-dislocation metrics vs historical transitions (1870s/1920s/1990s)pending

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.591manifoldHow many Prime ministers will the UK have before 2028?mentionspending2026-05-15

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "25yr compressed into 3",
  "mode": "FORECAST",
  "role": "Cited-VC",
  "context": "Distinct Diamandis labor-timing framing. Couples with AI_021 (Yang Great Disemboweling), ROB_014 (Yang 40M), CYB_014 (Ismail ExO), SPC_028 (Ismail/Blundin 1.1M).",
  "to_year": 2028,
  "conv_cues": "specific compression ratio; named era",
  "direction": "HAPPEN",
  "from_year": 2025,
  "timeframe": "2025-2028",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -8,
      "source_id": null,
      "expected_date": "2025-10-01",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Anthropic Economic Index Mar 2026 finds limited AI-driven displacement",
      "notes": "HIT (mixed for thesis) — confirms exposure but rejects 'massive displacement' framing for 2025-26 portion of Diamandis window.",
      "source": "https://www.anthropic.com/research/labor-market-impacts — Anthropic labor market research March 2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.anthropic.com/research/labor-market-impacts",
      "expected_date": "2026-03-15",
      "observed_date": "2026-03-05",
      "research_origin": "deep_research",
      "measurement_criterion": "Anthropic publishes 'Labor market impacts of AI' showing observed exposure has not yet caused systematic unemployment increase in heavily-exposed jobs"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2026-07-02",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Challenger Gray attributes >=200K layoffs to AI in single year",
      "notes": "Diamandis's 25-years-in-3-years claim would require 4-5x the current AI layoff attribution rate.",
      "source": "https://www.anthropic.com/research/labor-market-impacts — Anthropic citing Challenger Gray AI 2025 attribution",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.anthropic.com/research/labor-market-impacts",
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Challenger Gray monthly layoff report cumulative AI-attributed cuts >=200K in trailing 12 months (2025 baseline ~50K)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2027-04-02",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "ADP youth-cohort employment in computer/math drops >=10% YoY",
      "source": "https://fortune.com/2026/03/06/ai-job-losses-report-anthropic-research-great-recession-for-white-collar-workers/ — Anthropic + Brynjolfsson framing",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.4,
      "source_url": "https://fortune.com/2026/03/06/ai-job-losses-report-anthropic-research-great-recession-for-white-collar-workers/",
      "expected_date": "2027-06-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "ADP-derived employment levels for workers age 22-30 in computer/math occupations decline >=10% year-over-year (Brynjolfsson 20
... (truncated)