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SPC_028predictionLabor/Jobscorporate-collapse-1.1M-jobs

Ismail and Blundin forecast widespread corporate collapses in 2025-2026 for traditional institutions failing to integrate agentic models — massive job displacement of over 1.1 million knowledge workers as AI automates their roles.

Predictor: Salim Ismail

Prior probability
45.0%
Current probability
37.1%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2025-01-01 – 2026-12-31
Edges in / out
4 / 0
Tickers exposed
0

Prediction text

Ismail and Blundin forecast widespread corporate collapses in 2025-2026 for traditional institutions failing to integrate agentic models — massive job displacement of over 1.1 million knowledge workers as AI automates their roles. | Next Challenger Gray AI-layoff report

Key catalyst: Next Challenger Gray AI-layoff report

Watch events: BLS mass-layoff statistics; Challenger Gray quarterly AI-attributed job cuts

Resolution evidence

Status: pending

BLS, Challenger Gray & Christmas 2025-2026 job-cut data show rising AI-attributed layoffs; 1.1M specific figure at upper bound of forecasts.

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

7 prob_history rows
0%25%50%75%100%prior 45%2026-04-302026-05-032026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 37.1%

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: 1 fired ✓ · 3 overdue ⏱
  1. 2025-06-03overdueQ1 window check-in (25%)
  2. 2025-11-04overdueQ2 window check-in (50%)
  3. 2026-04-06overdueQ3 window check-in (75%)
  4. 2026-04-15hitTech industry layoffs reach ~80,000 in Q1 2026 with ~50% AI-attributable
    How: Tech-industry layoff trackers report ≥75,000 tech employees laid off in Q1 2026 with ≥40% explicitly attributed to AI efficiency
    Source: Tom's Hardware — Tech industry lays off nearly 80,000 employees in Q1 2026 — almost 50% from AIconf 95%
  5. 2026-06-01 → 2026-12-31pendingMajor Fortune-500 company files Chapter 11 with AI-non-adoption as material factor
    How: At least one Fortune 500 company files Chapter 11 bankruptcy where reorganization filing or analyst commentary cites failure to integrate AI/agentic models as material driver
    Source: Substack — The Corporate Collapse of 2026 (Mikhail Shcheglov)conf 45%
    Notes: 'Widespread corporate collapses' is the strongest part of the claim. One named F500 Chapter 11 with AI as factor would substantiate.
  6. 2026-07-01 → 2026-12-31pendingChallenger Gray AI-layoff report shows month-over-month acceleration in H2 2026
    How: Challenger Gray monthly job-cut reports show AI-attributed layoffs accelerating month-over-month for ≥3 consecutive months in H2 2026
    Source: Fortune — Tech has a ton of layoffs and AI disruption (April 2026)conf 65%
  7. 2026-09-01 → 2026-12-31pendingCumulative AI-attributed layoffs cross 502,000 in 2026 economy-wide
    How: Bloomberg / Challenger Gray track cumulative AI-attributed layoffs ≥500,000 economy-wide in 2026 calendar year
    Source: Tech-Insider — Tech Layoffs 2026: How AI Is Driving the Biggest Workforce Disruptionconf 70%
    Notes: Bloomberg projects up to 502K AI-related job displacement in 2026.
  8. 2026-06-01 → 2027-06-30pendingEntry-level knowledge work hiring collapses ≥30% YoY
    How: Yale CELI / Sonnenfeld or BLS data confirms entry-level knowledge-work job postings down ≥30% YoY by mid-2026 to mid-2027
    Source: Fortune — AI won't kill your job — it will kill the path to your first one (Yale CELI Sonnenfeld)conf 65%
    Notes: Cascade — Ismail/Blundin's 'agentic models displace knowledge workers' thesis primarily falls on entry-level first.
  9. 2026-09-01 → 2027-06-30pendingCumulative knowledge-worker AI-driven displacement crosses 1.1M by end-2026
    How: Cumulative AI-attributed knowledge-worker layoffs (technology, media, professional services, finance) reaches ≥1.1 million across 2025-2026
    Source: Programs.com — List of Companies Announcing AI-Driven Layoffsconf 40%
    Notes: Direct measurement of 1.1M claim. Currently tracking ~61K confirmed by April 2026 with 502K projected total — 1.1M cumulative crosses 2025-2026.

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: 37%)

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
LBP2026-05-24T02:00:02Z37.1%+1.1pp
Network propagation: 36.0% → 37.1%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
LBP2026-05-17T02:00:01Z36.0%+2.2pp
Network propagation: 33.8% → 36.0%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z33.8%+4.2pp
Network propagation: 29.6% → 33.8%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z29.6%+7.3pp
Network propagation: 22.3% → 29.6%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
metadata_milestone_miss_sweep2026-05-02T22:07:21Z22.3%-16.3pp
metadata_milestone_miss_sweep bayesian_v2 n=3 inside=0.223 blend=0.223 LLR=-0.782 κ=0.64 no_blend
Raw metadata
{
  "trf": 0.3320688953629401,
  "kappa": 0.6429,
  "base_rate": null,
  "predictor": "Salim Ismail",
  "total_llr": -1.2163953243244932,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.4633981246430778,
  "bayes_factor": "2.2:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.3861800044803576,
  "kappa_source": "predictor_table",
  "n_milestones": 3,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6429,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2606735180027389,
      "expected_date": "2025-06-03",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6429,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2606735180027389,
      "expected_date": "2025-11-04",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6429,
      "label": "Q3 window check-in (75%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2606735180027389,
      "expected_date": "2026-04-06",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.7675517732459419,
  "outside_weight": 0.23244822675405807,
  "posterior_prob": 0.22349419486129238,
  "posterior_logit": -1.2454186786512946,
  "predictor_brier": 0.01445,
  "inside_posterior": 0.22349419486129238,
  "blended_posterior": 0.22349419486129238,
  "reference_class_id": null,
  "total_adjusted_llr": -0.7820205540082168,
  "predictor_n_resolved": 2
}
LBP2026-04-30T16:39:51Z38.6%-2.1pp
Network propagation: 40.8% → 38.6%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z40.8%-4.2pp
Network propagation: 45.0% → 40.8%
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%0.0500.450-0.021
killerTK07
Labor Political Backlash (UBI Mandate / AI Tax)
18.0%0.0500.450+0.007

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Prerequisites (4)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_HUMANOID_ENTERPRISE_2028Humanoid R2: 100K+ enterprise by Nov 2028humanoid_deployment
correlateS_AGI_FAST_2027AGI fast: drop-in remote worker by 2027-09agi_general_capability
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK07Labor Political Backlash (UBI Mandate / AI Tax)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.692manifoldWhich sector will see the highest % of jobs displaced by AI in the US by end of Dec 31, 2026?mentionspending2026-05-01
0.686arxivAttention Asymmetry in AI Layoff Discourse on X: A Computational Analysis of Capital vs Labour Amplificationmentionspending2026-05-28
0.664gdeltmeta earnings layoffs ai efficiency infrastructure push 2026 4mentionspending2026-04-30
0.623arxivThe Newsworthiness of Brazilian Distress: A Peak Analysis on Time Series of International Media Attention to Disasters in Brazilmentionspending2026-05-06
0.621polymarketWill the Iranian regime fall before 2027?13%mentionspending2025-11-03
0.620gdeltmentionspending2026-04-30
0.613gdeltmentionspending2026-04-30
0.607manifoldWill Bricks and Minifigs corporate declare bankruptcy in the USA by the end of 2029?45%mentionspending2026-05-27
0.607polymarketWill the Iranian regime fall by June 30?2%mentionspending2025-12-17
0.603polymarketWill the Iranian regime fall by May 31?0%mentionspending2026-03-24

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "1.1M knowledge workers",
  "mode": "FORECAST",
  "role": "Cited-Other",
  "context": "Second Ismail entry after CYB_014 (ExO framework). Specific 1.1M quantification extends AI_022 (Khosrowshahi 80% by 2035), AI_021 (Yang Great Disemboweling).",
  "to_year": 2026,
  "conv_cues": "specific quantitative displacement figure",
  "direction": "UP",
  "from_year": 2025,
  "timeframe": "2025-2026",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2025-06-03",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2025-11-04",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2026-04-06",
      "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": "Tech industry layoffs reach ~80,000 in Q1 2026 with ~50% AI-attributable",
      "source": "Tom's Hardware — Tech industry lays off nearly 80,000 employees in Q1 2026 — almost 50% from AI",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.tomshardware.com/tech-industry/tech-industry-lays-off-nearly-80-000-employees-in-the-first-quarter-of-2026-almost-50-percent-of-affected-positions-cut-due-to-ai",
      "expected_date": "2026-04-15",
      "observed_date": "2026-04-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-04-30",
        "from": "2026-04-01"
      },
      "measurement_criterion": "Tech-industry layoff trackers report ≥75,000 tech employees laid off in Q1 2026 with ≥40% explicitly attributed to AI efficiency"
    },
    {
      "kind": "event",
      "label": "Ismail and Blundin forecast widespread corporate collapses in 2025-2026 for traditional institutions failing to integrate agentic models — m",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "SPC_028",
      "expected_date": "2026-09-07",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Major Fortune-500 company files Chapter 11 with AI-non-adoption as material factor",
      "notes": "'Widespread corporate collapses' is the strongest part of the claim. One named F500 Chapter 11 with AI as factor would substantiate.",
      "source": "Substack — The Corporate Collapse of 2026 (Mikhail Shcheglov)",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 1,
      "source_id": null,
      "confidence": 0.45,
      "source_url": "https://corpwaters.substack.com/p/the-corporate-collapse-of-2026",
      "expected_date": "2026-09-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "At least one Fortune 500 company files Chapter 11 bankruptcy where reorganization filing or analyst commentary cites failure to integrate AI/agentic models as material driver"
    },
    {
      "kind": "llm_pre_event",
      "label": "Challenger Gray AI-layoff report shows month-over-month acceleration in H2 2026",
      "source": "Fortune — Tech has a 
... (truncated)