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236_014predictionLabor/Jobsjobs

Publicly traded companies will fire white collar workers very quickly

Predictor: Andrew Yang · ep#236 "Andrew Yang: UBI Before UHI, Solving Job Loss, and the Future of Work | #236" · source

Prior probability
60.0%
Current probability
42.5%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
7 / 0
Tickers exposed
32

Prediction text

Publicly traded companies will fire white collar workers very quickly | So I think publicly traded companies are going to fire white collar workers uh very very quickly and the easiest people to fire are the people you haven't hired yet

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

Verbatim quote

From episode "Andrew Yang: UBI Before UHI, Solving Job Loss, and the Future of Work | #236"
So I think publicly traded companies are going to fire white collar workers uh very very quickly and the easiest people to fire are the people you haven't hired yet

Predictor: Andrew Yang

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0178
excellent
Hits / Misses
0 / 0
of 3 resolved
Hit rate
0.0%
Calibration plot (stated vs observed)

Evidence about this node from Andrew Yang 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

5 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-05-032026-05-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 42.5%

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 overdue ⏱
  1. 2026-04-01hitQ1 2026 tech layoffs hit ~80,000 with ~50% AI-attributed
    How: Tech industry layoff trackers (Layoffs.fyi, Challenger) report Q1 2026 tech layoffs around 80K with at least 40% citing AI
    Source: Tom's Hardware: Tech industry lays off nearly 80,000 employees in Q1 2026 — almost 50% due to AIconf 95%
    Notes: HIT — confirms 'fire white collar workers very quickly' thesis.
  2. 2026-04-01hitMcKinsey cuts 200 consulting roles citing AI productivity
    How: Major consultancy publicly cuts white-collar headcount and explicitly cites AI as driver
    Source: Metaintro: McKinsey Layoffs 2026: 200 Jobs Cut as AIconf 85%
  3. 2026-05-20overdueMeta cuts 10% of workforce (~8,000) starting May 20, 2026
    How: Meta executes announced layoff of approximately 8,000 employees and scraps 6,000 open roles
    Source: CNBC: 20,000 job cuts at Meta, Microsoft raise concern that AI-driven labor crisis is hereconf 92%
    Notes: Announced April 2026, scheduled May 20. Yang specifically cited 'easiest people to fire are people you haven't hired yet' — Meta scrapping 6K open roles is direct confirmation.
  4. 2026-01-01 → 2026-12-31pendingBig Freeze: 32%+ of companies plan AI-driven headcount reduction
    How: Multiple workforce surveys (BCG, McKinsey, Gartner) show ≥30% of large companies planning AI-driven headcount reduction over next 12 months
    Source: Built In / Fortune coverage of AI-washing and white collar layoffs surveysconf 85%
  5. 2026-12-31pendingTotal 2026 mass layoffs cross 1.5M with AI cited in >10%
    How: Challenger Gray & Christmas year-end report shows ≥1.5M jobs cut in 2026, AI cited as driver in ≥10% (vs 4.5% in 2025)
    Source: Challenger Gray annual report; Intellizence layoff trackerconf 70%
  6. 2026-09-01 → 2027-06-30pendingCascade: white-collar U-3 unemployment crosses 4.5% by mid-2027
    How: BLS reports professional/business services unemployment rate ≥4.5%, up from current ~3.5%
    Source: BLS Employment Situation monthly releaseconf 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: 43%)

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
metadata_milestone_miss_sweep2026-05-30T22:15:00Z42.5%-6.4pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.425 blend=0.425 LLR=-0.256 κ=0.69 no_blend
Raw metadata
{
  "trf": 1,
  "kappa": 0.6875,
  "base_rate": null,
  "predictor": "Andrew Yang",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.04500009648673667,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.48875187394366854,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.6325000000000001,
      "label": "Meta cuts 10% of workforce (~8,000) starting May 20, 2026",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.92,
      "source_url": "https://www.cnbc.com/2026/04/24/20k-job-cuts-at-meta-microsoft-raise-concern-of-ai-labor-crisis-.html",
      "adjusted_llr": -0.256456680878414,
      "expected_date": "2026-05-20",
      "measurement_criterion": "Meta executes announced layoff of approximately 8,000 employees and scraps 6,000 open roles"
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.3,
  "outside_weight": 0.7,
  "posterior_prob": 0.42520140053192174,
  "posterior_logit": -0.30145677736515064,
  "predictor_brier": 0.0178,
  "inside_posterior": 0.42520140053192174,
  "blended_posterior": 0.42520140053192174,
  "reference_class_id": null,
  "total_adjusted_llr": -0.256456680878414,
  "predictor_n_resolved": 3
}
LBP2026-05-10T02:00:02Z48.9%-1.5pp
Network propagation: 50.3% → 48.9%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z50.3%-2.3pp
Network propagation: 52.6% → 50.4%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z52.6%-3.2pp
Network propagation: 55.8% → 52.6%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z55.8%-4.2pp
Network propagation: 60.0% → 55.8%
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
killerTK07
Labor Political Backlash (UBI Mandate / AI Tax)
18.0%0.0500.600+0.076
prereq238_009
Recursive self-improvement is already happening now (no longAlex Wissner-Gross
78.1%0.6000.050+0.050
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.6000.050+0.043
killerTK04
Macro Recession 2026-27 (Structural Deleveraging)
25.0%0.0500.600+0.037
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6000.050+0.033

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

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 (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.560manifoldName something Miranda Priestly would fire you for wearing to the office. (Bilt Rent Free May 1, 2026)mentionspending2026-04-28

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=toE56X2h0wk",
  "mode": "PREDICTION",
  "role": "Guest-Politician",
  "context": "So I think publicly traded companies are going to fire white collar workers uh very very quickly and the easiest people to fire are the people you haven't hired yet, you know, so that they're they're not going to hire a bunch of whippers snappers",
  "to_year": 2027,
  "verbatim": "So I think publicly traded companies are going to fire white collar workers uh very very quickly and the easiest people to fire are the people you haven't hired yet",
  "conv_cues": "are going to fire; very very quickly",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "Near-term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Q1 2026 tech layoffs hit ~80,000 with ~50% AI-attributed",
      "notes": "HIT — confirms 'fire white collar workers very quickly' thesis.",
      "source": "Tom's Hardware: Tech industry lays off nearly 80,000 employees in Q1 2026 — almost 50% due to AI",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.95,
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      "expected_date": "2026-04-01",
      "observed_date": "2026-04-01",
      "research_origin": "deep_research",
      "measurement_criterion": "Tech industry layoff trackers (Layoffs.fyi, Challenger) report Q1 2026 tech layoffs around 80K with at least 40% citing AI"
    },
    {
      "kind": "llm_pre_event",
      "label": "McKinsey cuts 200 consulting roles citing AI productivity",
      "source": "Metaintro: McKinsey Layoffs 2026: 200 Jobs Cut as AI",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.metaintro.com/blog/mckinsey-layoffs-2026-ai-white-collar-consulting",
      "expected_date": "2026-04-01",
      "observed_date": "2026-04-01",
      "research_origin": "deep_research",
      "measurement_criterion": "Major consultancy publicly cuts white-collar headcount and explicitly cites AI as driver"
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      "expected_date": "2026-04-29",
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      "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"
    },
    {
      "kind": "llm_pre_event",
      "label": "Meta cuts 10% of workforce (~8,000) starting May 20, 2026",
      "not
... (truncated)