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242_030predictionLabor/Jobsjobs

Near-future reverse discrimination where humans need not apply for many jobs

Predictor: Alex Wissner-Gross · ep#242 "Elon Enters the Chip Race, the S&P 500 Repricing, and Human Drivers Will Become Illegal | EP #242" · source

Prior probability
50.0%
Current probability
36.7%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-04-30 – 2029-03-31
Edges in / out
8 / 0
Tickers exposed
32

Prediction text

Near-future reverse discrimination where humans need not apply for many jobs | We are so painfully close, I think, to a near future where there's a sort of reverse discrimination against humans and where humans need not apply

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

Verbatim quote

From episode "Elon Enters the Chip Race, the S&P 500 Repricing, and Human Drivers Will Become Illegal | EP #242"
We are so painfully close, I think, to a near future where there's a sort of reverse discrimination against humans and where humans need not apply

Predictor: Alex Wissner-Gross

κ + Brier as of 2026-05-22
κ (discount)
0.844
Brier
0.0341
excellent
Hits / Misses
6 / 1
of 11 resolved
Hit rate
54.5%
Calibration plot (stated vs observed)

Evidence about this node from Alex Wissner-Gross 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 50%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 36.7%

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: 7 fired ✓ · 3 pending
  1. 2026-04-01hitCS new-grad unemployment rate exceeds general population rate
    How: CS graduate unemployment ≥5.8% vs general 4.28%
    Source: https://www.finalroundai.com/blog/software-engineering-job-market-2026conf 85%
  2. 2026-04-06hitAI cuts ~16K U.S. jobs/month per Goldman Q1 2026 estimate
    How: Goldman Sachs estimates AI reduced U.S. monthly payroll growth by ~16K in prior 12 months
    Source: https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/conf 95%
  3. 2026-12-01 → 2027-06-30pending≥3 Fortune-100 firms cite AI as primary headcount driver in 10-K
    How: ≥3 Fortune-100 firms attribute material headcount reductions to AI productivity in annual 10-K risk factors / MD&A
    Source: SEC EDGAR 10-K filingsconf 70%
  4. 2026-09-01 → 2027-12-31pendingMajor employer publicly issues 'AI-only' job posting
    How: Fortune-500 firm publicly posts a role requiring AI-agent execution with no human applicants accepted (or auto-rejects all human resumes)
    Source: LinkedIn jobs scrapes, news reporting (CNBC/Bloomberg)conf 30%
    Notes: Wissner-Gross's specific claim. Most likely surfaces as automated-screening rejecting humans rather than explicit policy.
  5. 2027-06-01 → 2029-03-31pendingFirst U.S. labor-rights litigation over AI-only hiring practices
    How: EEOC or class-action filing alleges discrimination via AI-only screening / human-not-considered policies
    Source: EEOC enforcement, federal court PACERconf 45%

No downstream cascades — this prediction is a leaf in the dependency graph.

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
LBP2026-05-17T02:00:01Z36.7%-1.2pp
Network propagation: 37.9% → 36.7%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z37.9%-2.1pp
Network propagation: 40.0% → 37.9%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z40.0%-3.9pp
Network propagation: 43.9% → 40.0%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z43.9%-2.6pp
Network propagation: 46.5% → 43.9%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z46.5%-3.5pp
Network propagation: 50.0% → 46.5%
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
prereqS_AGI_MID_2029
AGI mid: Kurzweil 2029 path
35.0%0.5000.050-0.160
killerTK07
Labor Political Backlash (UBI Mandate / AI Tax)
18.0%0.0500.500+0.052
prereq238_009
Recursive self-improvement is already happening now (no longAlex Wissner-Gross
78.1%0.5000.050+0.030
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.5000.050+0.025
killerTK04
Macro Recession 2026-27 (Structural Deleveraging)
25.0%0.0500.500+0.020

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

32 ticker(s) linked

Beneficiaries (23)

ADUSCOURDOCNFROGGTLBINODPLROLSPIRSRFMUDMYTEAMNFLXPLTRRDDTUBERAMZNBABASPOTGDDYGOOGLMETAMSFT

Adverse (6)

RHIBXPSLGMANKFYTNET

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereq247_058Jury selection begins April 27, 2026 for Musk v OpenAI trialAI
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
prereqS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK07Labor Political Backlash (UBI Mandate / AI Tax)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=wMLcIWLlcWg",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "near future where there's a sort of reverse discrimination against humans and where humans need not apply",
  "verbatim": "We are so painfully close, I think, to a near future where there's a sort of reverse discrimination against humans and where humans need not apply",
  "conv_cues": "painfully close",
  "direction": "HAPPEN",
  "timeframe": "near future",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "CS new-grad unemployment rate exceeds general population rate",
      "source": "https://www.finalroundai.com/blog/software-engineering-job-market-2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.finalroundai.com/blog/software-engineering-job-market-2026",
      "expected_date": "2026-04-01",
      "observed_date": "2026-04-01",
      "research_origin": "deep_research",
      "measurement_criterion": "CS graduate unemployment ≥5.8% vs general 4.28%"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI cuts ~16K U.S. jobs/month per Goldman Q1 2026 estimate",
      "source": "https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/",
      "expected_date": "2026-04-06",
      "observed_date": "2026-04-06",
      "research_origin": "deep_research",
      "measurement_criterion": "Goldman Sachs estimates AI reduced U.S. monthly payroll growth by ~16K in prior 12 months"
    },
    {
      "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": -8,
      "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": -7,
      "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": -6,
      "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": -5,
      "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": -4,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "≥3 Fortune-100 firms cite AI as primary headcount driver in 10-K",
      "source": "SEC EDGAR 10-K filings",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2027-03-16",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-12-01"
      },
      "measurement_criterion": "≥3 Fortune-100 firms attribute material headcount reductions to AI productivity in annual 10-K risk factor
... (truncated)