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230_015predictionLabor/JobsAI-timing

For the next few years more people will end up doing more work, not less (996 turns into 997).

Predictor: Alex Wissner-Gross · ep#230 "AI CEOs Come Online: Sam Altman's Replacement Plan, Job Loss & 'Solve Everything' Launches |EP #230" · source

Prior probability
45.0%
Current probability
39.2%
evolves via intake + LBP
Conviction
3/5
Signal quality
C
Resolution
pending
Window
2026-01-01 – 2029-12-31
Edges in / out
7 / 5
Tickers exposed
33

Prediction text

For the next few years more people will end up doing more work, not less (996 turns into 997). | I suspect for the next few years what actually ends up happening is more people end up doing more work because human labor ends up being also in in addition to being a substitute good or service for AI labor. It's also complimentary and as a result you see the people who were still involved with the economy working harder and harder and harder and 996 turns into 997.

Verbatim quote

From episode "AI CEOs Come Online: Sam Altman's Replacement Plan, Job Loss & 'Solve Everything' Launches |EP #230"
I suspect for the next few years what actually ends up happening is more people end up doing more work because human labor ends up being also in in addition to being a substitute good or service for AI labor. It's also complimentary and as a result you see the people who were still involved with the economy working harder and harder and harder and 996 turns into 997.

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

3 prob_history rows
0%25%50%75%100%prior 45%2026-04-302026-04-302026-05-03
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 39.2%

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: 4 fired ✓ · 5 pending
  1. 2026-12-31pendingTier-1 tech company publicly mandates 'AI-augmented productivity expectations' i.e. higher output
    How: FAANG/Mag-7 internal memo leak or earnings call cites raised per-employee output targets; reported by Bloomberg, WSJ, or The Information
    Source: Industry signaling pattern (Shopify, Meta, Google return-to-office trajectory)conf 70%
  2. 2027-03-31pendingBLS productivity report shows hours-per-worker holding flat or rising despite AI adoption
    How: BLS Productivity and Costs Q4 2026 release shows nonfarm business hours worked stable or up YoY; quarterly release
    Source: Bureau of Labor Statistics productivity seriesconf 60%
  3. 2027-06-30pendingADP/large-employer survey shows AI-augmented roles working longer hours than peers
    How: ADP Research Institute or Gallup workplace report shows knowledge workers using generative AI tools log >=40 hr/wk vs control; published study
    Source: ADP Research Institute trend reportsconf 50%
  4. 2027-03-01 → 2028-06-30pending996/997 schedule normalization in US tech firms reported
    How: At least 3 mainstream business publications (NYT/WSJ/FT/Bloomberg) report on US tech firms adopting 9am-9pm-6day or longer norms; cluster of stories
    Source: Industry signaling — Musk, Zuckerberg public hours rhetoricconf 45%
  5. 2028-03-31pendingOECD or IMF working paper documents AI-driven hours expansion (vs reduction)
    How: Peer-reviewed or OECD/IMF working paper finds total hours worked rose in AI-adopting industries 2025-2027 vs control sectors
    Source: OECD/IMF labor market research streamsconf 50%

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: 39%)

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
LBP2026-05-03T02:00:01Z39.2%-1.2pp
Network propagation: 40.4% → 39.2%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z40.4%-1.8pp
Network propagation: 42.2% → 40.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z42.2%-2.8pp
Network propagation: 45.0% → 42.2%
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
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.4500.050-0.051
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.4500.050-0.045
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.4500.050-0.038
prereq238_009
Recursive self-improvement is already happening now (no longAlex Wissner-Gross
78.1%0.4500.050-0.033
killerTK14
Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
20.0%0.0500.450-0.022

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq246_017
Europa Clipper will arrive at Jupiter in 2030, conducting 50Peter Diamandis
37.7%0.6500.050-0.098
prereq247_035
Dario Amodei will solve most/all neurological diseases by enDario Amodei
38.8%0.7000.050-0.089
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.076
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050-0.074
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050-0.045

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (7)

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
prereqSEM_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq235_030Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033.Biotech/Longevity
prereq247_035Dario Amodei will solve most/all neurological diseases by end of decadeBiotech/Longevity
prereq246_017Europa Clipper will arrive at Jupiter in 2030, conducting 50 passes near Europa.Space
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereqSEM_034True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'.AI/AGI

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2029-12-31[Labor/Policy 2029-12] employment rate; Yang quarterly updates [230_015] For the next few years more people will end up doing more work, not less (996 tu [CMQ_048] BPO industry layoffs; AI customer-service deployment at scale; Klarna / Salesforce Agentforce KPIs.pending

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.643manifoldWill the May 2026 US nonfarm payrolls report show fewer than 100,000 jobs added?67%mentionspending2026-05-16

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=6P0uTDGDr-I",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "I suspect for the next few years what actually ends up happening is more people end up doing more work... 996 turns into 997. Yeah. Like you take on more projects and more work and and you're getting less sleep.",
  "to_year": 2029,
  "verbatim": "I suspect for the next few years what actually ends up happening is more people end up doing more work because human labor ends up being also in in addition to being a substitute good or service for AI labor. It's also complimentary and as a result you see the people who were still involved with the economy working harder and harder and harder and 996 turns into 997.",
  "conv_cues": "I suspect",
  "direction": "UP",
  "from_year": 2026,
  "timeframe": "next few years",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "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": -9,
      "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": -8,
      "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": -7,
      "source_id": "SEM_042",
      "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": -6,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Tier-1 tech company publicly mandates 'AI-augmented productivity expectations' i.e. higher output",
      "source": "Industry signaling pattern (Shopify, Meta, Google return-to-office trajectory)",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2026-12-31",
      "research_origin": "training",
      "measurement_criterion": "FAANG/Mag-7 internal memo leak or earnings call cites raised per-employee output targets; reported by Bloomberg, WSJ, or The Information"
    },
    {
      "kind": "llm_pre_event",
      "label": "BLS productivity report shows hours-per-worker holding flat or rising despite AI adoption",
      "source": "Bureau of Labor Statistics productivity series",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.6,
      "source_url": "https://www.bls.gov/productivity/",
      "expected_date": "2027-03-31",
      "research_origin": "training",
      "measurement_criterion": "BLS Productivity and Costs Q4 2026 release shows nonfarm business hours worked stable or up YoY; quarterly release"
    },
    {
      "kind": "llm_pre_event",
      "label": "ADP/large-employer survey shows AI-augmented roles working longer hours than peers",
      "source": "ADP Research Institute trend reports",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.5,
      "expected_date": "2027-06-30",
      "research_origin": "training",
      "measurement_criterion": "ADP Research Institute or Gallup workplace report shows knowledge workers using generative AI tools log >=40 hr/wk vs control; published study"
    },
    {
      "kin
... (truncated)