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230_047predictionLabor/JobsAI-scaling

Only 2 future work roles will exist: entrepreneur and employee — and one of those won't exist.

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

Prior probability
60.0%
Current probability
49.5%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2030-06-01 – 2030-06-30
Edges in / out
10 / 5
Tickers exposed
37

Prediction text

Only 2 future work roles will exist: entrepreneur and employee — and one of those won't exist. | Unless you're a really good electrician or a really good salesperson, you're probably immune. Or there's two roles in the government, you're probably there's two roles in the future. There's the entrepreneur and there's the employee. And one of those will not exist.

Verbatim quote

From episode "AI CEOs Come Online: Sam Altman's Replacement Plan, Job Loss & 'Solve Everything' Launches |EP #230"
Unless you're a really good electrician or a really good salesperson, you're probably immune. Or there's two roles in the government, you're probably there's two roles in the future. There's the entrepreneur and there's the employee. And one of those will not exist.

Predictor: Dave Blundin

κ + Brier as of 2026-05-22
κ (discount)
0.821
Brier
0.0491
excellent
Hits / Misses
3 / 2
of 9 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dave Blundin 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 60%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 49.5%

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: 4 fired ✓ · 6 pending
  1. 2026-12-31pendingGartner: 20% of orgs use AI to flatten middle management
    How: Gartner publishes data showing 20%+ of large enterprises have used AI to eliminate >=50% of middle-management positions or layers
    Source: Gartner 2026 forecast cited in Gloat AI workforce trends reportconf 80%
    Notes: Direct quantitative anchor for the 'employee role disappearing' end of Blundin's binary.
  2. 2026-01-01 → 2027-12-31pendingEntry-level white-collar hiring drops 25% YoY in BLS data
    How: BLS or LinkedIn Workforce Report shows entry-level corporate roles (admin, analyst, junior consultant, paralegal) hiring volume down >=25% YoY in two consecutive quarters
    Source: BLS JOLTS, LinkedIn Workforce Report; PwC 2025 Global AI Jobs Barometerconf 70%
    Notes: Already feeling shift at lowest rungs per WEF 2026 Future of Jobs.
  3. 2026-01-01 → 2027-12-31pendingSolo-founder companies reach $10M+ ARR
    How: At least 5 publicly-reported solo-founder or 2-person teams cross $10M ARR using primarily AI-agent labor (no traditional employees beyond founders)
    Source: TechCrunch, The Information; Christensen Institute 2026 entrepreneurship predictionconf 65%
    Notes: Validates the 'entrepreneur' role surviving — AI lowers headcount needed for scale.
  4. 2026-06-01 → 2028-12-31pendingMajor Fortune 500 firm announces 50%+ headcount reduction citing AI
    How: A Fortune 500 company announces planned headcount reduction of >=50% (vs 2024 baseline) explicitly citing AI agent adoption as primary driver
    Source: Corporate 8-K filings, earnings transcripts, Reuters/WSJ coverageconf 40%
  5. 2027-01-01 → 2030-06-30pendingSelf-employment / 1099 share of US workforce crosses 40%
    How: BLS Contingent Worker Supplement or Census ACS shows self-employed + independent contractor share of total US labor force exceeds 40%
    Source: BLS Contingent Worker Supplement; ADP Research Institute reportsconf 35%
    Notes: Cascade — bifurcation of labor into entrepreneurs (1099) and shrinking employees (W-2).

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: 50%)

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
LBP2026-05-10T02:00:02Z49.5%-1.2pp
Network propagation: 50.7% → 49.5%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z50.7%-2.2pp
Network propagation: 52.9% → 50.7%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z52.9%-2.9pp
Network propagation: 55.8% → 52.9%
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
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.600-0.088
prereqSEM_015
Nvidia agreed to remit 15% of China chip-sale revenue directJensen Huang
66.3%0.6000.050-0.076
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.6000.050-0.075
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.600-0.060
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.050

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq232_057
First person to arrive on moon/Mars will find bed made by OpDave Blundin
34.8%0.6000.050-0.029
prereq242_023
World will have 10x more wealth around 2034-2036Dave Blundin
34.2%0.6000.050-0.023
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.013
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.004
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050+0.000

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (10)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_011Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.Capital Markets
prereqSEM_027Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.Capital Markets
prereqSEM_014Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).Manufacturing
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_015Nvidia agreed to remit 15% of China chip-sale revenue directly to US government in exchange for reversing specific AI chip export bans.Policy/Semis
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereq232_057First person to arrive on moon/Mars will find bed made by Optimus robots; robots not astronauts lead exploration.Robotics
prereq242_023World will have 10x more wealth around 2034-2036Macro/Economy

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=6P0uTDGDr-I",
  "mode": "PREDICTION",
  "role": "Host",
  "caveats": "Electricians/salespeople immune",
  "context": "there's two roles in the future. There's the entrepreneur and there's the employee. And one of those will not exist.",
  "to_year": 2035,
  "verbatim": "Unless you're a really good electrician or a really good salesperson, you're probably immune. Or there's two roles in the government, you're probably there's two roles in the future. There's the entrepreneur and there's the employee. And one of those will not exist.",
  "conv_cues": "will not exist",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "the future",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "prereq",
      "label": "Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -10,
      "source_id": "SEM_011",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "SEM_027",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "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": -7,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia agreed to remit 15% of China chip-sale revenue directly to US government in exchange for reversing specific AI chip export bans.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_015",
      "expected_date": "2026-06-25",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Gartner: 20% of orgs use AI to flatten middle management",
      "notes": "Direct quantitative anchor for the 'employee role disappearing' end of Blundin's binary.",
      "source": "Gartner 2026 forecast cited in Gloat AI workforce trends report",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.8,
      "source_url": "https://gloat.com/blog/ai-workforce-trends/",
      "expected_date": "2026-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Gartner publishes data showing 20%+ of large enterprises have used AI to eliminate >=50% of middle-management positions or layers"
    },
    {
      "kind": "llm_pre_event",
      "label": "Entry-level white-collar hiring drops 25% YoY in BLS data",
      "notes": "Already feeling shift at lowest rungs per WEF 2026 Future of Jobs.",
      "source": "BLS JOLTS, LinkedIn Workforce Report; PwC 2025 Global AI Jobs Barometer",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.weforum.org/stories/2026/01/how-ai-will-affect-work-in-different-industries/",
      "expected_date": "2026-12-31",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-01-01"
      },
      "measurement_criterion": "BLS or
... (truncated)