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233_017predictionLabor/JobsAI-timing

Reskilling using AI technology will be fundamentally critical for workforce.

Predictor: Peter Diamandis · ep#233 "This $40M AI Company Is Using AI Tutors to Teach 2 Hours/Day | #233" · source

Prior probability
65.0%
Current probability
55.0%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2028-06-01 – 2028-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Reskilling using AI technology will be fundamentally critical for workforce. | we didn't talk about it but res-killing using this technology to reskill our employees is going to be fundamentally critical.

Verbatim quote

From episode "This $40M AI Company Is Using AI Tutors to Teach 2 Hours/Day | #233"
we didn't talk about it but res-killing using this technology to reskill our employees is going to be fundamentally critical.

Predictor: Peter Diamandis

κ + Brier as of 2026-05-22
κ (discount)
0.875
Brier
0.0367
excellent
Hits / Misses
10 / 0
of 15 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Peter Diamandis 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 65%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 55.0%

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. 2026-02-01hitCorporate L&D / training market reaches $400B annual spend
    How: Industry research (Bersin, ATD) confirms global corporate training market >=$400B in 2026
    Source: Josh Bersin: New Research — How AI Transforms $400B of Corporate Learningconf 95%
    Notes: HIT — confirmed $400B corporate learning market with AI transformation a centerpiece of 2026 narrative.
  2. 2026-04-01hitExecutives report 40% of workforce needs reskilling within 3 years
    How: IBM Institute for Business Value or peer survey confirms ~40% workforce reskilling estimate among CEOs
    Source: IBM IBV CEO Study, World Economic Forum Future of Jobsconf 95%
    Notes: HIT — IBM IBV survey confirms ~40% reskilling need; WEF projects 59% by 2030.
  3. 2026-06-01 → 2027-06-30pendingCisco-style industry consensus: >=90% of tech roles require AI reskilling
    How: Industry coalition reports (Cisco AI-Enabled ICT Workforce, etc.) confirm >=90% of technology roles evolved due to AI
    Source: Cisco AI and the Workforce industry reportconf 80%
    Notes: Already at 92% per 2024 baseline; confirmation that pattern persists.
  4. 2026-12-31pendingIBM commits to skill 2M people in AI by end of 2026
    How: IBM SkillsBuild reports >=2M cumulative AI learners by Dec 2026
    Source: IBM AI Upskilling Strategy / SkillsBuild programconf 85%
    Notes: Public IBM goal — directly tests whether 'reskilling will be critical' thesis materializes via major employer commitments.
  5. 2027-01-01 → 2028-06-30pendingFederal/state workforce reskilling program reaches >=1M enrollees
    How: Major government-backed AI reskilling initiative (e.g., AI Works for America, state programs) crosses 1M enrolled workers
    Source: US Department of Labor, Google AI Works for Americaconf 55%
    Notes: Tests whether reskilling becomes 'fundamentally critical' at policy level by target window.
  6. 2036-09-06pendingMoon base will exist in 10 years

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: 55%)

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
LBP2026-05-10T02:00:02Z55.0%-1.3pp
Network propagation: 56.3% → 55.0%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z56.3%-2.0pp
Network propagation: 58.2% → 56.3%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z58.2%-2.7pp
Network propagation: 60.9% → 58.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z60.9%-4.1pp
Network propagation: 65.0% → 60.9%
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%0.6500.050-0.063
prereq235_038
David Sinclair begins partial epigenetic reprogramming trialPeter Diamandis
74.0%0.6500.050-0.060
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6500.050-0.054
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.6500.050-0.043
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.650+0.040

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.037
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050+0.034
prereq239_008
Moon base will exist in 10 yearsElon Musk
28.8%0.5500.050+0.033
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050+0.032
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050+0.019

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq235_038David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.Biotech/Longevity
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.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
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
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
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
prereq239_008Moon base will exist in 10 yearsSpace

Linked documents (2)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.697gdelton the risks of ai in the workplace.htmmentionspending2026-04-30
0.615manifoldWill warfare robots kill multitudes in a city?11%mentionspending2026-04-25

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=X94eBT-VZnc",
  "mode": "THESIS",
  "role": "Host",
  "context": "The speed of change is so extraordinarily fast um that if we are still using the old methodologies, um we're hitting brick walls. We we need we need the we need some not just alpha school hopefully many different mechanisms that are going to enable us to have our our our kids our college kids and even you know we didn't talk about it but res-killing using this technology to reskill our employees is going to be fundamentally critical.",
  "to_year": 2030,
  "verbatim": "we didn't talk about it but res-killing using this technology to reskill our employees is going to be fundamentally critical.",
  "conv_cues": "fundamentally critical; is going to be",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "near-term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Corporate L&D / training market reaches $400B annual spend",
      "notes": "HIT — confirmed $400B corporate learning market with AI transformation a centerpiece of 2026 narrative.",
      "source": "Josh Bersin: New Research — How AI Transforms $400B of Corporate Learning",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://joshbersin.com/2026/02/new-research-how-ai-transforms-400-billion-of-corporate-learning/",
      "expected_date": "2026-02-28",
      "observed_date": "2026-02-01",
      "research_origin": "deep_research",
      "measurement_criterion": "Industry research (Bersin, ATD) confirms global corporate training market >=$400B in 2026"
    },
    {
      "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": "prereq",
      "label": "David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "235_038",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Executives report 40% of workforce needs reskilling within 3 years",
      "notes": "HIT — IBM IBV survey confirms ~40% reskilling need; WEF projects 59% by 2030.",
      "source": "IBM IBV CEO Study, World Economic Forum Future of Jobs",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.ibm.com/think/insights/ai-upskilling",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-01",
      "research_origin": "deep_research",
      "measurement_criterion": "IBM Institute for Business Value or peer survey confirms 
... (truncated)