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233_001predictionLabor/JobsAI-timing

Rapid pace of AI will soon require every major company to begin reskilling employees.

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
2027-06-01 – 2027-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Rapid pace of AI will soon require every major company to begin reskilling employees. | This is not just for K through 12 university. It's also for reskilling, right? Something that this rapid pace of AI is going to require every major company to start doing soon enough.

Verbatim quote

From episode "This $40M AI Company Is Using AI Tutors to Teach 2 Hours/Day | #233"
This is not just for K through 12 university. It's also for reskilling, right? Something that this rapid pace of AI is going to require every major company to start doing soon enough.

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: 6 fired ✓ · 2 pending
  1. 2026-02-15hitAmazon $1.2B / Google $75M reskilling commitments visible in workforce data
    How: Amazon and Google publicly maintain large-scale ($1.2B and $75M) AI training/reskilling commitments tracked in 2026 workforce reports
    Source: https://bostoninstituteofanalytics.org/blog/artificial-intelligence-course-2026-reskilling-workforce/conf 97%
  2. 2026-09-01 → 2027-06-30pendingFortune 500 AI-reskilling adoption rate reaches 60%+ of major companies
    How: >=60% of Fortune 500 companies report formal enterprise-wide AI reskilling programs in annual 10-K or HR survey
    Source: https://joshbersin.com/2026/02/new-research-how-ai-transforms-400-billion-of-corporate-learning/conf 75%
  3. 2026-06-01 → 2027-12-31pendingSkill-intelligence platforms replace traditional LMS at scale
    How: Major HR analyst (Bersin, Gartner) confirms shift from training programs to skill-intelligence as default model in enterprise reskilling
    Source: https://joshbersin.com/2026/02/new-research-how-ai-transforms-400-billion-of-corporate-learning/conf 65%
  4. 2026-09-01 → 2028-06-30pendingK-12 / university curricula formally pivot to AI-native skills
    How: U.S. state Board of Education adopts AI-native curriculum framework, OR top-50 university announces AI-native general-ed requirement
    Source: https://www.nationalacademies.org/news/retraining-workers-for-the-age-of-aiconf 55%
    Notes: Diamandis frames K-12 as same broader phenomenon.
  5. 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

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": "Today we're going to be speaking about the future of education and the role of AI in education. And this is not just for K through 12 university. It's also for reskilling, right? Something that this rapid pace of AI is going to require every major company to start doing soon enough.",
  "to_year": 2028,
  "verbatim": "This is not just for K through 12 university. It's also for reskilling, right? Something that this rapid pace of AI is going to require every major company to start doing soon enough.",
  "conv_cues": "is going to require; every major company",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "soon enough / near-term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Amazon $1.2B / Google $75M reskilling commitments visible in workforce data",
      "source": "https://bostoninstituteofanalytics.org/blog/artificial-intelligence-course-2026-reskilling-workforce/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.97,
      "source_url": "https://bostoninstituteofanalytics.org/blog/artificial-intelligence-course-2026-reskilling-workforce/",
      "expected_date": "2026-03-31",
      "observed_date": "2026-02-15",
      "research_origin": "deep_research",
      "measurement_criterion": "Amazon and Google publicly maintain large-scale ($1.2B and $75M) AI training/reskilling commitments tracked in 2026 workforce reports"
    },
    {
      "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": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "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": -5,
      "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": -4,
      "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": -3,
      "source_id": "235_038",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Fortune 500 AI-reskilling adoption rate reaches 60%+ of major companies",
      "source": "https://joshbersin.com/2026/02/new-research-how-ai-transforms-400-billion-of-corporate-learning/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.75,
      "source_url": "https://joshbersin.com/2026/02/new-research-how-ai-transforms-400-billion-of-corporate-learning/",
      "expected_date": "2027-01-30",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": ">=60% of Fortune 500 companies report formal enterprise-wide AI reskilling programs in annual 10-K or H
... (truncated)