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INF_005predictionLabor/Jobsblue-collar-boom

Skilled trade labor (welders, HVAC, electricians, plumbers, heavy-equipment operators, network technicians) will experience a boom driven by AI-factory construction — wages for network-technician and DC-construction roles have roughly doubled into the ...

Predictor: Jensen Huang

Prior probability
70.0%
Current probability
70.0%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
partial
Window
2026-01-01 – 2030-12-31
Edges in / out
0 / 0
Tickers exposed
22

Prediction text

Skilled trade labor (welders, HVAC, electricians, plumbers, heavy-equipment operators, network technicians) will experience a boom driven by AI-factory construction — wages for network-technician and DC-construction roles have roughly doubled into the six-figure range. | Annual BLS wage data; union apprenticeship growth

Key catalyst: Annual BLS wage data; union apprenticeship growth

Watch events: BLS construction trade wage index; apprenticeship program enrollments; humanoid deployment in trades

Resolution evidence

Status: partial

Realtor.com (Dec 2025) confirmed Huang's claim; BLS construction wage growth outpacing white-collar since 2024; electrician/HVAC shortage widely reported.

Predictor: Jensen Huang

κ + Brier as of 2026-05-22
κ (discount)
0.808
Brier
0.0128
excellent
Hits / Misses
6 / 0
of 8 resolved
Hit rate
75.0%
Calibration plot (stated vs observed)

Evidence about this node from Jensen Huang 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

1 prob_history rows
0%25%50%75%100%prior 70%2026-05-01
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 70.0%

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: 4 overdue ⏱
  1. 2026-01-31overdueQ1 window check-in (25%)
  2. 2026-03-02overdueQ2 window check-in (50%)
  3. 2026-04-01overdueQ3 window check-in (75%)
  4. 2026-04-15 → 2026-05-15overdueBLS publishes Q1 2026 wage data showing data-center technician wage growth
    How: BLS Occupational Employment and Wage Statistics shows median wage for data center technicians (SOC 49-2022) grows ≥10% YoY
    Source: https://www.bls.gov/oes/ — BLS OEWS data, NAICS sector wage breakdownconf 75%
  5. 2026-04-01 → 2026-12-31pendingMajor hyperscaler announces dedicated trade-skills training partnership
    How: Microsoft, Google, Meta, Amazon, OpenAI, or peer announces formal partnership with community college or union for AI-data-center skills training
    Source: Hyperscaler press releases, community college announcementsconf 70%
  6. 2026-06-01 → 2026-12-31pendingMajor union (IBEW, UA) reports 20%+ apprenticeship enrollment growth
    How: International Brotherhood of Electrical Workers (IBEW) or United Association (plumbers/pipefitters) report ≥20% YoY growth in apprenticeship enrollment
    Source: IBEW.org, UA national reports, BLS apprenticeship statisticsconf 60%
  7. 2026-06-01 → 2027-12-31pendingSix-figure wages disclosed for AI-DC construction trades
    How: Public reporting (Bloomberg, WSJ, Reuters) confirms median compensation for AI-data-center construction trades ≥$100K — Jensen Huang's 'doubled into six-figure' claim
    Source: Bloomberg/WSJ labor coverage, BLS sector wage breakdownsconf 70%

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: 70%)

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
resolution_terminal2026-05-01T00:00:00Z50.0%-20.0pp
resolution_terminal partial outcome=0.5 pre_resolution=0.700
Raw metadata
{
  "source": "backfill_resolution_history.py",
  "status": "partial",
  "bayesian_v2": false,
  "outcome_prob": 0.5,
  "evidence_kind": "resolution_terminal",
  "posterior_prob": 0.5,
  "delta_to_outcome": -0.19999999999999996,
  "inside_posterior": 0.7,
  "validation_notes": "Realtor.com (Dec 2025) confirmed Huang's claim; BLS construction wage growth outpacing white-collar since 2024; electrician/HVAC shortage widely reported.",
  "validation_status": "hit",
  "pre_resolution_prob": 0.7,
  "resolution_evidence": "Realtor.com (Dec 2025) confirmed Huang's claim; BLS construction wage growth outpacing white-collar since 2024; electrician/HVAC shortage widely reported.",
  "does_not_update_current_prob": true
}

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

No propagation data yet. Run inference/.venv/bin/python scripts/ops/run_loopy_belief_propagation.py on the droplet, or wait for the Sunday 02:00 UTC weekly cron.

Ticker exposure

22 ticker(s) linked

Beneficiaries (22)

USARALNTFANUYHSEHYIRBTLYSCFMPRNSHFSERVSYMMIELYTERPHTSLAAMZNBYDDYTXNSTMHYMTFIFNNYABBNYTEL

Prerequisites (0)

Predictions that must hit first
TypePredTitleDomainLag
No prerequisites

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29hitthesis_timeline_v1.0_importRealtor.com (Dec 2025) confirmed Huang's claim; BLS construction wage growth outpacing white-collar since 2024; electrician/HVAC shortage widely reported.

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "six-figure wages",
  "mode": "FORECAST",
  "role": "Guest-CEO",
  "context": "Huang argues that because AI can't yet manipulate the physical world cheaply, skilled physical labor is protected from AI disruption and in fact amplified by the DC-buildout demand curve. Framed as a structural inversion of automation assumptions.",
  "to_year": 2030,
  "conv_cues": "will see a boom; explicit wage doubling",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "2026-2030",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-01-31",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-03-02",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2026-04-01",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "BLS publishes Q1 2026 wage data showing data-center technician wage growth",
      "source": "https://www.bls.gov/oes/ — BLS OEWS data, NAICS sector wage breakdown",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.75,
      "source_url": "https://www.bls.gov/oes/",
      "expected_date": "2026-04-30",
      "miss_emitted_at": "2026-05-08T22:15:34.476563+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-05-15",
        "from": "2026-04-15"
      },
      "measurement_criterion": "BLS Occupational Employment and Wage Statistics shows median wage for data center technicians (SOC 49-2022) grows ≥10% YoY"
    },
    {
      "kind": "event",
      "label": "Skilled trade labor (welders, HVAC, electricians, plumbers, heavy-equipment operators, network technicians) will experience a boom driven by",
      "status": "partial",
      "weight": 1,
      "ordinal": 0,
      "source_id": "INF_005",
      "expected_date": "2026-05-01",
      "observed_date": "2026-05-01"
    },
    {
      "kind": "llm_pre_event",
      "label": "Major hyperscaler announces dedicated trade-skills training partnership",
      "source": "Hyperscaler press releases, community college announcements",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 1,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2026-08-16",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-04-01"
      },
      "measurement_criterion": "Microsoft, Google, Meta, Amazon, OpenAI, or peer announces formal partnership with community college or union for AI-data-center skills training"
    },
    {
      "kind": "llm_pre_event",
      "label": "Major union (IBEW, UA) reports 20%+ apprenticeship enrollment growth",
      "source": "IBEW.org, UA national reports, BLS apprenticeship statistics",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 2,
      "source_id": null,
      "confidence": 0.6,
      "expected_date": "2026-09-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-12-31",
        
... (truncated)