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236_049predictionMacro/Economyeconomy

US GDP per capita growing up up up because of AI

Predictor: Andrew Yang · ep#236 "Andrew Yang: UBI Before UHI, Solving Job Loss, and the Future of Work | #236" · source

Prior probability
60.0%
Current probability
43.2%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
5 / 0
Tickers exposed
31

Prediction text

US GDP per capita growing up up up because of AI | GDP right now is around $84,000 ahead. Uh it's going up up up because of AI.

Verbatim quote

From episode "Andrew Yang: UBI Before UHI, Solving Job Loss, and the Future of Work | #236"
GDP right now is around $84,000 ahead. Uh it's going up up up because of AI.

Predictor: Andrew Yang

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0178
excellent
Hits / Misses
0 / 0
of 3 resolved
Hit rate
0.0%
Calibration plot (stated vs observed)

Evidence about this node from Andrew Yang 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%2026-04-302026-05-032026-05-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 43.2%

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: 1 fired ✓ · 1 overdue ⏱
  1. 2026-01-31hitSt. Louis Fed AI-contribution-to-GDP nowcast Jan 2026
    How: St Louis Fed publishes AI-contribution-to-GDP analysis quantifying AI capex share
    Source: St. Louis Fed — Tracking AI's Contribution to GDP Growthconf 99%
    Notes: HIT — but Fed analysis showed AI 15% of Q2/Q3 2025 GDP growth and <5% of GDP overall — softens 'up up up because of AI' framing. Productivity gains still pending.
  2. 2026-04-25 → 2026-05-30overdueBEA real GDP per capita Q1 2026 prints
    How: BEA advance/second estimate of Q1 2026 real GDP per capita posted on FRED A939RX0Q048SBEA
    Source: FRED A939RX0Q048SBEA / BEA news releaseconf 99%
    Notes: Print due late April / May 2026 — directly observable comparison vs 2025 print.
  3. 2026-01-26hitAI-related capex categories rank top-2 driver of US GDP growth in any quarter
    How: AI-linked categories (info processing equipment + software) rank #1 or #2 contributor to quarterly real GDP growth in BEA decomposition
    Source: CNBC — AI spending wasn't biggest engine of US GDP growth in 2025conf 85%
    Notes: HIT — AI capex was #2 driver after consumption; Q1 IPE contribution 0.90pp (above dot-com peak).
  4. 2026-06-01 → 2026-12-31pendingUS nominal GDP per capita crosses $90,000 in 2026
    How: BEA-reported US nominal GDP per capita exceeds $90,000 in any 2026 quarterly print
    Source: BusinessTats / BEA — US 2026 GDP $29T figures imply ~$87-90K per capitaconf 78%
    Notes: Yang's stated $84K aligns with 2024-25 nominal; growth path puts 2026 at >$87K, not yet 'up up up'.
  5. 2026-06-01 → 2027-03-31pendingProductivity growth (nonfarm business output/hour) >2% YoY for 2026 sustained
    How: BLS nonfarm business sector productivity prints >=2% YoY for 3 consecutive quarters
    Source: BLS productivity seriesconf 45%
    Notes: Cascade — required for AI-driven GDP per capita 'up up up' to materialize in measurable form.

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: 43%)

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
metadata_milestone_miss_sweep2026-05-30T22:15:00Z43.2%-6.9pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.432 blend=0.432 LLR=-0.276 κ=0.69 no_blend
Raw metadata
{
  "trf": 1,
  "kappa": 0.6875,
  "base_rate": null,
  "predictor": "Andrew Yang",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.0008459034660545476,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.5002114758539035,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.680625,
      "label": "BEA real GDP per capita Q1 2026 prints",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.99,
      "source_url": "https://fred.stlouisfed.org/series/A939RX0Q048SBEA",
      "adjusted_llr": -0.2759696892061194,
      "expected_date": "2026-05-12",
      "measurement_criterion": "BEA advance/second estimate of Q1 2026 real GDP per capita posted on FRED A939RX0Q048SBEA"
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.3,
  "outside_weight": 0.7,
  "posterior_prob": 0.4316496481284149,
  "posterior_logit": -0.27512378574006485,
  "predictor_brier": 0.0178,
  "inside_posterior": 0.4316496481284149,
  "blended_posterior": 0.4316496481284149,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2759696892061194,
  "predictor_n_resolved": 3
}
LBP2026-05-03T02:00:01Z50.0%-1.5pp
Network propagation: 51.6% → 50.0%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z51.6%-2.9pp
Network propagation: 54.5% → 51.6%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z54.5%-5.5pp
Network propagation: 60.0% → 54.5%
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
killerTK10
$100T Sovereign Debt Crisis
12.0%0.0500.600+0.102
killerTK07
Labor Political Backlash (UBI Mandate / AI Tax)
18.0%0.0500.600+0.069
killerTK14
Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
20.0%0.0500.600+0.058
killerTK04
Macro Recession 2026-27 (Structural Deleveraging)
25.0%0.0500.600+0.031
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.600+0.003

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

31 ticker(s) linked

Beneficiaries (23)

UDMYBBAISRFMSOUNNVDACOURCRCLDOCNAIADUSGTLBZMAMZNGDDYGOOGLIBMMETAMSFTNFLXORCLRDDTSPOTUBER

Adverse (7)

KKRJNKAPOHYGKREXLYXHB

Prerequisites (5)

Predictions that must hit first
TypePredTitleDomainLag
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK07Labor Political Backlash (UBI Mandate / AI Tax)
killerTK10$100T Sovereign Debt Crisis

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=toE56X2h0wk",
  "mode": "THESIS",
  "role": "Guest-Politician",
  "context": "GDP right now is around $84,000 ahead. Uh it's going up up up because of AI.",
  "to_year": 2026,
  "verbatim": "GDP right now is around $84,000 ahead. Uh it's going up up up because of AI.",
  "conv_cues": "going up up up",
  "direction": "UP",
  "from_year": 2026,
  "timeframe": "Near-term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "St. Louis Fed AI-contribution-to-GDP nowcast Jan 2026",
      "notes": "HIT — but Fed analysis showed AI 15% of Q2/Q3 2025 GDP growth and <5% of GDP overall — softens 'up up up because of AI' framing. Productivity gains still pending.",
      "source": "St. Louis Fed — Tracking AI's Contribution to GDP Growth",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.stlouisfed.org/on-the-economy/2026/jan/tracking-ai-contribution-gdp-growth",
      "expected_date": "2026-01-31",
      "observed_date": "2026-01-31",
      "research_origin": "deep_research",
      "measurement_criterion": "St Louis Fed publishes AI-contribution-to-GDP analysis quantifying AI capex share"
    },
    {
      "kind": "llm_pre_event",
      "label": "BEA real GDP per capita Q1 2026 prints",
      "notes": "Print due late April / May 2026 — directly observable comparison vs 2025 print.",
      "source": "FRED A939RX0Q048SBEA / BEA news release",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://fred.stlouisfed.org/series/A939RX0Q048SBEA",
      "expected_date": "2026-05-12",
      "miss_emitted_at": "2026-05-30T22:15:00.756418+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-05-30",
        "from": "2026-04-25"
      },
      "measurement_criterion": "BEA advance/second estimate of Q1 2026 real GDP per capita posted on FRED A939RX0Q048SBEA"
    },
    {
      "kind": "event",
      "label": "US GDP per capita growing up up up because of AI",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "236_049",
      "expected_date": "2026-06-18",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "AI-related capex categories rank top-2 driver of US GDP growth in any quarter",
      "notes": "HIT — AI capex was #2 driver after consumption; Q1 IPE contribution 0.90pp (above dot-com peak).",
      "source": "CNBC — AI spending wasn't biggest engine of US GDP growth in 2025",
      "status": "hit",
      "weight": 0.4,
      "ordinal": 1,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.cnbc.com/2026/01/26/ai-wasnt-the-biggest-engine-of-us-gdp-growth-in-2025.html",
      "expected_date": "2026-07-02",
      "observed_date": "2026-01-26",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-01-01"
      },
      "measurement_criterion": "AI-linked categories (info processing equipment + software) rank #1 or #2 contributor to quarterly real GDP growth in BEA decomposition"
    },
    {
      "kind": "llm_pre_event",
      "label": "US nominal GDP per capita crosses $90,000 in 2026",
      "notes": "Yang's stated $84K aligns with 2024-25 nominal; growth path puts 2026 at >$87K, not yet 'up up up'.",
      "source": "BusinessTats / BEA — US 2026 GDP $29T figures imply ~$87-90K per capita",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 2,
      "source_id": null,
      "confidence": 0.78,
      "source_url": "https://businesstats.com/gdp-of-the-united-states/",
      "expected_date": "2026-09-15",
      "research_origin": "deep_research",
      "expected_date_range": {
... (truncated)