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241_022predictionMacro/Economyeconomy

Data center buildout is ~1% of US GDP growth

Predictor: Eric Schmidt · ep#241 "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage" · source

Prior probability
60.0%
Current probability
45.4%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-01-01 – 2026-12-31
Edges in / out
5 / 5
Tickers exposed
37

Prediction text

Data center buildout is ~1% of US GDP growth | the data center build out is 1% of the GDP of America growth

Verbatim quote

From episode "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage"
the data center build out is 1% of the GDP of America growth

Predictor: Eric Schmidt

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0064
excellent
Hits / Misses
3 / 0
of 3 resolved
Hit rate
100.0%
Calibration plot (stated vs observed)

Evidence about this node from Eric Schmidt 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

6 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 45.4%

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: 3 fired ✓ · 2 overdue ⏱ · 1 pending
  1. 2026-01-15hitAI capex contributes 1.1% to GDP growth in H1 2025 baseline
    How: St. Louis Fed / BEA data confirm AI-related capital expenditures contributed >=1.0% to GDP growth in 1H 2025, establishing baseline
    Source: https://www.stlouisfed.org/on-the-economy/2026/jan/tracking-ai-contribution-gdp-growth — St. Louis Fedconf 95%
  2. 2026-02-15hitData center construction hits $40B annual rate (June 2025 baseline)
    How: Census Bureau monthly construction spending data shows data center construction at >=$40B annual rate, +30% YoY
    Source: https://paulkedrosky.com/honey-ai-capex-ate-the-economy/ — $40B construction rateconf 92%
  3. 2026-02-23overdueQ1 window check-in (25%)
  4. 2026-04-17overdueQ2 window check-in (50%)
  5. 2026-04-30hitQ1 2026 AI investments drive 75% of GDP increase
    How: BEA Q1 2026 advance estimate decomposition shows AI investments contributed >=70% of the 2.0% Q1 GDP growth
    Source: https://cryptobriefing.com/us-gdp-grows-20-in-q1-2026-ai-investments-drive-75-of-increase/ — Q1 2026 GDPconf 90%
  6. 2026-06-09pendingQ3 window check-in (75%)
  7. 2026-08-31pending2026 hyperscaler AI capex reaches $700B (~doubles 2025)
    How: Combined Magnificent-7 reported H1 2026 AI capex >=$340B, on track for $700B full-year (vs $365B in 2025)
    Source: https://www.abhs.in/blog/microsoft-meta-google-amazon-q1-2026-earnings-ai-capex-630-billion-preview — Q1 2026 earningsconf 80%
  8. 2026-12-31pendingGlobal data center capex CAGR confirms 21% trajectory toward $1.2T by 2029
    How: DCD or equivalent industry tracker confirms 2026 global data center capex on >=20% CAGR toward $1.2T by 2029
    Source: https://www.datacenterdynamics.com/en/news/as-ai-capex-leads-us-economy-global-data-center-capex-projected-to-grow-at-21-percent-cagr-to-12tn-by-2029/ — DCD 21% CAGRconf 75%
  9. 2026-09-01 → 2027-06-30pendingCascade: Construction subsegment 'data center' formally separated from 'office' in BEA data
    How: BEA or Census Bureau publishes data center as a standalone construction category, recognizing macro relevance
    Source: Pattern extrapolation from BEA office-bundled disclosureconf 40%

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: 45%)

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
LBP2026-05-17T02:00:01Z45.4%+1.3pp
Network propagation: 44.1% → 45.4%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z44.1%+2.5pp
Network propagation: 41.6% → 44.1%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z41.6%+4.9pp
Network propagation: 36.7% → 41.6%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
metadata_milestone_miss_sweep2026-05-02T22:07:21Z36.7%-13.6pp
metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.367 blend=0.367 LLR=-0.558 κ=0.69 no_blend
Raw metadata
{
  "trf": 0.6650500679109432,
  "kappa": 0.6875,
  "base_rate": null,
  "predictor": "Eric Schmidt",
  "total_llr": -0.8109302162163288,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.012971972169434767,
  "bayes_factor": "1.7:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.5032429475676967,
  "kappa_source": "predictor_table",
  "n_milestones": 2,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6875,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.278757261824363,
      "expected_date": "2026-02-23",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6875,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.278757261824363,
      "expected_date": "2026-04-17",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5344649524623397,
  "outside_weight": 0.4655350475376603,
  "posterior_prob": 0.36713150317480536,
  "posterior_logit": -0.5445425514792912,
  "predictor_brier": 0.0064,
  "inside_posterior": 0.36713150317480536,
  "blended_posterior": 0.36713150317480536,
  "reference_class_id": null,
  "total_adjusted_llr": -0.557514523648726,
  "predictor_n_resolved": 3
}
LBP2026-04-30T16:39:51Z50.3%-3.3pp
Network propagation: 53.7% → 50.3%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z53.7%-6.3pp
Network propagation: 60.0% → 53.7%
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+0.080
killerTK07
Labor Political Backlash (UBI Mandate / AI Tax)
18.0%0.0500.600+0.047
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.600-0.047
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.600-0.019
killerTK04
Macro Recession 2026-27 (Structural Deleveraging)
25.0%0.0500.600+0.008

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq246_003
Global economy will grow 10x in 10 years (cited from Elon MuElon Musk
37.3%0.5500.050-0.093
prereq248_009
Elon Musk's economy will grow 10x in about 10 years.Elon Musk
37.3%0.5500.050-0.093
prereq230_035
GDP will 2x or 3x year-over-year in early 2030s if everythinAlex Wissner-Gross
32.0%0.4500.050-0.086
prereq239_027
Diamandis cites Musk: triple-digit GDP growth in 5+ yearsElon Musk
34.0%0.5000.050-0.083
prereq239_001
Global economy will be 10x its current size in 10 yearsElon Musk
37.7%0.6000.050-0.074

Ticker exposure

37 ticker(s) linked

Beneficiaries (23)

AINVDAADUSGTLBBBAIUDMYCOURCRCLSRFMSOUNDOCNZMAMZNGDDYGOOGLIBMMETAMSFTNFLXORCLRDDTSPOTUBER

Adverse (7)

XHBJNKKKRKREAPOXLYHYG

Prerequisites (5)

Predictions that must hit first
TypePredTitleDomainLag
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK07Labor Political Backlash (UBI Mandate / AI Tax)
killerTK10$100T Sovereign Debt Crisis

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq239_001Global economy will be 10x its current size in 10 yearsMacro/Economy
prereq246_003Global economy will grow 10x in 10 years (cited from Elon Musk).Macro/Economy
prereq248_009Elon Musk's economy will grow 10x in about 10 years.Macro/Economy
prereq239_027Diamandis cites Musk: triple-digit GDP growth in 5+ yearsMacro/Economy
prereq230_035GDP will 2x or 3x year-over-year in early 2030s if everything goes well.Macro/Economy

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "1% of GDP growth",
  "url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
  "mode": "FORECAST",
  "role": "Guest-CEO",
  "context": "the data center build out is 1% of the GDP of America growth",
  "to_year": 2026,
  "verbatim": "the data center build out is 1% of the GDP of America growth",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "present",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "AI capex contributes 1.1% to GDP growth in H1 2025 baseline",
      "source": "https://www.stlouisfed.org/on-the-economy/2026/jan/tracking-ai-contribution-gdp-growth — St. Louis Fed",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.stlouisfed.org/on-the-economy/2026/jan/tracking-ai-contribution-gdp-growth",
      "expected_date": "2026-01-15",
      "observed_date": "2026-01-15",
      "research_origin": "deep_research",
      "measurement_criterion": "St. Louis Fed / BEA data confirm AI-related capital expenditures contributed >=1.0% to GDP growth in 1H 2025, establishing baseline"
    },
    {
      "kind": "llm_pre_event",
      "label": "Data center construction hits $40B annual rate (June 2025 baseline)",
      "source": "https://paulkedrosky.com/honey-ai-capex-ate-the-economy/ — $40B construction rate",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.92,
      "source_url": "https://paulkedrosky.com/honey-ai-capex-ate-the-economy/",
      "expected_date": "2026-02-15",
      "observed_date": "2026-02-15",
      "research_origin": "deep_research",
      "measurement_criterion": "Census Bureau monthly construction spending data shows data center construction at >=$40B annual rate, +30% YoY"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-02-23",
      "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": "2026-04-17",
      "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": "Q1 2026 AI investments drive 75% of GDP increase",
      "source": "https://cryptobriefing.com/us-gdp-grows-20-in-q1-2026-ai-investments-drive-75-of-increase/ — Q1 2026 GDP",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://cryptobriefing.com/us-gdp-grows-20-in-q1-2026-ai-investments-drive-75-of-increase/",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "BEA Q1 2026 advance estimate decomposition shows AI investments contributed >=70% of the 2.0% Q1 GDP growth"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2026-06-09",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "Data center buildout is ~1% of US GDP growth",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "241_022",
      "expected_date": "2026-08-02",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "2026 hyperscaler AI capex reaches $700B (~doubles 2025)",
      "source": "https://www.abhs.in/b
... (truncated)