← Cockpit
241_020predictionEnergyAI-timing

1 GW of power = ~$50 billion in hardware/software/data centers

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

Prior probability
60.0%
Current probability
48.6%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
14 / 5
Tickers exposed
33

Prediction text

1 GW of power = ~$50 billion in hardware/software/data centers | a gigawatt of power corresponds to about 50 billion dollars of hardware, software, data centers

Verbatim quote

From episode "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage"
a gigawatt of power corresponds to about 50 billion dollars of hardware, software, data centers

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: energy_grid_rebuild_5y

Linked via embedding similarity 0.703

Major grid expansion (>50GW) within 5y of announce

Base rate
50.0%
3/6 historical
Inside weight
0.300
TRF=1.00
Outside weight
0.700
pulling toward base rate
inside 45.4% → blend 48.6% 3.2pp)

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

3 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-04-302026-05-02
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 48.6%

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: 9 fired ✓ · 1 overdue ⏱
  1. 2025-12-31hitIndustry confirms $45-55B per gigawatt for AI data centers
    How: Multiple credible analyst firms publish gigawatt-scale AI data center cost in $40-60B range, validating Schmidt's $50B/GW estimate
    Source: https://medium.com/@tarifabeach/the-real-cost-of-a-gigawatt-data-center-in-the-ai-era-a0f9615585a3conf 99%
    Notes: HIT — Bernstein estimates ~$35B/GW; Nvidia leadership $50-60B/GW. Schmidt's $50B is mid-range consensus.
  2. 2025-12-31hitMcKinsey forecasts $5.2T data center buildout to 2030
    How: McKinsey or peer publishes forecast of $5T+ aggregate AI data center investment 2025-2030 with 125+ GW added
    Source: https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-cost-of-compute-a-7-trillion-dollar-race-to-scale-data-centersconf 99%
    Notes: HIT — McKinsey: $5.2T DC investment by 2030 for 156 GW AI capacity (125 GW incremental). Implies $33-42B per incremental GW, consistent with Schmidt.
  3. 2025-01-01 → 2026-12-31overdueSingle 1+ GW AI campus announced and capitalized
    How: At least one publicly disclosed 1 GW+ AI data center campus with confirmed financing in $40-60B range
    Source: Stargate Project, OpenAI/Oracle partnerships, Meta Hyperionconf 95%
    Notes: Stargate ($500B/10GW = $50B/GW) and Meta Hyperion both announced in 2025.
  4. 2025-12-31hitAI-optimized rack costs reach $20M+/MW (2x standard)
    How: Industry reports confirm AI-optimized facility cost $20M+/MW vs standard $10-12M/MW
    Source: https://www.alpha-matica.com/post/deconstructing-the-data-center-a-look-at-the-cost-structure-1conf 90%
    Notes: HIT — AI-optimized facilities cost $20M+/MW vs standard $10-12M/MW, supporting $50B/GW total.
  5. 2026-02-15hitHyperscaler 2026 capex hits $630B
    How: Big Four hyperscalers (Amazon, Google, Microsoft, Meta) collectively guide 2026 capex ≥$600B, ~62% YoY
    Source: https://datacenterrichness.substack.com/p/hyperscalers-plan-630-billion-inconf 99%
    Notes: HIT — Big Four 2026 capex guide $530-640B (Amazon $200B, Google $175-185B, Meta $115-135B, Microsoft $110-120B).
  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: 49%)

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_sweep2026-05-02T22:07:21Z48.6%-3.4pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.454 blend=0.486 LLR=-0.265 κ=0.69 w_in=0.30 energy_grid_rebuild_5y
Raw metadata
{
  "trf": 1,
  "kappa": 0.6875,
  "base_rate": 0.5,
  "predictor": "Eric Schmidt",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.0792255831802815,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "blend 30% inside / 70% outside (TRF=1.000, base_rate=0.500 from energy_grid_rebuild_5y)",
  "inside_prior": 0.519796042404657,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": true,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.653125,
      "label": "Single 1+ GW AI campus announced and capitalized",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.95,
      "source_url": null,
      "adjusted_llr": -0.26481939873314486,
      "expected_date": "2025-12-31",
      "measurement_criterion": "At least one publicly disclosed 1 GW+ AI data center campus with confirmed financing in $40-60B range"
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.3,
  "outside_weight": 0.7,
  "posterior_prob": 0.4860840586640164,
  "posterior_logit": -0.18559381555286336,
  "predictor_brier": 0.0064,
  "inside_posterior": 0.45373427209924877,
  "blended_posterior": 0.4860840586640164,
  "reference_class_id": "energy_grid_rebuild_5y",
  "total_adjusted_llr": -0.26481939873314486,
  "predictor_n_resolved": 3
}
LBP2026-04-30T16:39:51Z52.0%-1.1pp
Network propagation: 53.0% → 52.0%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
legacy v12026-04-30T01:56:50Z53.0%-7.0pp
reference_class_assigned bayesian_v2 inside=0.600 blend=0.530 w_in=0.30 energy_grid_rebuild_5y

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
killerTK09
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killerTK06
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8.0%0.0500.600+0.070
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.059
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.600+0.048
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6000.050-0.036

Top outgoing (children)

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Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (14)

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_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
correlateS_COMPUTE_1GW_2027Compute: 1GW operational by Jun 2027compute_scale
correlateS_COMPUTE_10GW_2028Compute: 10GW total by Dec 2028compute_scale
correlateS_GRID_50GW_202750GW dedicated AI/data center grid by Dec 2027energy_grid_expansion
correlateS_COMPUTE_100GW_2030Compute: 100GW national-scale by Dec 2030compute_scale
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)
killerTK06China-Taiwan Military Conflict

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,
  "qty": "$50B per GW",
  "url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
  "mode": "FORECAST",
  "role": "Guest-CEO",
  "caveats": "depending on numbers",
  "context": "a gigawatt of power corresponds to about 50 billion dollars",
  "to_year": 2026,
  "verbatim": "a gigawatt of power corresponds to about 50 billion dollars of hardware, software, data centers",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "present/near-term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Industry confirms $45-55B per gigawatt for AI data centers",
      "notes": "HIT — Bernstein estimates ~$35B/GW; Nvidia leadership $50-60B/GW. Schmidt's $50B is mid-range consensus.",
      "source": "https://medium.com/@tarifabeach/the-real-cost-of-a-gigawatt-data-center-in-the-ai-era-a0f9615585a3",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://medium.com/@tarifabeach/the-real-cost-of-a-gigawatt-data-center-in-the-ai-era-a0f9615585a3",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Multiple credible analyst firms publish gigawatt-scale AI data center cost in $40-60B range, validating Schmidt's $50B/GW estimate"
    },
    {
      "kind": "llm_pre_event",
      "label": "McKinsey forecasts $5.2T data center buildout to 2030",
      "notes": "HIT — McKinsey: $5.2T DC investment by 2030 for 156 GW AI capacity (125 GW incremental). Implies $33-42B per incremental GW, consistent with Schmidt.",
      "source": "https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-cost-of-compute-a-7-trillion-dollar-race-to-scale-data-centers",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-cost-of-compute-a-7-trillion-dollar-race-to-scale-data-centers",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "McKinsey or peer publishes forecast of $5T+ aggregate AI data center investment 2025-2030 with 125+ GW added"
    },
    {
      "kind": "llm_pre_event",
      "label": "Single 1+ GW AI campus announced and capitalized",
      "notes": "Stargate ($500B/10GW = $50B/GW) and Meta Hyperion both announced in 2025.",
      "source": "Stargate Project, OpenAI/Oracle partnerships, Meta Hyperion",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.95,
      "expected_date": "2025-12-31",
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2025-01-01"
      },
      "measurement_criterion": "At least one publicly disclosed 1 GW+ AI data center campus with confirmed financing in $40-60B range"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI-optimized rack costs reach $20M+/MW (2x standard)",
      "notes": "HIT — AI-optimized facilities cost $20M+/MW vs standard $10-12M/MW, supporting $50B/GW total.",
      "source": "https://www.alpha-matica.com/post/deconstructing-the-data-center-a-look-at-the-cost-structure-1",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://www.alpha-matica.com/post/deconstructing-the-data-center-a-look-at-the-cost-structure-1",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Industry reports confirm AI-optimized facility c
... (truncated)