← Cockpit
241_016predictionEnergyAI-timing

92 GW power shortage in America between now and 2030

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

Prior probability
60.0%
Current probability
50.8%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-01-01 – 2026-10-31
Edges in / out
11 / 5
Tickers exposed
33

Prediction text

92 GW power shortage in America between now and 2030 | there was an estimated 92 gigawatts shortage of power in America in the next between now and 2030

Verbatim quote

From episode "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage"
there was an estimated 92 gigawatts shortage of power in America in the next between now and 2030

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 0.633

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

Base rate
50.0%
3/6 historical
Inside weight
Outside weight
no pull
inside 50.8% → blend 50.8% 0.0pp)

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

6 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-04-302026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 50.8%

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 ✓ · 1 pending
  1. 2026-03-15hitEric Schmidt cites 92GW shortage figure publicly
    How: Eric Schmidt or US grid policy official publicly cites a ~92GW US power shortage estimate for the 2025-2030 horizon
    Source: https://www.diamandis.com/podcast/eric-schmidt-singularitys-arrivalconf 99%
    Notes: HIT — Schmidt cited 92GW figure on Moonshots #241 podcast.
  2. 2026-04-01hitS&P Global confirms 22% data-center grid demand rise in 2025-2026
    How: S&P Global reports 22%+ year-over-year increase in US data center grid power demand
    Source: https://www.spglobal.com/energy/en/news-research/latest-news/electric-power/101425-data-center-grid-power-demand-to-rise-22-in-2025-nearly-triple-by-2030conf 99%
  3. 2026-06-30pendingPJM declares 2027 reliability shortfall of 6GW
    How: PJM Interconnection publishes formal capacity shortfall projection >=6GW for 2027 in resource adequacy report
    Source: https://interestingengineering.com/energy/ai-power-grid-data-centers-usconf 90%
  4. 2026-07-01 → 2027-06-30pendingFederal grid emergency authority invoked for AI data centers
    How: DOE invokes Federal Power Act §202(c) emergency authority or executive order on grid capacity citing AI demand
    Source: Federal Register; DOE pressconf 40%
  5. 2026-12-31pendingUS data center demand reaches 75GW in 2026 per S&P
    How: S&P Global confirms 2026 US data center demand of 75GW+ (on path to 134GW by 2030)
    Source: https://www.spglobal.com/energy/en/news-research/latest-news/electric-power/101425-data-center-grid-power-demand-to-rise-22-in-2025-nearly-triple-by-2030conf 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: 51%)

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
LBP2026-05-17T02:00:01Z50.8%-1.1pp
Network propagation: 51.8% → 50.8%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-03T02:00:01Z51.8%-1.5pp
Network propagation: 53.3% → 51.8%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z53.3%-2.0pp
Network propagation: 55.4% → 53.3%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
legacy v12026-04-30T16:13:50Z55.4%+1.6pp
reference_class_assigned bayesian_v2 inside=0.600 blend=0.554 w_in=0.53 energy_grid_rebuild_5y
LBP2026-04-30T02:18:57Z53.8%-1.6pp
Network propagation: 55.3% → 53.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef
legacy v12026-04-30T01:56:50Z55.3%-4.7pp
reference_class_assigned bayesian_v2 inside=0.600 blend=0.553 w_in=0.53 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
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6000.050-0.057
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6000.050-0.049
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.6000.050-0.039
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.037
prereq238_009
Recursive self-improvement is already happening now (no longAlex Wissner-Gross
78.1%0.6000.050-0.033

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.022
prereq231_013
Math is cooked (will be solved), physics cooked, biology chaAlex Wissner-Gross
35.4%0.6200.050-0.018
prereqCMQ_002
By 2028, AI systems will reach 'independent researcher' leveSam Altman
31.4%0.5500.050-0.013
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.009
prereq241_043
ASI will arrive within 2 years to 5 years to this next decadPeter Diamandis
35.9%0.6500.050-0.007

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (11)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereq238_009Recursive self-improvement is already happening now (no longer three years out)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
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_STARGATE_FAILUREStargate failure: <500MW by 2029compute_scale
correlateS_GRID_50GW_DELAYED50GW grid expansion delayed past 2031energy_grid_expansion
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
prereq232_055We're exiting the industrial age permanently as recursive self-improvement unfolds.AI
prereq241_043ASI will arrive within 2 years to 5 years to this next decadeAI
prereq231_013Math is cooked (will be solved), physics cooked, biology char broiled.AI
prereqCMQ_002By 2028, AI systems will reach 'independent researcher' level — driving autonomous scientific discoveries without human intervention.AI

Linked documents (2)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.546edgar_8kPLUG POWER INC (PLUG) (CIK 0001093691)mentionspending2026-05-11
0.546edgar_8kPLUG POWER INC (PLUG) (CIK 0001093691)mentionspending2026-06-04

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "92 GW shortage",
  "url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
  "mode": "FORECAST",
  "role": "Guest-CEO",
  "caveats": "estimate",
  "context": "estimated 92 gigawatts shortage of power in America in the next between now and 2030",
  "to_year": 2030,
  "verbatim": "there was an estimated 92 gigawatts shortage of power in America in the next between now and 2030",
  "conv_cues": "estimated",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "by 2030",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Eric Schmidt cites 92GW shortage figure publicly",
      "notes": "HIT — Schmidt cited 92GW figure on Moonshots #241 podcast.",
      "source": "https://www.diamandis.com/podcast/eric-schmidt-singularitys-arrival",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.diamandis.com/podcast/eric-schmidt-singularitys-arrival",
      "expected_date": "2026-03-15",
      "observed_date": "2026-03-15",
      "research_origin": "deep_research",
      "measurement_criterion": "Eric Schmidt or US grid policy official publicly cites a ~92GW US power shortage estimate for the 2025-2030 horizon"
    },
    {
      "kind": "llm_pre_event",
      "label": "S&P Global confirms 22% data-center grid demand rise in 2025-2026",
      "source": "https://www.spglobal.com/energy/en/news-research/latest-news/electric-power/101425-data-center-grid-power-demand-to-rise-22-in-2025-nearly-triple-by-2030",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.spglobal.com/energy/en/news-research/latest-news/electric-power/101425-data-center-grid-power-demand-to-rise-22-in-2025-nearly-triple-by-2030",
      "expected_date": "2026-04-01",
      "observed_date": "2026-04-01",
      "research_origin": "deep_research",
      "measurement_criterion": "S&P Global reports 22%+ year-over-year increase in US data center grid power demand"
    },
    {
      "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": -5,
      "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": -4,
      "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": -3,
      "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": -2,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "PJM declares 2027 reliability shortfall of 6GW",
      "source": "https://interestingengineering.com/energy/ai-power-grid-data-centers-us",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://interestingengineering.com/energy/ai-power-grid-data-centers-us",
      "expected_date": "2026-06-30",
      "research_origin": "deep_research",
      "measurement_criterion": "PJM Interconnection publishes formal capacity shortfall projection >=6GW
... (truncated)