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
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
a gigawatt of power corresponds to about 50 billion dollars of hardware, software, data centers
Predictor: Eric Schmidt
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
Major grid expansion (>50GW) within 5y of announce
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
Milestone chain
- 2025-12-31hitIndustry confirms $45-55B per gigawatt for AI data centersHow: Multiple credible analyst firms publish gigawatt-scale AI data center cost in $40-60B range, validating Schmidt's $50B/GW estimateSource: 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.
- 2025-12-31hitMcKinsey forecasts $5.2T data center buildout to 2030How: McKinsey or peer publishes forecast of $5T+ aggregate AI data center investment 2025-2030 with 125+ GW addedSource: 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.
- 2025-01-01 → 2026-12-31overdueSingle 1+ GW AI campus announced and capitalizedHow: At least one publicly disclosed 1 GW+ AI data center campus with confirmed financing in $40-60B rangeSource: Stargate Project, OpenAI/Oracle partnerships, Meta Hyperionconf 95%Notes: Stargate ($500B/10GW = $50B/GW) and Meta Hyperion both announced in 2025.
- 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/MWSource: 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.
- 2026-02-15hitHyperscaler 2026 capex hits $630BHow: Big Four hyperscalers (Amazon, Google, Microsoft, Meta) collectively guide 2026 capex ≥$600B, ~62% YoYSource: 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).
What if this resolves?
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
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
}Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| killer | TK09 Energy Grid Cap (Data Center Power Wall) | 35.0% | 0.050 | 0.600 | -0.079 |
| killer | TK06 China-Taiwan Military Conflict | 8.0% | 0.050 | 0.600 | +0.070 |
| killer | TK03 AI Regulatory Moratorium (EU/US Capability Freeze) | 10.0% | 0.050 | 0.600 | +0.059 |
| killer | TK02 AI Compute Supply Shock (TSMC/Taiwan Disruption) | 12.0% | 0.050 | 0.600 | +0.048 |
| prereq | SEM_042 2025 will be the definitive year that agentic systems finall — Kevin Weil | 73.8% | 0.600 | 0.050 | -0.036 |
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 246_016 Dragonfly nuclear-powered octicopter arrives at Titan in 203 — Peter Diamandis | 35.6% | 0.650 | 0.050 | -0.015 |
| prereq | SEM_034 True artificial general intelligence will be achieved betwee — Demis Hassabis | 28.7% | 0.550 | 0.050 | +0.005 |
| prereq | 239_008 Moon base will exist in 10 years — Elon Musk | 28.8% | 0.550 | 0.050 | +0.004 |
| prereq | 235_030 Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203 — Ray Kurzweil | 39.2% | 0.750 | 0.050 | -0.003 |
| prereq | 240_036 TEPCO's restarted reactor will support 20% of Japan's electr — Peter Diamandis | 34.3% | 0.650 | 0.050 | -0.002 |
Ticker exposure
Beneficiaries (23)
Adverse (6)
Prerequisites (14)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 238_009 | Recursive self-improvement is already happening now (no longer three years out) | AI | — |
| prereq | 235_038 | David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026. | Biotech/Longevity | — |
| prereq | SEM_008 | Training runs costing $10 billion for a single model will commence sometime in 2025. | AI | — |
| prereq | SEM_042 | 2025 will be the definitive year that agentic systems finally hit the mainstream. | AI/Agents | — |
| prereq | SEM_012 | Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering. | AI/Manufacturing | — |
| correlate | S_COMPUTE_1GW_2027 | Compute: 1GW operational by Jun 2027 | compute_scale | — |
| correlate | S_COMPUTE_10GW_2028 | Compute: 10GW total by Dec 2028 | compute_scale | — |
| correlate | S_GRID_50GW_2027 | 50GW dedicated AI/data center grid by Dec 2027 | energy_grid_expansion | — |
| correlate | S_COMPUTE_100GW_2030 | Compute: 100GW national-scale by Dec 2030 | compute_scale | — |
| killer | TK09 | Energy Grid Cap (Data Center Power Wall) | — | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK02 | AI Compute Supply Shock (TSMC/Taiwan Disruption) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
| killer | TK06 | China-Taiwan Military Conflict | — | — |
Dependents (5)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 235_030 | Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033. | Biotech/Longevity | — |
| prereq | 246_016 | Dragonfly nuclear-powered octicopter arrives at Titan in 2034. | Space | — |
| prereq | 240_036 | TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040 | Energy | — |
| prereq | SEM_034 | True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'. | AI/AGI | — |
| prereq | 239_008 | Moon base will exist in 10 years | Space | — |
Raw metadata
{
"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,
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"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)