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Independent research & opinion. Gradings are automated / LLM-assisted and may contain errors or hallucinations; nothing here is a statement of fact, financial advice, or an accusation of wrongdoing by any party. Claims about identifiable people or organizations reflect public records + good-faith interpretation; intent is not inferred from association. Methodology & disclaimer.

Energy / power leg — the AI + defense power bottleneck, nuclear/SMR PPAs, the turbine wall, and the Russia-enrichment chokepoint

Built from research/energy-power.json (web-verified: IEA Energy & AI; US DOE; PJM auction releases; Utility Dive/GE Vernova; Centrus 8-Ks; DOE/NRC on the Russian-uranium ban). Models: models/graph/energy_web.py, models/z3/power_adequacy.py. Power demand/grid charted elsewhere.

Thesis. Power is a binding physical constraint on the AI buildout, not a footnote. New firm supply lags AI demand every year through 2028; the hyperscalers are racing into nuclear/SMR PPAs; gas turbines have a multi-year backlog; and the fuel for advanced reactors runs through a Russia-controlled enrichment chokepoint.

1. Demand — AI is ~half of US load growth

2. The hyperscaler nuclear/SMR scramble

These are the AI core reaching for firm, carbon-free baseload — but most SMR capacity is late-decade, behind the demand curve.

3. The supply walls

4. The formal results

5. Why on-thesis

Power is one of the three physical chokepoints (capital, rare earths, power+HALEU), and two of the three are adversary-controlled. Cross-ref macro-ai-power-grid-bottleneck, macro-ai-datacenter-water-siting, geopolitics-russia-energy-arctic, defense-rare-earth.

Sources: DOE — data-center electricity demand; Utility Dive — PJM auction; Utility Dive — Russian uranium ban / HALEU; Centrus — 900 kg HALEU milestone.

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