Proof Engine Verification: Training and running today's frontier AI models consumes more electricity than entire small countries.

Automated fact-verification of the claim: "Training and running today's frontier AI models consumes more electricity than entire small countries." Verdict: PROVED Key Findings A typical AI-focused data centre (which the International Energy Agency (IEA) defines as a facility performing both AI training and inference) consumes 1,050 GWh of electricity per year — equivalent to 100,000 US households. Nauru, the smallest UN member state with documented electricity data (~11,000 people), consumes 37.89 GWh per year — the entire nation. A single typical AI-focused data centre therefore consumes 27.7 times more electricity annually than all of Nauru (1,050 GWh vs. 37.89 GWh). Independent cross-check: a peer-reviewed 2025 study (Harding & Moreno-Cruz, Environmental Research Letters) found US AI electricity alone is comparable to Iceland's total electricity (~19,580 GWh) — 517 times more than Nauru. Files proof.py — Re-runnable Python verification script proof.md — Structured proof report proof_audit.md — Full verification audit trail proof_narrative.md — Plain-language summary proof.json — Machine-readable structured data Generated by Proof Engine v0.10.0.