Modeled estimates

Energy

Watts, water, and carbon behind every completion. Every number on this page is a modeled estimate smeared from a public print — not a live API, not a hard claim.

All Usage Compute Energy Capital Labor Research

Electricity · modeled estimate · today

Electricity used by AI today

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~5,920 / second

AI data-center IT capacity around 29.6 GW. We meter a 72% average load — training clusters spike, inference idles, cooling is extra.

About 21 GW continuous — a mid-sized country's evening demand.

Source: Stanford AI Index 2026 (29.6 GW AI data-center power capacity).

CO₂ · modeled estimate · today

CO₂ from AI electricity today

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~2,072 / second

Uses 0.35 kg CO₂ per kWh, a blended grid factor. Real footprints vary wildly by site: hydro in Quebec, gas in Memphis, coal in parts of Asia.

Grok 4's reported training emissions: 72,816 tons CO₂e — now a few hours of inference.

Source: Capacity from Stanford AI Index 2026; grid factor is a AiSignal estimate.

Home equivalent · modeled estimate · stock

Homes the AI grid could power

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~5 / minute

AI IT load versus a 1.2 kW average U.S. household draw. Cooling and site overhead are not fully included, so this is a lower bound on disruption.

On the order of New York State at peak, if you include the cooling plant.

Source: Stanford AI Index 2026 capacity; EIA household electricity intensity.