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Energy6/day by emailReported
AI data centres worldwide reached a power capacity comparable to New York State at peak demand in 2025, which Stanford's AI Index puts at 29.6 gigawatts
Verified 2026-08-04
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- OpenAI does not disclose GPT-4o's resource footprint, so Stanford's 2026 AI Index Report turned to independent researchers' estimates of the water needed to cool the servers behind it — as much as 1.58 million kilolitres a year — more than 1.2 million people drink annually
- AI training's carbon footprint has scaled by orders of magnitude. Stanford's 2026 AI Index estimates that training AlexNet in 2012 produced about 0.01 tons of CO2 equivalent, while training xAI's Grok 4 in 2025 produced roughly 72,816 tons of CO2 equivalent — over 1,150 times the lifetime emissions of an average car
- Constellation Energy's newly acquired Calpine subsidiary signed a new agreement in February 2026 to connect and power a CyrusOne data centre next to its Freestone Energy Center in Texas — plus an exclusive option on a second phase of equal size — for an initial 380 megawatts of power committed to a single AI-era data centre in Texas (Calpine-CyrusOne deal)