Welcome! I’m David Mytton, CEO of Arcjet (helping developers protect their apps), co-founder of Console (the best tools for developers), and an active devtools investor.
I am also researching sustainable computing at the University of Oxford and occasionally appear in the media to discuss data center & IT energy.
Latest posts
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New estimates put frontier-model inference at 0.31 Wh per query, rising to 3.91 Wh for long reasoning and 0.73 GWh/day at 1B queries, but agentic workloads complicate the picture.
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US data center electricity use is around 180 TWh today and credible forecasts point to 400-600 TWh by 2030, but chips, grids, politics, and the changing shape of AI workloads make estimates difficult.
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The ability to complete no longer hinges solely on how many features you can build. The engineering gap between a two-person startup and a hundred-person org has collapsed.
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Near term, expect more self-provisioned power while transmission and substations catch up. Long term, nuclear is a perfect fit for data centers.
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Google has published the first breakdown of an in-production, global fleet-level AI system serving real queries. Results show per text prompt energy consumption of 0.24 Wh.