How much energy do data centers and artificial intelligence use?
This article examines the energy consumption of data centers and AI, distinguishing between model training and inference. It highlights that while AI energy demand is a growing concern, inference currently dominates total electricity usage.
Why it matters
As AI adoption scales, understanding its environmental footprint is crucial for policy-making and sustainable infrastructure development.
Energy How much energy do data centers and artificial intelligence use? Data centers consume around 1.5% of global electricity, but demand is very geographically concentrated. By Hannah Ritchie July 20, 2026 Browse past versions Cite this article Reuse our work freely Few — if any — technologies have been adopted as quickly as artificial intelligence (AI). Since that computation runs on electricity, discussions around AI often return to what this means for energy demand.
These concerns tend to take three forms. One is environmental: growing energy demand for artificial intelligence will drive increases in carbon emissions, and make it harder to decarbonize. Another is the impact on local communities: high electricity demand could strain local supplies and push up energy prices. The third is that AI’s energy consumption could be the technology’s bottleneck; for those who want to see it expand, this could be a key limiting factor.
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