Short answer
AI systems consume large amounts of electricity through training, inference and supporting data center infrastructure. This counter estimates AI electricity use today.
What this means
Artificial intelligence is increasingly embedded in digital activity, infrastructure, research and everyday workflows.
This indicator helps quantify one aspect of that transformation and makes the underlying trend easier to follow over time.
Methodology
This estimate is derived from an AI-attributable annual electricity baseline converted into a per-second rate and accumulated daily or year-to-date. Methodology.
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FAQ
Why does AI consume electricity?
AI models require computation on specialized hardware, and this hardware runs inside data centers that also require cooling and supporting infrastructure.
Is training or inference more important?
Both matter. Training can be extremely intensive, while inference becomes significant when models are used by millions of people.
Is this number precise?
No. Operators rarely disclose exact AI-specific electricity use, so this is a transparent estimate based on public information and assumptions.