{"data":{"slug":"ai-energy","etype":"concept","name":"AI's Energy Demand","cat":"Economics & Society","subtitle":"From 1.5% of world electricity toward — how much? The load-growth question.","summary":"Data centers used ~415 TWh in 2024 (~1.5% of global electricity, IEA); the IEA's base case nearly doubles that by 2030 with AI the main driver, and US utilities tore up flat-demand forecasts for the first time in decades. The binding constraints are grid interconnection queues, turbine and transformer lead times — not fuel. Whether efficiency (better chips, smarter models) tempers or, via Jevons effects, amplifies demand is the live uncertainty every scenario hinges on.","attrs":null,"kf":null,"aliases":["energy demand","electricity demand","power demand"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://www.iea.org/reports/energy-and-ai","label":"IEA Energy & AI (2025)"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T08:42:10+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}