AI’s Electricity Demand Is Not the Real Problem. Its Inflexibility Is
Exxon and Chevron’s $26.5 Billion Quarter Draws Trump’s Ire Leon Stille has a background in energy sciences (MSc and BSc) and is pursuing a PhD in energy policy.
He currently runs his own company,… The electricity demand created by artificial intelligence is usually presented as a simple supply problem.
AI requires increasingly large data centers, those facilities consume enormous amounts of electricity, and utilities must somehow build enough power plants to serve them.
Data centers consumed around 485 terawatt-hours of electricity globally in 2025.
The International Energy Agency expects this to rise to approximately 950 TWh by 2030, while consumption from AI-focused facilities could triple.
Some proposed AI campuses will require several gigawatts of capacity—more than many cities.
Yet the global numbers hide the real problem.
Data centers are expected to account for only around 3% of worldwide electricity demand by 2030.
Their impact is serious, but it is not remotely large enough to overwhelm the global electricity system.
The difficulty is that AI demand is arriving in very large blocks, in very specific locations, and on timelines that are much shorter than those required to build grids and power plants.
AI does not primarily have an electricity problem.
The Local Grid Matters More Than the Global Total The IEA expects data-center electricity consumption to roughly double between 2025 and 2030.
| Product | Price | Change |
|---|---|---|
| Brent Crude | $102.14/bbl | +0.34% |
| WTI Crude | $96.90/bbl | +0.21% |
| EN590 Diesel | $846/MT | +0.18% |
| Jet Fuel A-1 | $1090/MT | +0.55% |
| Mazut M100 | $450/MT | -0.15% |
| Bitumen 60/70 | $470/MT | +0.08% |
| Sulphur Gran 99.5% | $470/MT | -0.44% |
| Urea 46% Gran | $650/MT | +1.12% |
| NPK 16-16-16 | $460/MT | -0.28% |
| Nat Gas TTF | $15.42/MMBtu | +0.92% |
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