AI's relationship with energy is genuinely two-sided, and the IEA's *Energy and AI* report holds both at once.
The demand side
Data-centre electricity demand more than doubles by 2030 to ~945 TWh, with AI-optimised facilities quadrupling. AI is a fast-growing consumer of power.
The optimisation side
The same technology can help run the grid it strains:
- Demand forecasting and balancing — matching supply to load in real time.
- Predictive maintenance for generation and transmission assets.
- Integrating renewables — managing the intermittency that makes wind and solar hard to schedule.
- Efficiency across industrial energy use.
Whether AI is a net help or harm to the energy system isn't predetermined — it depends on how fast efficiency and grid-optimisation gains catch up to consumption.
For builders, the lesson is the same either way: efficiency is now a first-class engineering concern — right-sized models, caching and smart routing cut both the bill and the footprint.
Sources
Written by ivector
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