Trend Sustainable energy infrastructure becomes the power behind AI
Summary
The report argues that explosive AI development is causing huge electricity consumption and environmental problems, making a fundamental shift in energy infrastructure urgent. The computing power needed to train and run large models grows exponentially every year, and AI is pushing data centre electricity use higher, straining supply stability. Beyond raw performance, energy efficiency and sustainability are expected to become new core sources of competitiveness in AI among major countries. As power costs and carbon burdens are recognised as long-term operating risks, carbon neutrality is turning into a prerequisite for building and running AI infrastructure. Low-power AI chips, immersion cooling, AI-driven smart grids and siting data centres near wind and solar farms are spreading as responses.
Classification
Evidence 1
- 한국지능정보사회진흥원(NIA) NIA가 전망한 2026년 12대 AI·디지털 트렌드 한국지능정보사회진흥원(NIA) no link — bibliographic entry p. 23 2025-12-31 accessed 2026-09-30
Observed signals 4
- SignalData centre markets projected to expand steadily, with AI data centres growing fastest
- SignalGlobal data centre electricity use projected to rise from about 300 TWh in 2023 to over 1,500 TWh by 2030
- SignalUS, China and EU energy policies diverge as AI power demand grows
- SignalUS, China and the EU build AI supercomputing centres under national AI strategies
Part of issues 2
- IssueAccelerating weaponisation of environmental resources under climate change1 trends · 0 signals
- IssueGoverning AI power demand under carbon rules and Korea's AI-energy policy1 trends · 1 signals
Relation types: constitutes · supports
Public id: fm-5294d2bbc825
