Concentrated siting of AI data centers drives regional power-system stress under rising global compute demand
The rapid rise of generative artificial intelligence (AI) is driving unprecedented growth in global computational demand, placing increasing pressure on electricity systems. This study introduces an AI-energy coupling framework that combines large language models (LLMs)-based analysis of corporate, policy, and media data with quantitative energy-system modeling to forecast the electricity footprint of AI-driven data centers from 2025 to 2030. Results show that the new AI infrastructure is highly
Record details
Published: 13 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Environment
Retrieved: 14 July 2026
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ethics.ai (13 March 2026), “Concentrated siting of AI data centers drives regional power-system stress under rising global compute demand,” evidence record 7305, https://ethics.ai/record/7305 (originally published by arXiv).
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