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Multiple (Research by University of Cambridge)Multiple (Research by University of Cambridge)
RESEARCHMultiple (Research by University of Cambridge)2026-03-27

AI Data Centres Create Heat Islands, Warming Surrounding Areas by Up to 9.1°C

Key Takeaways

  • ▸AI data centres raise average land surface temperatures by 2°C, with extreme cases reaching 9.1°C increase
  • ▸Temperature effects extend up to 10 kilometres from data centre locations, affecting an estimated 340 million people globally
  • ▸Data centre capacity is forecast to double by 2030, with AI driving 50% of new demand, amplifying potential heat island effects
Source:
Hacker Newshttps://www.newscientist.com/article/2521256-ai-data-centres-can-warm-surrounding-areas-by-up-to-9-1c/↗

Summary

A new study from researchers at the University of Cambridge has revealed that AI data centres produce significant heat that raises surface temperatures in surrounding areas by an average of 2°C, with extreme cases reaching 9.1°C. Using 20 years of satellite data across more than 8,400 AI data centres globally, the researchers found that temperature increases extend up to 10 kilometres away from facilities, creating 'data centre heat islands.' The study estimates that over 340 million people currently live within 10 kilometres of data centres and are experiencing warming effects that wouldn't otherwise occur.

The findings carry particular urgency as global data centre capacity is forecast to double between 2025 and 2030, with AI accounting for half of that expansion. Researchers documented temperature increases in regions including Mexico's Bajío and Spain's Aragon province that couldn't be explained by other factors. While some experts suggest follow-up research is needed to distinguish between computational heat and heat from building infrastructure, the core concern remains: the rapid proliferation of AI data centres may create significant localized climate impacts that warrant careful planning and development strategies.

  • Study based on 20 years of satellite data across 8,400+ facilities identifies specific regions like Mexico's Bajío and Spain's Aragon as significantly impacted

Editorial Opinion

This research highlights a critical blind spot in the AI infrastructure expansion: the environmental heat footprint of powering AI systems. As companies race to deploy more data centres to meet AI demand, the localized warming effects documented here suggest that sustainability planning must extend beyond carbon emissions to include thermal impacts on surrounding communities. The 340 million people living in data centre heat zones deserve greater visibility and accountability in how new facilities are sited and operated.

MLOps & InfrastructureScience & ResearchAI & Environment

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