AI Datacenters Cause Significant Heat Island Effects, Study Reveals

• •AI datacenters raise local temperatures significantly, affecting communities up to 10 km away.
• •Global electricity use by server farms is projected to double by 2030, largely due to AI.
• •Up to 343 million people could be impacted by the heat island effect from datacenters.

A study from the University of Cambridge found that AI datacenters create heat islands, raising surrounding temperatures by 0.3°C to 9.1°C (0.54°F to 16.38°F) at distances up to 10 km (over 6 miles). The average increase in temperature is reported to be between 1.5°C and 2.4°C (2.7°F and 4.3°F). This phenomenon, comparable to urban heat island effects, could impact up to 343 million people globally, affecting welfare, healthcare, and energy systems. The rapid growth of server farms, driven by AI demand, is expected to more than double global electricity use by 2030. Most datacenters rely on fossil fuels, leading to increased emissions and a resurgence in coal-fired power plants. The paper emphasizes the need for technological advancements to mitigate these effects. The findings are yet to be peer-reviewed and were highlighted by New Scientist.