AI Data Centers Create ‘Heat Islands,’ Raising Local Temperatures, Study Finds
A new study led by researchers at the University of Cambridge warns that the rapid expansion of artificial intelligence infrastructure is creating «data heat islands» that significantly increase temperatures in surrounding areas.
According to the research, large AI-powered data centers can raise local land surface temperatures by an average of 2°C (3.6°F), with extreme cases reaching as high as 9.1°C (16.4°F). The effect could impact more than 340 mln people globally.
Scientists analysed two decades of satellite data from NASA, comparing it with the locations of over 6,000 data centers worldwide. Their findings show that the warming effect can extend up to 10 kilometers (6.2 miles) from these facilities, similar to the «urban heat island» phenomenon seen in major cities.
Notable temperature increases were observed in regions experiencing rapid data center growth, including Spain, Mexico and Brazil. Researchers say the heat is generated by both intensive computing processes and cooling systems used to keep servers operational.
The study, which has not yet been peer-reviewed, highlights growing concerns about the environmental impact of AI infrastructure. Experts warn that as demand for data processing surges, energy consumption from data centers could soon surpass that of global manufacturing.
While some specialists caution that the findings may overestimate the impact, others say the research underscores a lack of oversight as the industry expands.
Proposed solutions include more energy-efficient software, heat-recycling hardware, and advanced cooling technologies. Researchers hope the findings will prompt broader discussions on how to balance AI development with environmental sustainability.
