The vast data centers that power artificial intelligence guzzle huge amounts of energy but they also have another alarming impact, according to new research. They are creating "heat islands," warming the land around them by up to 16 degrees Fahrenheit, and making life hotter for more than 340 million people.
There are still big gaps in our understanding of the impacts of data centers, even as they boom in number, said Andrea Marinoni, associate professor with the Earth Observation group at the University of Cambridge, and an author of the study, which has not yet been peer-reviewed.
Marinoni and his colleagues decided to dig into one under-researched impact: the heat they release through their energy-intensive processes, including computation and powering cooling systems.
To do this, they looked at temperature data over the last 20 years from remote sensors and mapped it against the locations of AI "hyperscalers" — vast data centers that house thousands of servers and can stretch over a million square feet, which have mostly been built within the last decade.
They focused on more than 6,000 data centers located away from highly dense urban areas, as surface temperatures around these were less likely to have been affected by other factors, such as manufacturing or the heating of homes. The researchers also filtered out seasonal impacts, global warming trends and other influences.
They found surface temperatures increased by an average of 3.6 degrees Fahrenheit after a data center started operations. In extreme cases, nearby temperatures increase by up to 16.4 degrees Fahrenheit.
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📷: Andrew Caballero-Reynolds/AFP/Getty Images
England’s summer water stress is resetting sustainable building design. Projects are moving from passive consumption to active water stewardship through leakage reduction, smart metering, rainwater and greywater reuse, drought‑resilient landscapes and green infrastructure. Specifications are shifting to sustainable material specification and eco-design for buildings that tolerate heat and shrink–swell cycles, tying water resilience to building lifecycle performance, lifecycle assessment and whole life carbon assessment. Clients are demanding measurable carbon footprint reduction and life cycle cost certainty across design, build and operation.
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