Your AI queries are heating up the neighborhood - literally

The race to build the infrastructure behind artificial intelligence is generating more than just computing power. A new study from Cambridge-led researchers reveals that the land surface temperature around AI data centers rises by an average of 2°C (3.6°F) after they open, with some spots seeing spikes as high as 9°C (16.2°F). They've dubbed this the "data heat island effect."

AI data centers are energy hogs. Every ChatGPT or Gemini request runs on specialized chips doing thousands of parallel calculations, consuming far more power than standard web servers. The International Energy Agency reports that data centers used 415 terawatt-hours of electricity in 2024 - about 1.5% of global supply - and that figure could nearly double to 945 TWh by 2030. A single 100-megawatt hyperscale facility can burn through 2.5 billion liters of water annually for cooling, equal to the needs of 80,000 people.

There are now over 11,600 data centers worldwide, with the U.S. hosting more than 4,300. Europe follows, led by the UK (540+), Germany (520+), and France (390+). Asia is booming, with China (360+) and India (300+) leading, while Southeast Asia is one of the fastest-growing markets. Hyperscale data centers have nearly doubled since 2021, hitting 1,297.

The Cambridge study used NASA satellite data from 2004 to 2024, cross-referencing over 11,000 data center locations. Focusing on 6,733 centers outside dense cities, they found temperature increases ranging from 0.3°C to 9.1°C, detectable up to 10 kilometers (6 miles) away. More than 340 million people live within that radius, raising concerns about health, energy demand, and community welfare.

Meanwhile, the spending spree continues. Goldman Sachs projects $5.3 trillion in capital expenditure from 2025 to 2030 for the four biggest hyperscalers - Microsoft, Amazon, Alphabet, and Meta. Major projects include Meta's $27 billion Hyperion campus in Louisiana, Microsoft's $20 billion expansion in Wisconsin, Amazon's $25 billion investment in Mississippi, Google's $15 billion Project Spade in Missouri, and Oracle's Project Stargate in Texas, a massive AI supercluster for OpenAI.

Source: Al Jazeera