AI data centres can raise surrounding temperatures by up to 9°C, with major clusters in the US, Europe, and Asia where big tech firms operate hyperscale facilities.
As demand for artificial intelligence grows rapidly, tech companies are expanding massive computing facilities known as AI data centres. These buildings power services like chatbots, cloud computing, and machine learning systems—but they also generate significant heat that can affect surrounding environments.
How much heat do AI data centres produce?
Recent research led by scholars linked to the University of Cambridge found that areas surrounding AI data centres experience noticeable increases in land surface temperature.
The study reports that:
- Average temperature increases around data centres are about 2°C
- In some locations, temperatures can rise by as much as 9°C
Researchers describe this phenomenon as a “data heat island effect”, similar to urban heat islands, where dense infrastructure traps and generates excess heat.
The heat comes mainly from:
- High-performance servers processing AI workloads
- Continuous electricity consumption
- Cooling systems that release warm air outside facilities
Why AI data centres generate so much heat
AI systems require extremely powerful chips and constant computation. Companies often run thousands of servers at once, which leads to:
- High energy use
- Continuous hardware operation
- Large-scale cooling requirements
Even though cooling systems are designed to manage internal temperatures, they can transfer heat into surrounding air and land areas.
Where are AI data centres located?
AI data centres are concentrated in regions with strong electricity infrastructure, stable political environments, and access to high-speed internet.
Major clusters include:
United States
The largest concentration of AI and cloud infrastructure is in the United States, where companies such as:
- Amazon
- Microsoft
operate massive hyperscale data centres. Key hubs include Virginia, Texas, California, and Oregon.
Europe
Europe hosts growing data centre clusters in countries like Ireland, the Netherlands, and Germany, driven by demand for cloud services and AI development.
Asia
China, Singapore, Japan, and India are rapidly expanding data centre infrastructure as AI adoption increases across industries.
Environmental concerns
The expansion of AI data centres has raised concerns about:
- Local temperature increases
- High electricity consumption
- Water usage for cooling systems
- Pressure on local power grids
Some communities near large facilities have reported changes in local microclimates, especially in areas with multiple data centres operating in close proximity.
The bigger picture
While AI technology is transforming industries worldwide, its physical infrastructure has a growing environmental footprint. Researchers say future planning will need to balance digital growth with energy efficiency and environmental protection.
As AI continues to scale, the question is not only how powerful these systems can become—but also how sustainably they can operate.
