US AI datacenters to be built in drought-hit areas
Most new US AI datacenters to be built in drought-ridden locations, sparking concerns over water usage.

A record-shattering drought has racked much of the US. But the artificial intelligence industry is pushing ahead regardless, with the majority of planned datacenters set to be built in drought-ridden locations, a Guardian analysis has found. About two-thirds of upcoming datacenters, which typically require a large amount of water to operate, are set to be built in places that have been among the driest in the country over the past year.
The Guardian's analysis comes as concerns grow over the water needed to power AI. Datacenters are critical infrastructure for the AI industry, but they also require significant amounts of water to cool their systems. The drought has had a devastating impact on many parts of the US, with severe consequences for agriculture, wildlife, and human consumption.
The construction of datacenters in these areas is likely to exacerbate existing water shortages. The artificial intelligence industry's push to build datacenters in drought-hit areas raises important questions about the sector's sustainability and its impact on the environment. Why this matters: The construction of AI datacenters in drought-hit areas has significant implications for the US tech industry and the environment.
As the demand for AI capabilities continues to grow, so does the need for datacenters to support them. However, the water requirements of these facilities pose a challenge in areas already struggling with drought. This could lead to increased tensions between the tech industry and local communities, as well as scrutiny from regulators.
Developers and businesses will need to consider innovative solutions to mitigate the environmental impact of their operations, such as using alternative cooling methods or sourcing water from sustainable suppliers. Ultimately, the industry's ability to balance its growth with environmental sustainability will be crucial to its long-term success.
Source: The Guardian Technology