Multiple reports show the data centers used to store, train and operate AI models use significant amounts of energy and water, with a rippling impact on the environment and public health.

Boards and C-suites are adopting new governance practices to address energy constraints and operating and cyber risks to increase AI data center effectiveness

Amazon announces a $12 billion investment in three Shreveport-area data centers, promising 540 high-paying jobs and no added utility costs for Louisiana ratepayers.

The Western Virginia Water Authority this week released records detailing Google’s projected water use at a planned data center in Botetourt County, following a months-long court battle with the Roanoke Rambler.

The moratorium halts development of any new data center that would use more than 20 megawatts of electricity or would be within 500 feet of residential homes.

But there is another reason to add to the list: water consumption. According to the International Energy Agency (IEA), a typical 100-megawatt hyperscale data center consumes around 530,000 gallons of water per day, equivalent to the use of 6,500 homes.

Among the many problems posed by the rapid proliferation of data centers around the world is the strain on local water supplies. These facilities need plenty of water for cooling the vast arrays of servers and other computing equipment,