Multiple studies and data center assessments confirm that training and operating artificial intelligence models requires substantial quantities of freshwater for cooling and power generation.
The claim is that using AI models requires large amounts of water. Multiple papers (such as [2], [3], [4], and [7]) explicitly quantify the substantial water footprints, freshwater consumption for cooling, and resource demands associated with training and running AI inference queries. There are no papers refuting this evidence, leading to a verdict of SUPPORTED.