AI's energy consumption gets the headlines. Its water consumption is the quieter, equally important story. Data centers need cooling, and cooling at scale requires enormous amounts of water.
The numbers. A large data center can use up to 5 million gallons of water a day, about as much as a town of 10,000 to 50,000 people, according to the Environmental and Energy Study Institute. As AI drives explosive data center growth, water demand is climbing fast, often in regions already water-stressed.
Why cooling matters. AI chips generate intense heat. Current solutions range from traditional air conditioning (water-intensive) to liquid cooling systems (more efficient but expensive to retrofit). The industry is investing heavily, but demand growth is outpacing efficiency gains.
The business connection. Your AI usage contributes negligibly to the total. But if environmental stewardship is part of your brand, it's worth knowing which providers are investing in water-efficient infrastructure.
The future. Next-generation cooling technologies — immersion cooling and heat recapture systems — promise dramatic reductions. Some new data centers are being built with near-zero water consumption. The industry is aware and investing, but the transition will take years.