AI data centers require significant water primarily for thermal management to prevent servers from overheating, as well as indirectly through electricity generation and chip manufacturing.

Direct Cooling: Most data centers use evaporative cooling systems, where water is circulated to absorb heat from processors and then evaporated in cooling towers. This process consumes large volumes of freshwater, with estimates suggesting that 50–60% of withdrawn water is lost to evaporation. Indirect Water Use: Approximately 80% or more of a data center’s total water footprint comes from the electricity it consumes. Power plants, particularly those burning fossil fuels, require massive amounts of water for steam generation and cooling. Manufacturing: The production of the specialized high-density chips used in AI training requires "ultrapure" water to rinse silicon wafers, with some factories using up to 10 million gallons per day. AI Intensity: AI workloads generate significantly higher heat densities than traditional computing, forcing facilities to rely more heavily on water-intensive liquid cooling or increasing the strain on evaporative systems to maintain operational temperatures.