Telegraph

Project AeroShift: Eliminating AI’s Water Crisis via Seasonal Compute Migration The Core Thesis The artificial intelligence boom has run directly into a thermodynamic and ecological brick wall: water and infrastructure scarcity. Training and running large language models requires massive data centers that dissipate megawatts of heat. Currently, the dominant solution is evaporative cooling, which causes a single hyper-scale facility to consume up to 19 million liters of fresh water daily.