Data centers supporting AI applications face mounting pressure to balance cooling demands with water resource constraints, presenting a significant infrastructure challenge. The article examines how the energy-intensive nature of AI computing requires substantial cooling capacity, which traditionally relies on water-intensive methods that may strain local water supplies. Industry stakeholders are exploring alternative cooling technologies and sustainability practices to address this emerging constraint as AI adoption accelerates globally.