AI Data Centres Projected to Use More Water Than Global Population by 2030

New research suggests AI data centres could outpace global water use by 2030. The study estimates consumption exceeding the total water used by every person on Earth. Rapid growth of AI workloads is driving higher cooling and power needs. Data centre operators are expected to increase water‑intensive processes. Experts warn that the hidden environmental cost could strain water resources. The findings call for more sustainable design and energy‑efficiency measures. Industry leaders are urged to adopt water‑saving technologies. Monitoring water impact will become a key metric for future AI infrastructure.