
AI's Hidden Footprint: Quantifying Carbon, Water, and Land in the Digital Era
A UNU-INWEH report finds AI’s environmental costs go beyond carbon to include water use and land impact driven by data centers and electricity sources. Footprints vary by where energy is produced and the patterns of AI use, raising governance and equity concerns. It calls for transparency, efficiency by design, lifecycle responsibility, and global cooperation to align AI development with energy, climate, water, and land-use planning.












