Wednesday, 30 July, 2025
Massive AI Missions Pose Hidden Environmental Toll through Energy, Water & E‑Waste
AI’s explosive growth—from training gargantuan LLMs to powering millions of inference requests—carries a substantial yet invisible environmental burden. Data center energy usage is surging, water consumed for cooling data centers can reach hundreds of thousands of liters per model & hardware churn accelerates e‑waste. Annual carbon emissions from AI training alone may match those of multiple passenger cars, driving calls for efficiency, transparency, environmental auditing & green AI practices.
Read full story at Economic Times