UN Report: The Hidden Environmental Cost of AI Energy, Water, and Land Use
maritime-executive.comA new United Nations report reveals that the environmental footprint of artificial intelligence extends far beyond carbon emissions. The study highlights massive increases in water consumption for cooling and significant land use for energy infrastructure, warning that 'low-carbon' energy sources often trade off carbon savings for higher water and land stress. With AI electricity demand projected to potentially reach 945 TWh by 2030, the report emphasizes the risk of the Jevons Paradox, where efficiency gains lead to higher overall consumption. It calls for strict resource budgets and better governance of the entire AI value chain to prevent ecological collapse in vulnerable regions.
