Environmental Trade-offs of Sovereign AI: Water, Energy, and Emissions in the Global South

Jul 16, 2026

A new preprint analyzes the environmental impacts of sovereign AI infrastructure in the Global South, focusing on water, energy, and carbon emissions. The study finds that a 1,024-GPU cluster using evaporative cooling in the UAE would consume over 30 million liters of water annually, despite the country's extremely high water stress. The authors identify a 'sovereignty-sustainability trilemma' and propose design principles such as mandatory water usage reporting and prioritizing smaller, more efficient language models.

Why it matters: The research underscores the urgent need for policymakers in water- and climate-vulnerable regions to consider environmental sustainability when planning AI infrastructure.

Full story at: arXiv Computers and Society ↗