06/03/2026
🌏 The full environmental cost of AI goes beyond carbon emissions – and the numbers are significant.
UNU-INWEH‘s new report, Environmental Cost of AI’s Energy Use: Carbon, Water and Land Footprints, reveals that by 2030, the electricity powering global data centres could nearly double 2025 usage, while the water footprint in 2030 would be enough to provide all 1.3 billion people in Sub-Saharan Africa with residential water for an entire year. The land footprint is nearly 10 times the size of Mexico City and the carbon footprint of this much electricity would require 6.7 billion trees to offset – twice the number of trees in the entire United Kingdom.
Carbon, water, and land footprints sometimes move in opposite directions, meaning lower-carbon emissions don't automatically mean a lower water or land impact.
However, It is not only about the environmental cost, but about the question who bears it. In Ireland, data centers accounted for 21% of the country’s total metered electricity in 2023, while AI infrastructure in other countries is drawing on precious water resources among ongoing droughts.
Scroll through to hear from UNU-INWEH scientists and the rector of the United Nations University and Under-Secretary-General of the United Nations, on why there is a need for responsible AI use and why its unintended impacts must be addressed to make the world more sustainable and equitable.
The report sets out a clear framework: transparency, efficiency, and environmental justice, across governments, industry, investors and communities alike. Carbon metrics alone aren't enough.
📖 Read the full open-access report here: https://go.unu.edu/6bRME