AI & Environment Resource HubAlgorithmic Justice League · 2025-04-11
How much water, energy, and carbon emissions does it take to train and run AI models like ChatGPT? And why aren’t the biggest AI companies making these numbers public? From the carbon emissions equivalent to round-trip flights to the lack of transparency from major AI companies, Dr. Sasha Luccioni and Brenda Wilkerson unpack the environmental consequences of AI and how it's much bigger than most realize.
Algorithmic Justice League. 2025-04-11. AI’s Hidden Climate Cost - How Much is Too Much?. https://www.youtube.com/watch?v=-K1GcLK2t1Q (AI & Environment Resource Hub; record video-089; collection snapshot 2026-09-15).
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Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Water
This paper examines the environmental impact of deploying generative AI models on cloud versus edge platforms, finding that edge deployment can achieve over 90% energy savings while reducing carbon emissions and water consumption by more than 80%.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Water
Check out this AI Impact Calculator to find out your environmental impact through energy, water, and carbon metrics designed by Aleksi Tukiainen.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Water
Conference held on the 19th of February 2026, organised by the Veolia Institute, hosted at the Collège des Bernardins, on the role of AI for the main environmental challenges. This event followed the joint publication of our last report, coproduced with Microsoft, called "AI for Energy, Water and Waste Management". Our experts explored the potential benefits of AI for the ecological transition in relation to concerns raised by its carbon footprint and growing energy, water, and precious metal requirements.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Water
This paper argues that AI's environmental impacts from energy consumption and water use to mineral extraction constitute a global climate justice concern that demands moving beyond efficiency metrics to center the unequal distribution of costs and benefits, particularly in the Global South.