This paper identifies five ways AI can support climate action and estimates that AI applications in power, food, and mobility sectors can significantly reduce global GHG emissions, potentially outweighing the emissions generated by AI-related data center operations.
Stern, Nicholas; Romani, Mattia; Pierfederici, Roberta; Braun, Manuel; Barraclough, Daniel; Lingeswaran, Shajeeshan; Weirich-Benet, Elizabeth; Niemann, Niklas. 2025-06-23. Green and Intelligent: The Role of AI in the Climate Transitiion. https://www.nature.com/articles/s44168-025-00252-3?error=cookies_not_supported&code=4eb78586-de7c-4243-85e2-6ffacd3293d7 (AI & Environment Resource Hub; record paper-326; collection snapshot 2026-09-15).
Classification and context
Included in the original Scientific Paper collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
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Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
By the end of this course, you will be able to explain how data centers power AI‑driven decarbonization across the global economy and why sustainable digital infrastructure is foundational to achieving net‑zero goals. You will learn how AI, enabled by cloud and edge data centers, supports clean energy grids, optimizes buildings and manufacturing operations, and accelerates electrified, efficient transportation systems
Coursera
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
An interactive dashboard by Rooted Futures Lab tracking the environmental impact of data centers across water, energy, and emissions metrics.
Source metadata availablefree
Shared topics: Cross-cutting sustainability; Energy and electricity; Agriculture and food; Built environment and infrastructure; Transport and logistics
This episode highlights the evolving role of natural gas in powering AI-driven data centers and the innovative use of biogas in Brazil’s citrus industry by Louis Dreyfus Company. We also discuss advancements in sustainable aviation fuel, including the SkyNRG project at the Port of Walla Walla, and the broader shifts towards cleaner energy in agriculture, tech, and transportation.
open.spotify.com
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
This study shows that AI-driven transportation systems can significantly reduce urban carbon emissions and improve energy efficiency by optimizing routes, easing congestion, and enhancing public transit, while offering policy guidance for sustainable implementation.