Scientific Paper · source-verified

Green and Intelligent: The Role of AI in the Climate Transitiion

Stern, Nicholas; Romani, Mattia; Pierfederici, Roberta; Braun, Manuel; Barraclough, Daniel; Lingeswaran, Shajeeshan; Weirich-Benet, Elizabeth; Niemann, Niklas · 2025-06-23

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.

Show citation

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).

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Available source metadata

Author or creator
Stern, Nicholas; Romani, Mattia; Pierfederici, Roberta; Braun, Manuel; Barraclough, Daniel; Lingeswaran, Shajeeshan; Weirich-Benet, Elizabeth; Niemann, Niklas
Publisher
npj Climate Action
Publication date
2025-06-23
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:44:46.434Z
Snapshot import
2026-09-06
Legacy domain
Cross-Cutting Sustainability
Legacy subdomain
Sectoral Emissions Reduction Potential of AI in Power, Food, and Mobility
journal
npj Climate Action

Provenance and review

Source sheet: Scientific Paper · Row 330 · Original ID: paper-326.

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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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Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics

Course

AI and Data Centers: Driving Global Decarbonization

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

Tool

Data Center Impact Dashboard

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

Podcast · 2025-03-25

Energy Innovations Driving Sustainability: Unpacking Our Sustainable Future

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