Carbon leakage in AI-driven data center growth? : an assessment of drivers and barriers to the localization of data center operations and investments with respect to carbon pricing policies / by Nicolas Schmid, Martin Eichler, Moritz Reisser, Jürg Füssler (INFRAS and Digital Climate Innovation, Zurich), Vlad C. Coroamă, Oana Dumbravă (Roegen Centre for Sustainability, Zurich), Lynn H. Kaack (Hertie School Berlin), Janna Axenbeck (German Environment Agency) ; with input from: George Kamiya ; on behalf of the German Environment Agency ; edited by: Z 2.3 Digitale Transformation und Beratungsstelle Green IT - Janna Axenbeck
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Discovery
1941748880
URN
urn:nbn:de:gbv:3:2-123456789-1166139
DOI
ISBN
ISSN
Beiträger
Körperschaft
Erschienen
Dessau-Roßlau : Umweltbundesamt, 2025
Umfang
1 Online-Ressource (64 Seiten, 4,45 MB) : Illustrationen, Diagramme
Ausgabevermerk
Sprache
eng
Anmerkungen
Report completed in: December 2024
Literaturverzeichnis: 49-55
Sprache der Zusammenfassung: Englisch, Deutsch
Inhaltliche Zusammenfassung
This study offers a comprehensive first assessment of the global carbon leakage potential associated with AI-driven data center operation and investment. The focus is on carbon leakage from costs imposed by emission trading systems (ETS) on data center electricity consumption. The study estimates AI’s current and near-future electricity consumption and evaluates the technological feasibility as well as plausibility of shifting compute loads. Additionally, it maps global compute capacity against carbon intensities and the presence of ETS.
Schriftenreihe
Texte. Umweltbundesamt ; 2025, 68 ppn:505871920