TY - RPRT A1 - Schmid, Nicolas A1 - Coroamă, Vlad C. A1 - Dumbravă, Oana A1 - Eichler, Martin A1 - Reisser, Moritz A1 - Kaack, Lynn H. A1 - Axenbeck, Janna A1 - Jürg, Füssler T1 - 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 N2 - 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. Y1 - 2025 UR - https://www.umweltbundesamt.de/publikationen/carbon-leakage-in-ai-driven-data-center-growth IS - 68/2025 PB - German Environment Agency ER -