Powering the Future of AI: Navigating the Trade-offs for Europe's Energy Transition and Net-Zero Goals
2026-06-08 • Artificial Intelligence
Artificial IntelligenceComputers and Society
AI summaryⓘ
The authors studied how the growth of AI will increase the energy use of big data centers across Europe. They found that AI could add a lot more electricity demand and cause extra carbon emissions by 2050. After 2030, where these data centers are located will depend more on reliable power sources and system flexibility than just clean energy availability. They also show that making data centers more efficient can reduce the need for extra power capacity and lower peak energy demand. Overall, the authors warn that achieving carbon neutrality may still be possible but will require careful planning and new policies to handle AI’s impact on the energy system.
AI growth scenarioshyperscale data centersenergy demandcarbon emissionsfirm powersystem flexibilitylevelized cost of electricity (LCOE)capacity expansionnet-zero targetsenergy dispatch
Authors
Mohammad Hemmati, Gbemi Oluleye, Vassilis M. Charitopoulos
Abstract
The rapid expansion of AI globally has led to the proliferation of energy-intensive hyperscale data centres (DCs), making them as a structurally challenging component in power system planning and operation. Using a spatially explicit optimisation model of Europe across 21 AI growth scenarios, we systematically quantify additional demand, capacity requirements, emissions, and operational impacts of DCs. Results indicate that AI could drive 73-723 TWh of extra demand by 2050, risking cumulative emissions overshoots of 67-181 MtCO2 between 2030 and 2050. Our analysis indicates that after 2030, the geography of AI infrastructure will be shaped more by firm power and system flexibility than by the mere abundance of clean energy. In moderate scenarios, AI requires an additional of 200 hours of firm generation, which increases LCOE by 35 EUR/MWh in key hubs. We show that even under the pessimistic scenarios, existing infrastructure would require 70 GW additional capacity, while under managed growth pathways, this expansion could reach 226 GW. We further find DCs workload dynamics strongly shape energy dispatch, system flexibility, and emissions, while improved efficiency significantly reduces capacity needs, and system peaks. While our findings suggest that net-zero targets for 2050 may be achieved, critical emission risks may appear in the intermediate years, and the EU may compromise its carbon-neutral goals unless policies adapt to this accelerating digital transformation.