Germany unveils 18-point AI strategy with 2030 targets
The German government presented an 18-measure AI strategy aiming for 80% enterprise adoption and quadrupled data center capacity by 2030. Chancellor Friedrich Merz stated the government must discuss basic income due to AI's impact on work.
The German government's AI Taskforce, led by Digital Minister Carsten Wildberger, presented a strategy in Berlin under the motto Shaping AI Safe, Sovereign und Competitive. The plan includes 18 measures with targets for 2030: 80% of large enterprises and 55% of the mid-sized sector are to use AI, 90% of federal authorities must have at least one AI application in use, and more than 10% of economic output should be based on AI. Data from the Statistisches Bundesamt shows AI adoption in companies rose from 12% in 2023 to 26% in 2025, with large enterprises already at 57%.
The strategy aims to quadruple AI data center capacity from approximately 0.5 gigawatts in 2025 to 2 gigawatts by 2030, a figure aligned with Bitkom's industry forecast. Chancellor Friedrich Merz stated that the government must potentially discuss a basic income due to AI's impact on work and automation. Merz argued that work is changing and being automated, requiring a discussion on unconditional basic income. Critics noted that the 90% federal authority target is a low bar that treats AI as an end in itself rather than a tool for efficiency, and that the 2030 compute target is modest compared to current US capacity.