Germany allocates €125m to pan-European AI lab effort
Germany has launched a €125 million programme called ‘Next Frontier AI’, managed by the federal innovation agency SPRIND, to drive the creation of cutting-edge artificial intelligence laboratories in Europe. This strategic move is intended to reduce the continent’s reliance on technology from the United States and China, as European officials grow increasingly concerned about their dependence on foreign AI giants.
Jano Costard, who leads challenges at SPRIND, told Euronews that global competition is moving too fast to wait for other players to enter the market. He noted that Germany is taking the lead to ensure Europe can act decisively and in a united way. At present, the landscape is dominated by American companies such as Anthropic and OpenAI, which have secured enormous private investments, while Chinese firms like DeepSeek continue to expand their capabilities rapidly.
The financial support will be distributed over three phases across a two-year period. Initially, 10 teams can each receive up to €3 million. In the second phase, this number will be cut to six teams, with potential funding rising to €8 million per team. Finally, the three best teams can receive up to €15.5 million. Costard expects a large number of applications, possibly thousands, from across the region.
Although €125 million is modest compared with the billions spent by the US and China, Costard sees this as a catalyst rather than the complete solution. The aim is to develop technology to a level of maturity that attracts billions in follow-on investment. He argues that Europe should not attempt to mimic existing products from current market leaders, but should instead focus on pioneering entirely new AI paradigms and capabilities.
This initiative also ties in with broader debates on European technological independence and the tendency of start-ups to migrate to the US in order to scale up. While there are legislative efforts, such as the proposed EU Inc, to harmonise company law across the continent, Costard believes the real priority should be making public funding more flexible and easier to access.
Ultimately, Costard says that Europe has the research talent and technical expertise it needs. The main gap is not a lack of knowledge, but rather the difficulty of turning that intellectual capital into viable commercial products and companies that can compete on a global scale. He suggests that leveraging Europe’s strengths in manufacturing, industrial data and privacy-focused AI could be the key to success.
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