At Rise of AI 2026 in Berlin, Antonio Krüger, CEO of DFKI, argues that Europe is now in a genuine "liftoff" phase for AI rather than merely trying to catch up with the US and China. He says Europe cannot compete on the scale of US and Chinese frontier-model spending, so its opportunity lies in a different niche: human- and society-oriented AI, backed by strong research and education, growing numbers of graduate and PhD students, and industrial data that US and Chinese models, built mainly on consumer data, largely lack. He points to fresh capital flowing into European infrastructure, including a planned Microsoft investment of around 50 billion US dollars and new research centers in Barcelona and Berlin, plus AI factories under development in Germany. Krüger stresses that DFKI's own focus is trustworthy AI, building systems that can be relied on in the physical world and that learn from failure, and he calls for closer European collaboration, since no single country or stakeholder group can drive AI sovereignty alone.
Key takeaways
- Krüger says Europe cannot compete with US and Chinese spending on frontier AI models and must find a different niche.
- He highlights growing numbers of master's and PhD students in Europe even as undergraduate enrollment stays flat.
- He cites a planned Microsoft investment of about 50 billion US dollars in infrastructure, including a Barcelona research center.
- He names industrial data from European factories as a remaining advantage over consumer-data-driven US and Chinese models.
- He says DFKI's research priority is trustworthy AI: systems reliable in the physical world that learn from failure.
Detailed notes
Europe's opening: talent, capital and infrastructure
Krüger argues Europe cannot match US and Chinese spending on frontier models, so its advantage lies elsewhere: strong research institutions and education, and a talent pool that, while undergraduate numbers are flat, shows growing enrollment in master's and PhD programs. He points to capital starting to flow into Europe, citing a planned Microsoft investment of roughly 50 billion US dollars in infrastructure and a new Microsoft research center in Barcelona, alongside a Google AI center opened in Berlin. He also mentions European AI factories under development in Germany and a large data center investment by the Schwarz Gruppe.
Industrial data and trustworthy AI
Krüger says Europe's clearest remaining edge is industrial data from factories and production processes, in contrast to the consumer data underlying many US and Chinese models, though he notes China is catching up quickly in manufacturing and robotics applications. He argues current AI models still lack grounding in physical reality, which contributes to hallucinations, and says DFKI's applied-research focus is trustworthy AI: systems that can be relied on when operating in the physical world and that are designed to learn from failure. He calls for closer European collaboration, citing partners in France, the Netherlands, Scandinavian countries and Italy, and says no single stakeholder group, whether politics, research or industry, can achieve AI sovereignty alone.
Questions answered in this talk
Can Europe compete with the US and China on AI infrastructure spending?
According to Antonio Krüger at Rise of AI 2026, Europe cannot match US and Chinese spending on frontier AI models and should instead build on its research talent, education and industrial data.
What AI investments is Europe currently attracting?
According to Antonio Krüger at Rise of AI 2026, Microsoft plans to invest roughly 50 billion US dollars in infrastructure, including a new research center in Barcelona, and Google has opened an AI center in Berlin.
What does DFKI focus on in its AI research?
According to Antonio Krüger at Rise of AI 2026, DFKI's applied research focuses on trustworthy AI, building systems that can be relied on in the physical world and that are designed to learn from failure.