Clemens Wasner, Boris Hecker, Robin Hermann & Sonja Alvarez
AI Sovereignty: What Does It Take?
#1about 4 minutes
Comparing Europe's AI position to the US and China
Europe's strength lies in industrial data and application, while the US leads in LLMs and China holds a long-term advantage in energy infrastructure.
#2about 3 minutes
Why AI giga factories are not enough for sovereignty
Achieving AI sovereignty requires a complete ecosystem of hardware, software providers, and real-world business problems, not just data centers and GPUs.
#3about 4 minutes
The case for founding an AI startup in Europe
Europe's strong open-source culture makes it an attractive place for founders, despite the challenges of navigating its complex regulatory landscape.
#4about 6 minutes
Fostering collaboration between startups and traditional businesses
Mid-sized companies are beginning to adopt AI, but success depends on building a collaborative ecosystem where startups, corporations, and even the public sector can work together effectively.
#5about 5 minutes
Achieving digital sovereignty in critical sectors like defense
European collaboration is key to sovereignty, but decisions like the German armed forces using Google Cloud highlight the complex trade-offs between using best-in-class technology and relying on foreign providers.
#6about 4 minutes
Addressing the root causes of Europe's startup drain
The "sovereignty drain" is caused by a fragmented single market and lack of a unified capital system, not just by regulations like the AI Act.
#7about 3 minutes
Defining the next steps for European AI sovereignty
To make real progress, Europe needs to foster homegrown AI success stories, upskill its developer community, and create a more unified political and economic strategy.
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