AI Sovereignty: What Does It Take?

Is Europe's fragmented market the biggest threat to its AI sovereignty? This panel discusses how to stop the 'sovereignty drain' and build a competitive ecosystem.

#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.