Sovereign AI capability does not mean building everything inside one country. The point is the ability to choose, control and deploy AI in line with national interests, data and capacity.
Session context
The session clarifies the layers of capability that make up sovereign AI: data, compute, models, people, standards, safety and the application ecosystem. In a global technology chain, the question is not only build-or-import, but which core capabilities to master, where to cooperate and how to reduce risky dependence. It discusses policy, investment and cooperation choices that build responsible AI capacity serving development and long-term competitiveness.
Guiding questions
- Which layers of AI capability should be mastered first?
- How is strategic autonomy balanced with cooperation and global supply chains?
- How should public, private and academic investment be coordinated to build an AI ecosystem?
Moderator
Panelist
Panelist