Michael UngarCEO of the Industry 4.0 Club

AI Sovereignty: Securing Your Future in the Digital Age

12 Jun 2026 · 1 min

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In this excerpt from Michael Ungar's talk on AI sovereignty, the speaker argues for the need for central governance over AI deployments. He highlights three key concerns: security—ensuring AI systems are protected from threats; cost—preventing unchecked spending and vendor-driven pricing; and sovereignty—maintaining ownership and control over AI models to avoid vendor lock‑in. Ungar warns that growing reliance on external AI models without clear ownership can leave organizations dependent on third‑party providers, exposing them to financial, political, and operational risks.

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I think there are also topics that call for central governance. And I would, just to mention a few, I would say like stuff like security. Yeah. Cost. Yeah. Because you don't want to just let everyone hook up with some vendor. And the third one I would say is sovereignty. Because if we become more and more reliant on AI, the models, who owns those models? And if you can't take them and put them somewhere else, you don't own them. Yeah, true. And then you're locked in. And then the problem is around the corner, cost-wise, politically, whoever. I mean, you're just, you're living on the grace of others.