Artificial Intelligence does not decide Europe’s future. Human decisions do. In this talk, I show what you can do differently starting tomorrow: which skills to build, how to choose AI tools, and how to reduce dependencies. No moral finger-wagging, just straight talk.
What This Is About#
Europe is at a turning point. While US and Chinese tech giants dominate the AI infrastructure, we are debating regulation. That matters, but it is not enough. The decisive question is not whether AI is coming, but who shapes it and who becomes dependent on it.
What You Take Away#
This talk delivers no dystopian warnings and no utopian promises. Instead, there are three concrete areas for action:
1. Build Skills Which capabilities are truly needed in an AI-permeated working world? Not “prompt engineering” as a buzzword, but the ability to use AI critically, evaluate results, and remain human where machines fail.
2. Choose AI Tools Deliberately Not every tool that is free and convenient is also smart. I show how to evaluate AI tools based on criteria like data sovereignty, transparency, and dependency, rather than simply using whatever everyone else uses.
3. Reduce Dependencies From your own organization to the European level: which concrete steps reduce dependency on single vendors and ecosystems? With real-world examples from companies that are already doing exactly this.
For Whom#
For everyone who wants to shape AI, not just consume it. Whether you are an executive, developer, founder, or simply someone who wants to understand what is happening and what they can do about it.