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Agentic AI & the art of letting go

When control gets in the way of progress

Paul suggested the idea of doing something different. No intro. No big kickoff. Just two people talking.

That’s how this episode with Paul Meinshausen (CEO at Aampe) started and I’m glad it did. Because I fumbled at the beginning (you can skip ahead in the podcast...).

Feeling like a one-trick pony, I tried to steer the conversation toward my usual topics: CDPs, AI, use cases, and organizational challenges. But it quickly became clear I was trying to force an idea, a vision, onto something I hadn’t fully wrapped my head around yet. Paul helped me take a step back. Not to simplify, because there is a lot to this, but to rethink.

Unlike what we often do when considering new technology, use cases are not the primary consideration we should make when considering agentic AI. Paul argued that it is control, and how so many leaders fear giving it up when adopting AI. But maybe that’s the wrong lens through which leaders view the world of opportunities.

With agentic AI, it’s not about losing control. It’s about setting the principles and boundaries, and then letting the system operate within them. In the same way that leadership evolves as companies grow. You don’t micromanage every action, you shape the environment.

Honestly, this was one of those moments where I felt more like a student than a host. And I’m okay with that. We’re all learning. We should be learning.

So here’s an official, yet unpolished, deeply valuable episode, one I almost didn’t want to share, but really glad I did. We are all in this together.

A big thank you to Paul for explaining the challenges and opportunities from his perspective, as well as for the time, generosity, and space to think out loud.

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