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Clip Feb 05, 2026 3:05 5.5K views

The Biggest Myth About AI Replacing Workers

About This Episode

🔗 Watch the full episode: https://youtu.be/NNSUbdZj1sw

In this episode of the AI Agents Podcast, we sit down with Peter Grimvall, co-founder and CEO of Ekona AI, to explore how advancements in artificial intelligence are shaping jobs — not just eliminating them, but transforming what work looks like across industries.

In this video, you’ll learn:
- How AI replaces tasks, not entire roles
- What past waves of digitalization can teach us about today’s AI boom
- Why job creation and job reduction may balance out over time
- How humans remain essential behind “automated” systems

AI innovation doesn’t have to be scary — especially when you understand how change has always worked.

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Transcript

Speaking of kind of the improvements that we're seeing in AI, right, and the capabilities that it has, um, you know, what are some of the really cool um, things that you think will come out of this from a job standpoint? Because I think a lot of people are definitely concerned um, or really excited about what it means for jobs. And um I kind of want to get an opinion of yours to uh you know understand where you stand on the whole is it going to create jobs is it going to remove jobs? Is it going to make jobs just different? Where do you stand on this whole thing? >> Yeah. Hopefully it does both. Yeah. Uh otherwise it will be boring. But I I have actually faced this question in the last uh 10 years. Um and most likely people that worked before me uh

at the companies I worked for that worked with the digitalization and so on they probably faced the same question for another decade earlier than that. Yeah. Um and what did I learn? I think if I look back it's like can you mention a profession that existed you know 50 60 years ago and doesn't exist today. It's not that many. >> Yeah not many. Yeah >> there are not many. Yeah but I think there is one that is totally gone and that is like the elevator operator that is very very seldom you see uh today. So that has been replaced by buttons with the number on and people can push uh themselves. But otherwise it's like you know you're replacing 10% you're replacing 50% 80% 90% of a job. So of course if you have a big mass of people doing the same thing you will

find some um some improvements there but otherwise it's still very difficult to fully replace a job. Yeah. You know, even autonomous driving today is based a lot on having people in the back office. Of course, yeah, one person can deal with, you know, several vehicles at the same time, but you know, it's not that one person totally disappears and then you should also add in the people that it takes to develop this and uh and maintain this etc. So, I think um yeah, I don't know if I want to give a number, but uh maybe it's plus minus zero. >> Plus, minus zero. That's funny. You know, fair. Um I think uh the elevator operator is a good example I might use moving forward because it's like it kind of illustrates the lack of like who cares, right? Like it's like okay, there's no elevator

operators. Who cares at this point, right? Like it's it was such a very specific need that no longer obviously is needed.