 Teams I've worked on have done a lot of AI stuff. I guess I would say I like the unsexy side of sexy technology. So when we were doing kind of image recognition for figuring out if people are trying to put porn in ads, we were competing with people. Guys, this is Dr. Nancy Lee, a direct product on Future Inforbs. I help 100 people land their dream PM job offer in fan companies in unicorn startup and continue to get promoted as a product leader. In this channel, we cover tech trends and free product management training. Like and subscribe, check out our new video every Tuesday. How can people become an AI product manager? Teams I've worked on have done a lot of AI stuff, kind of machine learning, computer vision related stuff, image recognition, so on. So I think working on some of those kinds of basics and things that are like, I like, in general, I like the, I guess I would say I like the unsexy side of sexy technology. So specific example, we were competing for PhDs in ML and AI related disciplines. When we were doing kind of image recognition for figuring out if people are trying to put porn in ads, we were competing with people trying to, you wanted to build filters for Snapchat or Facebook or whatever, real time computer vision applications. And so I think, again, like if you're thinking about some of that stuff, I'd say look at fundamentals of the baseline, the basics and learn those. That's always a good thing to, to, you know, that's one way to kind of get up to speed on something in a way that maybe isn't as, might be harder, less hard to get into than if you're trying to go work at the hottest new startup that's doing some of this stuff. Again, you should try that too, but the reality is a lot of these fundamentals, I think will stand people in good stead if they learn them and they understand them deeply. Exactly, all come from the foundations and fundamentals. And then you can move on to either larger tech, smaller tech and totally up to your, your career choice. So Andrew Chan said something very interesting and he was talking about, hey, for companies like Google meta, all the like big tech, like fan companies, and when they need employees, they bring employee into the new company. And then once the most hadn't employee joined a company, they hope that dreams get killed there because they're working on something, not very passionate and the interview is very difficult. Once you get into working on something small and once there's a layoff, you're the first one to go, you just, your dream get killed. So therefore he's totally anti-join big tech company. So what's your reaction to it? Do you agree, disagree with any truth to it? Well, I think, look, I think it's both something that he's saying that's in his interest to say, right? As someone who works at a prominent VC fund, that want people to join these other companies. And there is some truth to it because, you know, you're gonna have a slower pace of innovation. You may work on a project that gets killed. You may work on something that's not core to the business. You know, there's, there's definitely lots of, lots of things that the trade-offs are, you probably get paid better, at least more, you know, at least in the short term. Now, if you work at a startup that turns out to be a, you know, 10, 10,000 X, whatever it is, you know, you're gonna make more money. But the point is, and a lot of people, again, to be clear on doing this for money, but look, I think there's always reality to team, the company, the org. I think there's many more questions when you go to a big company. It's like, okay, well, how are these organizations gonna change over time? What's the leadership like? And like, there's a high degree, I would say there's a high degree of between how good different organizations are at these big companies, and how, and good maybe is too objective a term, how matched they are, or gonna be are to your career aspirations and to, you know, the things you wanna learn. So for me, I think a lot of it's about, do I feel like I can learn stuff here? And then the reality is, for anyone who's worked in startups, sometimes you just kind of need to, you need something a bit more stable. And again, with tech layoffs, maybe things aren't as stable, but you may need something where the dynamics of, the trade-offs of high risk reward variance is lower and just stability is, because you can't just kind of be going on and on and on for years and years and years. I found when I was working in startups, it was taking a lot less money for many years. And again, we had a good exit to my first startup and it was good, but it still, I probably would have made more money if I'd been a product manager at one of these other big companies, right? When you added all up at the end of the day. So I think, again, it's another one of these things that's a trade-off, I would just suggest people do the due diligence, talk to PMs, talk to other functions, talk to folks at these companies, do the research. Again, take the stuff you read online with a grain of salt, if you have other platforms, like some of that stuff is actually really interesting. Some of it's a bit vitriolic, but again, do your diligence and talk to more people than you would otherwise.