Fractal’s Post

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Companies that are, you know, like any technology, you have early adopters and then you have, you know, the, the, the vast majority in the middle and then you have the laggards, right. One of the things that we see is also a huge generational component to this. So if you're in your 20s or let's say in your 30s, you're pretty AI fluent or at least willing to use these technologies on daily basis. And what we've seen actually, as you age older into their workforce into your 40s, you use it less often. You find it like, it's curious, but you're like, you don't use it every single day. And then as you get into older workforces, like in your 50s and 60s, there's a lot of fear around it or they just don't know how. And so the reality is that you can't write off half of your workforce. Not all of your workforce is is in your 20s and 30s. And so you have a lot of people who are mid career and later career. And so you either develop technologies that they start using and the entire company becomes much more productive, or you have just a very significant part of your workforce that is not connected to this this. Way of working and that's really really problematic and so for companies that identify the AI as a particular useful tool in productivity in their own specific industry it really behooves them to get all their employees trained on it so that they can actually benefit from the technology and not rather have laggards and for individuals looking at this from an individual perspective if you are not already experimenting and. Uh, learning from it on a, on a consistent basis, you really stand to lose in the future in your own career because people are afraid. Like, you know, I live in LA and there's Hollywood and Hollywood likes to think that aids in the come and science fiction and take over all of our jobs. And the reality is I don't think that's gonna be the case. I think I will take over some tasks and in the future, you're going to have people who are really good with using AI and they're going to succeed. And then you're going to have people who don't use AI and they won't be as successful. And their work in their careers. And so that's really an individual impetus and African organizational impetus. Leadership is, is I want the entire workforce to be AI fluent so that they can actually really benefit from these Productivity Tools. Yeah. You know, one thing that I would add there is organizations really miss out if older employees don't feel fluent. And we're we're seeing this kind of generational gap emerge as Keyon referenced. And I think it's a real troubling sign because the outputs that you get from AI are only as good as the inputs that you can feed it and. More experienced individuals have better inputs to feed it. You know, similar to, you know, business schools as an example, you know, I went to Business School, Kean went to Business School. We've now taught Business School students. And one thing we know from having been in and taught Business School students is the more experienced the student, the more they're able to comprehend the material, engage in class, offer valuable perspectives to others, etcetera. Somebody who comes straight out of undergrad, they may be wicked smart. But they don't even know. Sometimes they don't even realize it when an insightful comment was made because insight requires context. I could say something that's like phenomenally insightful to you about for example, you know, Keenan mentioned Hollywood framing a shot. If you haven't stood a long time behind the camera, you know, that insight goes right over your head. You don't even appreciate it, right? And and yet, and yet experience cameraman, you know, or Cameron women might go, ohh, yeah, great point. Right? And that's it. There's something about experience that allows you not only to give but also appreciate input. AI is a fantastic novice, and the power of kind of novice and expertise has been well documented by neuroscientists like Beau Lotto, among others.