And what the thing that I, of course, worry about, though, is that companies are just taking it too far. And I think that companies always take things too far. And that's where we see we'll see, I think, a correction as more problems start to occur with things that are being done by AI that really shouldn't be. Because just because we can automate something doesn't mean that we should and doesn't mean that we won't eventually get dinged for it. So I think right now we're just at the very beginning of that. And we're going to start to start to see some human jobs come back, especially those that are related to oversight.

I think the displacement fears are real, but I do think they're slightly overstated, and I'll tell you why. We are seeing what I like to term blunt force automation. So CEOs are getting really excited about the potential for AI, and they are just letting go huge swaths of their human workforces to replace it whole scale with AI. AI, in many cases, is not as good as people think it is. And you can quote me on this. CEOs are going to be chasing and will have to say, oh, my gosh, I want my people back because I need people to actually oversee this technology. I would argue that we're going to see a retraction of these layoffs and that humans will be back in the mix.

I would argue that we're going to see a retraction of these layoffs and that humans will be back in the mix. Again, though, what I said before is really important, that you have to know what your role is. And if you're going in to do administrative work or repetitive work or task-based work that AI can easily take over, you are not going to survive. But if you are willing to provide that really essential institutional knowledge and judgment and creativity that only humans can bring to the table right now, then you'll be in a pretty good spot. And you mentioned having purpose and universal basic income. One thing that I think is good to point out in response to that question is I think, and again, as a futurist, I make forecasts and sometimes they're accurate and sometimes they're not.