Tim Paradis

I've talked to a, yeah, I talked to some, I'm trying to think who we spoke to for this story.

I've talked to people, not necessarily for this story, but other folks, you know, to inform prior reporting.

And I've also talked to some professors who spend a lot of time looking at this industry and they sort of get that sense that, you know, because partly, again, this fear of, gosh, we're spending all this money on AI, what are we going to do?

One of the experts I talked to about this actually made the interesting point, too, because AI itself is so quantifiable.

You can say we're doing all these things and here are all these dashboards and reports.

Then we have this massive side of our ledger, which is all the workers.

And so we need to have a little bit more granularity, a little bit more insight into what they're doing and sort of what they're, you know, whatever cliche you use, proof points or whatever corporate jargon you'd use.

Like what is their ROI as well?

Yeah, I mean, the folks I talk to, you know, professionally, even personally, I know a lot of people, it's just tough for a lot of these jobs.

You know, companies are... It's not that nobody's hiring.

It's not that there's no hiring.

You know, in the U.S.

here, the overall employment rate is quite low.

But there are, you know, people who have been out of work for more than six months or so is ticking up.

And so for certain people in certain fields...

It is really tough.

And particularly where there's that influx of AI, I think there's a lot of question around companies are asking, what can we do with AI?

What do we need people for?

And can we just do, quote unquote, do more with less?

Well, thanks for having me, David.