Kathryn Anne Edwards

And if I covered the x-axis, you'd never find the internet.

You'd never find computers.

You couldn't point and say that's the year that the internet became mainstream or that's the year the personal computer sales took off.

You would never see it because it takes a long time for that productivity to be adopted.

So I think where we are right now is in a place where

where we don't have enough data points to parse out a story.

And so we know what's going to happen.

We don't know how it's going to happen or how quickly.

That leaves room for both of these things.

I mean, my instinct on this is that a lot of people are using AI on the job and that they've, you know, whether or not they told their employer, they've got ChachiBT or Claude going to help them work.

Could be to impress the boss, could be to prevent them being the one that gets laid off when something occurs.

But people using it on the job versus adoption at the firm level, that would kind of be a clear cause and effect to layoffs.

I don't think we've seen too much firm level adoption yet, which is what most economists would say when the layoffs would really start to roll in.

You know, this is the problem with new technology.

It's just it leaves a lot of room for guessing.

I think what we can rest on are certainties and things that we know are happening.

The economy is slowing down.

The administration has destructive economic policy.

And we have longstanding weaknesses in our labor market that can be exploited by new technology and would absolutely cause harm without having to guess.

I take your point, but I'll put back to you, what do you need to know?