Tracy Alloway

I mean, to me, the moment when things seemed to get very serious was the release with Claude Code.

And at that point, you went from like, okay, the model could not just tell you things, but it could actually do things for you.

Was that the vibe shift that you anticipated or experienced as well?

Well, the other thing that you tend to see is people release these charts of like which job is most exposed to AI.

And it's usually like, you know, a knowledge worker at the top or something like that.

Your work is really interesting to us because you point out that a job is like much more than just the sector that you're actually working in.

Tell us more about that.

Now you have to think, okay, so a person is going to get... So just to be clear, before we go any further, if I'm working on a factory floor and one of my tasks is to pull a lever, that is something that could presumably be automated.

But if the other part of my work is...

to observe how things are actually working on the floor and to report back to managers, that might be something that's still valuable under our sort of AI future.

You haven't succeeded in your task.

That was kind of the argument that Jared Sleeper was making in our defense of software episode.

So setting the archetypal guy pulling one lever aside, what are the real world jobs in your framework that are actually most exposed to AI risk?

The one-dimensional work, I guess.

Wait, say more about that because this gets to the, you know, like what new jobs could we actually see from this question, which I never see a satisfactory answer to.

So if they do have that data.

Are we all going to be rare earths miners?

I'm mining for dust.

Well, okay.

Actually, on this note, I wanted to go back to this because this seems like key to me when it comes to AI utopia versus dystopia.