Ben Zweig

It is still very early.

And, you know, you mentioned the title of that paper was Canaries in the Coal Mine, really just because, you know, we're looking at very early signals.

But I think as more data comes out, I think what I would want to look at is, you know, what actually happens to adoption within firms.

So are firms adopting this technology in their workflows?

I think we'd be able to see that from...

you know, what people say on their resumes and profiles.

Like, you know, what do they say in their bullet points, you know, like on their resume?

What are the work activities that show up?

Even in job postings, I think we'd be able to see it.

I think you could see it in qualifications and requirements.

I think you could also see it in the sections on responsibilities.

So if they say, you know, your job, you're being hired to do these, you know, six responsibilities and they outline, you know, responsibilities that are really about, you know, interacting with AI systems, we would reasonably conclude that this actually is a responsibility that they're giving to people in the actual job.

And it actually is a core part of their workflow.

So I think if we start seeing more of that, I would say we have a lot more evidence that there is some adoption going on, which, by the way, adoption doesn't necessarily mean that this will lead to labor substitution.

Like you could have adoption of AI that augments certain workers and creates more employment opportunities.

I think here's how I would kind of frame up this question.

So we mentioned jobs are collections of tasks and activities.

As some tasks get automated, let's say you have 20 different tasks or activities or responsibilities in your job.

And let's say six of those get automated.

Then you're left with 14.