Azeem Azhar

They lend themselves to persistent and perpetual improvement and they generate complimentary services, which in this case could be new types of jobs.

Is all of this fast or slow?

Perhaps the question is really, is this fast enough considering the investment that's going into AI within companies and across the economy in general?

For lots of people, this story is slow.

You know, there are roadblocks, there are problems.

It is difficult.

It's proving to be difficult.

But in truth, this isn't a case of not ever.

It's a case of not yet for most, I'd say virtually all of these companies.

You know, what they're doing is something that's new.

It's something that's complicated.

It's something for which there isn't yet a dummy's guide to.

And the first time you do anything, it always takes longer than it will in a few years from now.

So if you're impatient about all of this, it feels really, really slow.

But the truth is, and here is the twist, it's the fastest rollout of technology we've ever seen.

The fastest adoption of a technology.

The St.

Louis Fed released a paper also this week looking at generative AI adoption, and it's based on a regular self-reported survey that they do.

So caveats, self-reported survey, not revealed preference or not monitoring real actual behaviors.

But they do have a consistent methodology.