AI Technology and Economic Inertia

I thought

when

we got to GPT-4, which was back in twenty

twenty-three, I think, uh, that very quickly after that there

was going to be much more disruption in

software business being up for grabs right,

right away than it turned out to be.

And the thing that--

I think I was wrong about a few things, uh, but one of them,

in terms of the speed, one of them is the economy just has so much inertia.

People keep doing the same things they're doing.

They keep buying from the same, uh, you know, company.

They keep sort of wanting to use their tools in the same way.

I think that's actually a positive in many ways, and it's gonna make this big

transition in front of us go smoother and slower, and I'm grateful for it.

But I think it means we've all been too ambitious on timelines, even

with this incredible technology.

I think AI's one of the most incredible technologies humanity's ever invented.

Society and the economy will adapt more slowly.

Yeah, it's funny. We were talking before we started recording

that there's all

these parallels to history. Obviously, I read history for a living.

When you were just talking, I wasn't even thinking about OpenAI

and AI and Sam

Altman. I was thinking of, like, reading this biography of Larry Ellison

in, like,

the '80s. He was just like, "Guys, this isn't a software problem, problem.

It's a people problem."

Yeah.

"We have to convince them. Like, we can install software.

They, they're not using it. We have to change their behavior