Tamay Besiroglu

Because as I said, you can scale your data collection.

You can scale experiments you do both in the AI industry itself and just more broadly in the economy.

So you just discover more things.

More economic activity means we have more exposed surface area to have more discoveries.

All of these are things that have happened

in our past.

So there's no reason that they couldn't speed up.

The fundamental thing is that there's no reason fundamentally why economic growth can't be much faster than it is today.

It's probably about as fast right now just because humans are such an important bottleneck.

They both supply the labor.

They play crucial roles in the process of discovery of various kinds of productivity growth.

There's just strong complementarity to some extent with capital that you can't substitute machines and so on for humans very well.

So the growth of the economy and growth productivity just ends up being bottlenecked by the growth of human population.

Yeah.

So I would say in some ways it's similar, in some ways it's not.

Probably the most important way in which it's not similar is that in China you see this relative, like you see a massive amount of capital accumulation, a substantial amount of adoption of new technologies and probably also human capital accumulation to some extent.

But you're not seeing a huge scale-up in the labor force.

While for AI you should expect to see a scale-up in the labor force as well, not in the human

workforce, but in the AI workforce.

2000s or maybe late 90s.