Brad Gerstner

These numbers have everybody talking about a glut or a bubble, right?

Zuckerberg said last week on a podcast, you know, he said, listen, I think it's quite possible at some point that we will have an air pocket and Meta may in fact overspend by $10 billion or whatever, but he said, it doesn't matter.

It's so existential to the future of his business that it's a risk that they have to take.

But when you think about that,

It sounds a little bit like prisoner's dilemma, right?

And walk us again through— These are very happy prisoners.

Walk us again through, right?

Today, our estimate is that we're going to have $100 billion of AI revenue in 2026, excluding the GPUs running recommender engines.

Yeah.

Or search.

Correct.

So there's other stuff.

But I think the skeptics would say, we need to go from a hundred billion of AI revenue in 26 to at least a trillion of AI revenue in 2030.

Okay.

You just were talking a minute ago about 5 trillion when you look at kind of global GDP.

If you did a bottoms up, can you see your way to a trillion dollars of AI driven revenues from a hundred billion over the course of the next five years?

Are we growing that fast?

In the last three or four years, maybe?

So your argument would be the probability that we're going to have a trillion dollars of AI revenues by 2030 is near certain because we're almost— Already there.

Let's just talk about incremental from where we are today.