Jack Farley

What about some of the other models?

What are the trends that you're seeing in terms of spend on models that maybe people aren't nearly as aware of?

I mean, that sounds like a pretty big bear case for just for spend on AI.

To what extent do you think people are figuring out that, oh, these tasks, now that we're getting better at creating and training our own agents, that they just don't need the frontier models?

Like,

how much of our work that we do doesn't require a frontier model.

And up to this point, it's always just been like, let's just throw compute at the problem and that will solve it.

And that it's actually just going to be like thinking a little harder about what the process should be.

Have we seen like a software plugin that

that basically determines what sort of model your task should go to?

I mean, Cursor does that.

So on the Ramp AI Index, you know, in public markets, Index Inclusion Day is a big deal.

People speculate, what's the company that's going to be added to the S&P 500?

It's going to create all this.

What is going to make a model?

Obviously, there's a huge gap between Anthropic, OpenAI, and everybody else.

Who's on the short list to be added to the Ramp AI Index?

And what are the sort of criteria that you're looking at to say, hey, this is a company that deserves to be, you know, on the list with the big boys?

What have you seen in this early stages of this research?

There's been speculation a lot of these layoffs that CEOs are attributing to AI adoption are really just regular old layoffs.