Ara Kharazian

More in the pure play model space than a Figma.

And yet Perplexity is also one of the fastest growing vendors on ramp, seeing a lot of uptake specifically because it's offering products that the model companies have not competed on yet.

It is additive, but it is still so small.

Again, we're talking about at the companies that are doing it for the first time, but doing it in an earnest way, less than a percent of the actual spend that's happening on their platform.

So it's hard to measure whether or not it is truly something additive to their profits.

Yeah, well, in my post about Anthropic, I actually was a little bit

hedging, if you would say it, about Anthropic's prospects going forward.

I think when we put out, because we started putting out this metric last year called Ramp AI Index, which is tracking the business adoption rates for Anthropic versus OpenAI.

For a long time, OpenAI was the leader.

Anthropic just took the first place spot.

And what I found over the course of putting out this kind of research is that people will often interpret my findings as me saying, oh, it's over.

Open eyes the leader or anthropics the leader.

That's typically not my intention, but it's also not how I see this market playing out.

An increasing share of firms on our platform are using more than one model in some deployed way across workers, whether that's a subscription-based deployment or if it's something that they're building into their AI-native product.

Firms that were early adopters are the most likely to use multiple models and add more AI vendors over time.

So if you want to consider the early adopters of sign of where the rest of the markets are going to go, and that has tended to be how AI adoption is developed in our dataset, then you can assume that the average business is also most likely going to have a couple onboarded models.

And then with that, there are signs that companies are becoming increasingly cost conscious as far as how much they're spending on their models.

For the typical business that spends on tokens, so APIs, and then also like the very high usage agent to coding.

Token costs for that business have increased 13x just over the last year.

It's still about, for those high intensity spenders, maybe about 2% of business spend, excluding payroll.