Cristiano Amon

We're way ahead of that, just looking at how it's performing right now, especially with Meta.

Yes.

So I'll start answering the question by saying the following.

There's a lot of people that will love Qualcomm.

There are people that are not going to like Qualcomm.

But one thing everybody's probably going to say, don't bet against Qualcomm being a technology-competent company.

I think, look, just last year, we're the number one company in America in terms of patent applications.

And every market that we actually enter, we actually develop something very unique from a technology leadership.

So now to answer your question, what are we doing?

We're very focused on the next phase of data center.

The next phase of data center, if you expect all of those projections to materialize and all of those companies investing in data center and AI to deliver the profitability the market expects, they're going to have to do inference.

Inference is actually when you put AI into production at scale.

If you see just some of the conversations you see in the market right now about concerns of growth rates, power is one of the concerns.

You need a lot of energy.

So we're coming from our DNA of building devices.

They're very efficient in power.

And we think about what are the architecture that is dedicated for inference, especially for the post-GPU, I think, architecture.

And I think that's what we're doing.

I think we're developing an architecture that is optimized to the highest possible compute density you can put on a data center for a very efficient power.

And people are interested, and we're just busy executing.