Rene Haas

We're super happy to see that.

Yeah, I have a lucky job.

I get to work with just about everybody in the industry across the planet, whether it's in the

Fab Foundry area, whether it is a chip company, whether it's an OEM, whether it's a software provider, we work and talk to everyone because Arm is just so pervasive.

The common theme we see is continued investment in AI and not just at the data center.

It's trying to figure out how do you run those AI workloads everywhere?

How do you run them in wearables?

How do you continue to make them more efficient in a smartphone or a PC?

Or in physical AI, whether it's autonomous driving and or robotics.

So we're involved in all the conversations and the common theme is

heavy, heavy investment.

And one of the challenges that we see in the chip world around this is, as you know, it takes a couple years to build a chip.

The IP that we developed that goes into the chips, maybe a couple years in before it.

Trying to predict what the architectures look like four years after the chip has been designed

where the AI models are going is really very tricky.

That lends itself also, though, very well to Arm, because we are programmable, we are flexible, and we are low power, meaning that wherever the chips drop, no pun intended, we should be in a very good position to be able to drive those workloads.

There's a company nearly every chip maker relies on that doesn't actually make anything tangible.

We are the CPU, the heart of everything.

They're the winner of the CPU side.

The foundation models, the software, it's moving far faster than the hardware.