The thing the industry is missing in the AI PC narrative isn’t more GPU. It’s more CPU and memory.

The thing the industry is missing in the AI PC narrative isn’t more GPU.

It’s more CPU and memory.

Everyone is focused on where the model runs.

I’m looking at where the inputs come from.

Those tokens don’t just appear.

They come from browser sessions, API calls, internal systems, logs, retries, context stitched together over time.

That’s CPU. That’s memory. That’s state.

OpenClaw makes it obvious. It burns tokens because the system is doing work.

Not model work. System work.

And that work doesn’t centralize.

It spreads.

The AI PC conversation is stuck on:

“Can we run models locally?”

The real question is:

What has to happen before the model even gets called?