Seth Fiegeman

That's right.

We really don't have any numbers here.

I mean, it is another testament to the scale of OpenAI's ambition in particular on the infrastructure front, as well as Foxconn's desire to diversify away from its reliance on Apple and really gain momentum on the AI server front.

But I think stepping back from it, the really important thing to take away apart from a lot of the rhetoric around what it means for U.S.

manufacturing is what it means for OpenAI as it tries to

not just move faster on the infrastructure front, even in the face of anxiety about AI spending, but also begin to build more of a moat or competitive advantage on the infrastructure side.

We talk a lot on the show and elsewhere about how much and how quickly AI models are being commoditized and whether there's a competitive advantage there.

But I think what you've seen all many opening AI do is try to assert more ownership over the supply chain for data center build out and chips in a way that could give it a different competitive advantage and lower costs in the long term.

That's right.

I mean, look, most people are probably more consumed by thinking about the models that we use in the chatbots, but they're talking about a lot of the key components that go into setting up and operating data centers from the data center server racks to cooling and power equipment to the cabling.

These are not the sexiest things, but they're essential if they're trying to build out a massive scale of data centers here and abroad.

Immense.

And we're not even mentioning what they feel from Google now, which seems to have built a model that either rivals or out-competes anything that opening eye currently is in the market, which gets back to, again, they want to have a competitive advantage, not just on the model side, but on the infrastructure that supports it.

And increasingly, they're tying themselves to all different corners of the market and all different key players in tech to make it so they're too big to fail.

You certainly ask interesting questions.