Welcome to the podcast. I'm your host, Jaden Schaefer. Today on the show, we're covering a bunch of

different news stories. Open AI is reshuffling their leadership. They're trying to get back a bunch of

lost ground on enterprise, which it feels like Anthropic has kind of been beating them at for a while now.

There is a key opening eye infrastructure partner that has just hit unicorn status. And of course, there's a whole wave

of inference startups that are showing basically where I think a lot of the AI money is actually

going to be flowing in 2026. Plus, I want to break down a new benchmark that shows why white

colored jobs are actually not disappearing nearly as much as they were predicted in the past.

And again, a former Sequoia

partner is betting that AI agents can finally fix calendar scheduling if you want to get into

some interesting AI use cases. This is the AI chat podcast, which is a daily podcast,

covering the most important news and conversations in AI. So let's get into the episode.

I think according to reporting from the information they have, basically if you, by the way,

if you don't have the information, it's I think one of the best insider tech news.

So, you know, free plug to them. But Open AI, they have a whole report on, which says that Open AI has appointed

Brett Zof to lead their enterprise sales efforts. Zof is pretty familiar inside of the company. He

previously was the vice president of post-training inference before he left in 2024 to go

co-found thinking machine labs with former Open Eye CEO or or cTO miriam ratty so this i mean just

in and of itself this got a lot of headlines the fact that he left open ai to go found this company

and then you know they raised like a billion dollars and less than a year later before any products

were shipped he came back to open ai and what you know it's like has this new role inside, which is kind of funny.

He came back last week, and I think there's not like a lot of new, like, circumstances that

we know about why he left thinking machine labs. So that's pretty unclear. The timing is pretty

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