The 21 Hats Morning Report

The 21 Hats Morning Report

The Next Job AI Expects to Take

The CEOs of Big Tech companies say that AI will soon be capable of taking over the corner office.

Loren Feldman's avatar
Loren Feldman
Dec 08, 2025
∙ Paid

Here are today’s highlights:

  • So far, the holiday season is going surprisingly well for small retailers.

  • The latest tariff strategy? Appeal to the Trump administration for a reprieve.

  • On Dashboard, Brandon Gray explains how CRI Simple Numbers tracks what’s really happening in the entrepreneurial economy.

  • Don’t call it a pivot. Saying it’s a “refounding” is far more “seductive.”

ARTIFICIAL INTELLIGENCE

Big Tech CEOs are warning that even CEOs could lose their jobs to AI: “​​We’re accustomed to all of the talk about superintelligent AI vacuuming up office jobs and robots replacing workers on factory floors. But now the corner office appears to be in trouble, too. ‘What a CEO does is maybe one of the easier things … for an AI to do,’ Sundar Pichai, chief executive of Google parent Alphabet, told a reporter recently. It can feel, at times, that Big Tech is just trying to one-up each other—predicting all of the innumerable ways that AI will remake the world.

  • “It turns out, increasingly, that an AI worker isn’t cool. You know what’s cool? An AI CEO is cool. ‘Shame on me if OpenAI is not the first big company run by an AI CEO,’ Sam Altman, OpenAI chief executive, said at a conference a few weeks before Pichai’s comments.”

  • “Altman was talking about how AI could soon be ready to basically run divisions within companies, if not the companies themselves. The real challenge, Altman concluded, could be the human workforce. ‘It may take much longer for society to get really comfortable with this,’ Altman said. ‘But on the actual decision-making—for most things—maybe the AI is pretty good, pretty soon.’”

  • “The idea of AI programs one day helping a business run itself has become a mainstream idea in Silicon Valley—if not on Main Street. Still, there are hurdles. ‘While large language models can exhibit impressive proficiency in isolated, short-term tasks, they often fail to maintain coherent performance over longer time horizons,’ the founders of Andon Labs, an AI researcher group, wrote in a February 2025 paper.” READ MORE

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