
Tech industry volatility mirrors earlier major shifts while also presenting unprecedented contradictions, such as record revenues alongside mass layoffs. A theory attributes the pattern to AI-driven delusions of grandeur among tech executives, especially CEOs. The claim is that executives experiment with AI, build prototypes, or generate contracts, then assume AI agents can perform the remaining work. Executives are said to be insulated from the operational realities that require code review, bug discovery, and handling hallucinated libraries. They also may not manage model training on company-specific contract terms or manually audit contracts for hidden clauses. The result is action based on incomplete understanding. The proposed remedy is for CEOs to use AI extensively to learn both its upside and the real effort required.
"“CEOs are uniquely prone to AI psychosis because they're sufficiently distant from the last mile of work that still has to happen to generate most value with AI,” Levie wrote on X."
"CEOs “play with AI,” develop a prototype, or generate a contract, to use Levie's examples, and then make the leap to believing agents can do the work. But these top-level executives aren't the people who have to review code, discover bugs, and identify calls to hallucinated libraries before software is deployed. They aren't responsible for training AI models on a company's idiosyncratic contract terms, nor do they have to spend days combing through contracts to find sneaky terms, as Levie indicates."
"In other words, Levie's theory posits, CEOs don't really understand processes well enough to know what really can and can't be automated. But that lack of knowledge doesn't stop them from acting on their beliefs. It's important to note that Levie is not an AI hater. Quite the opposite. He mostly posts AI positivity on X to his 2.7 million followers, writing blogs titled, “Headless software is the future” on how software built for AI agents is the way forward."
"So what are CEOs to do instead? Levie advises CEOs to use AI “a ton” to really see what it can and can't do, “and come out the other side with an appreciation for both the upside and the real work.”"
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