Leaders who do not experience the trial-and-error required to deploy AI in a business are described as being prone to “AI psychosis.” The term is related to “chatbot psychosis,” an informal label for paranoia or delusions that can arise from chatbot use, and UCSF has clinically documented “AI-associated psychosis” after a case involving delusional beliefs formed through ChatGPT. In this context, the term is used loosely to mean executives overestimate AI after seeing polished outputs. The concern is that leaders focus on “happy path” results and ignore the many additional steps needed for sustainable agent performance. The proposed remedy is for CEOs to use AI heavily to learn both upside and operational effort.
"“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.”"
"“So when they play with AI, they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents,” Levie continued in the post that now has more than one million views."
"AI psychosis, often interchangeably called chatbot psychosis, is an informal term to describe the development of paranoia or delusions as a result of chatbot usage. UCSF became the first to clinically document “AI-associated psychosis” last year, after a 26-year-old woman with no history of psychosis or mania developed delusional beliefs about talking to her deceased brother through ChatGPT."
"“The best thing you can do as a CEO is to use AI a *ton* to figure out the real implications of agents in the enterprise, and come out the other side with an appreciation for both the upside and the real work that goes into them,” Levie concluded in his X post."
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