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Box CEO Aaron Levie believes that leaders who don\u2019t see the trial and error that goes into deploying AI into a business are \u201cuniquely prone to AI psychosis.\u201d<\/p>\n
In response to a post on X that claimed \u201cCEOs are the most delusional about AI,\u201d Levie wrote<\/a>: \u201cCEOs are uniquely prone to AI psychosis because they\u2019re sufficiently distant from the last mile of work that still has to happen to generate most value with AI.\u201d<\/p>\n 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. The University of California, San Francisco (UCSF), became the first to clinically document<\/a> \u201cAI-associated psychosis\u201d 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.\u00a0<\/p>\n Rather than the clinical condition, Levie seems to be using the term here loosely to describe executives who develop an inflated sense of AI\u2019s capabilities after only seeing polished outputs.<\/p>\n \u201cSo 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,\u201d Levie continued in the post, which now has more than a million views.<\/p>\n While CEOs often see exciting product prototypes or swiftly generated contracts, Levie said that those who don\u2019t see the process of actually making AI systems accurately and effectively work don\u2019t get the full picture.<\/p>\n His solution? For CEOs to use more AI.<\/p>\n \u201cThe 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,\u201d Levie concluded in his X post.<\/p>\n Levie has been an outspoken voice on X on all things tech and AI\u2014including the gap between AI\u2019s promise and the operational reality. Last November, he wrote<\/a> that \u201cbridging the AI models\u2019 capabilities to the customer\u2019s environment still requires a tremendous amount of long tail work.\u201d\u00a0<\/p>\n But after meeting with enterprise AI and IT leaders earlier this year, the multimillionaire CEO said that AI agents \u201care clearly the big thing,\u201d and that companies are using the tech across every part of their workflows despite the fact that high cost and governance could slow adoption.\u00a0<\/p>\n The Box CEO has also described the effects of the tech on his own workflow, saying in the past that conducting deep research with AI \u201cis an entire [sic] new form of productivity.\u201d<\/p>\n \u201cOften I\u2019ll kick off deep research on a topic before going to bed and just wake up and review the results,\u201d Levie wrote in an X post<\/a> last May. \u201cIt\u2019s one of the clearest examples of what AI agents will look like in the future.\u201d<\/p>\n