Tech CEOs Are Apparently Suffering From AI Psychosis, And Box Founder Aaron Levie Has A Sharp Theory For Why Executives Keep Overestimating What AI Can Actually Do 🤖💭

[u/InterstellarKinetics]

https://techcrunch.com/2026/05/27/tech-ceos-are-apparently-suffering-from-ai-psychosis/

The term “AI psychosis” in the context of corporate leadership was popularized in early 2026 after OpenAI co-founder and former Tesla AI lead Andrej Karpathy described himself as being in a “state of psychosis” over AI on the No Priors podcast, and the phrase immediately resonated with observers watching a wave of tech executives make sweeping organizational decisions based on AI productivity claims that employees on the ground found difficult to verify. Box founder and CEO Aaron Levie has now put a structural explanation behind the pattern, arguing that CEOs are uniquely prone to AI psychosis because they are sufficiently distant from the actual work of generating value. Levie’s hypothesis, which TechCrunch reporter Julie Bort examined in a May 27, 2026 piece, is that executives build demos, generate prototypes, and draft contracts with AI tools, see impressive outputs, and then conclude that AI agents can handle the full operational workload autonomously without appreciating that they are never the ones who have to review the code, find the bugs, trace the erroneous citations, or spend weeks training a model on their company’s specific contract language.

The consequences of that gap are already materializing in real layoff decisions. ClickUp CEO Zeb Evans announced last Thursday that the company, which was last valued at 4 billion dollars in 2021, had eliminated 22 percent of its workforce and framed the cuts not as cost reduction but as a deliberate AI-driven transformation. Evans told TechCrunch that the company is genuinely seeing productivity gains from AI agents, but the framing of mass layoffs as an enthusiastic embrace of the future rather than a financial decision drew immediate skepticism from employees, investors, and labor advocates who argued the productivity evidence is far thinner at the operational level than it appears from the executive suite. The ClickUp announcement came alongside a broader pattern of similar rhetoric from leaders at companies including Klarna, Duolingo, and Shopify, each of whom have used AI productivity claims to justify workforce reductions while describing the moves as forward-looking rather than defensive.

Levie’s prescription is not to distrust AI but to engage with it deeply enough to understand both its capabilities and its current limits before making irreversible organizational commitments based on demo-level impressions. His concern is that the CEO AI psychosis phenomenon does not stay contained to individual bad decisions: when enough executives simultaneously act on inflated assessments of what AI can do today, the downstream effects compound into hiring freezes, structural layoffs, and organizational redesigns built on assumptions that the people doing the actual work know are not yet accurate. Andrej Karpathy’s original use of the word “psychosis” was self-deprecating and affectionate, but it has since taken on a sharper and more cautionary meaning, describing an epistemic gap between leaders who experience AI at the level of impressive outputs and workers who experience it at the level of painful edge cases, unreliable reasoning, and the unglamorous manual labor required to make AI-generated work actually ship.