A disconnect exists between executive leadership and day-to-day AI work in Silicon Valley. CEOs may be distant from the “last mile” tasks that generate most value with AI, leading them to focus on happy-path results rather than the many additional steps required for sustainable agent outcomes. Data shows heavy AI users encounter far more hallucinations and spend much longer obtaining answers, reflecting real operational friction. Some employees “tokenmaxx” by consuming large numbers of AI tokens, a cost side executives may underestimate. Workforce reductions tied to AI pilots can occur even when returns are unclear, suggesting AI-related layoffs may be driven by budget pressures or optics rather than demonstrated ROI.
"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."
#artificial-intelligence #workforce-reduction #roi-and-business-strategy #hallucinations #executive-decision-making
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