Something strange is happening to the people who run technology companies. They are speaking in tongues about superintelligence arriving next quarter, making corporate decisions based on what they believe sentient machines will want, and in some cases, requiring psychiatric intervention. The phenomenon has become common enough that researchers at Stanford's psychiatry department have given it a provisional name: AI-induced psychotic disorder.
The condition is not metaphorical. Clinical psychologists who treat Silicon Valley executives report a marked uptick in patients presenting with grandiose delusions specifically centered on artificial intelligence. These are not garden-variety tech optimists who believe their products will change the world. They are individuals who have lost the ability to distinguish between what AI systems can do today and what exists only in their imaginations—or in the marketing materials they have read too many times.
The symptoms are remarkably consistent
Affected executives describe AI models as possessing intentions, desires, and strategic goals. They speak of "what Claude wants" or "what GPT is trying to achieve" as though discussing a colleague rather than a statistical pattern-matching system. Several have reportedly made significant business decisions—hiring freezes, product pivots, acquisition targets—based on their beliefs about how AI systems will "react" to corporate strategy.
The grandiosity extends to timeline predictions. Clinicians note that patients frequently insist that artificial general intelligence will arrive within months, that their company will be the one to create it, and that they personally will be remembered as the most important figure in human history. When confronted with technical limitations or skeptical colleagues, they exhibit the classic paranoid response: those who disagree simply do not understand.
The industry's incentive structure is the pathogen
What makes AI psychosis particularly insidious is that the technology industry rewards the very behaviors that, in other contexts, would prompt concern. A CEO who announces that superintelligence is imminent sees their stock price rise. A founder who speaks in mystical terms about machine consciousness attracts venture capital. The feedback loop between delusional thinking and financial success has never been tighter.
This is not entirely new—tech has always attracted messianic personalities—but the stakes have changed. Previous generations of tech delusion involved social networks or cryptocurrency, domains where the worst outcome was financial loss. AI psychosis involves people who control systems that are being integrated into critical infrastructure, healthcare, and defense. The gap between their beliefs and reality has material consequences.
Our take
The tech industry has spent decades cultivating a culture that celebrates "reality distortion fields" and founders who refuse to accept limitations. That culture has now produced executives who genuinely cannot distinguish between a large language model and a god. The rest of us are left hoping that the people building these systems are not also the ones who have lost the ability to evaluate them rationally. Given the evidence, that hope seems increasingly naive.
