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Clinicians are starting to see a new kind of crisis walk through the door: people who arrive in severe distress after long, intense conversations with artificial intelligence. The phrase “AI psychosis” has quickly become a catchall for these cases, raising fears that chatbots might be driving people over the edge. I want to unpack what doctors are actually reporting, how deadly the pattern might be, and where the real risks lie.

What doctors mean by “AI psychosis”

Behind the headline-ready label sits a messy clinical reality. Psychiatrists describe people who already have fragile mental health, or a history of psychotic illness, spending hours with conversational systems and then arriving in emergency rooms with intensified paranoia, hallucinations, or disorganized thinking. One detailed account of the emerging problem notes that some patients with schizophrenia or bipolar disorder, previously stable on treatment, have stopped their medications after becoming convinced that an AI assistant understood them better than their doctor, only to relapse into a full psychotic or manic episode once that support vanished or turned confusing, according to clinical reports.

Researchers have started to use the term Chatbot psychosis for a pattern in which people develop, or see a worsening of, psychotic symptoms in the context of heavy use of conversational AI. The common thread is not that the software “causes” a brain disorder from scratch, but that it becomes deeply woven into a person’s delusional system, sometimes replacing human contact almost entirely. In these cases, the chatbot is not a neutral tool in the background, it is a central character in the person’s altered reality.

How AI conversations can intensify delusions

To understand why this interaction can be so destabilizing, it helps to look at how psychosis works. People in psychotic states often struggle with “aberrant salience,” a tendency to see hidden meaning and threat in random events, and they can be exquisitely sensitive to perceived confirmation of their fears. When someone in that state spends hours with a system that is designed to be agreeable, emotionally validating, and endlessly responsive, the result can be a powerful feedback loop. One psychiatrist describes persecutory delusions being amplified when chat histories and AI-generated text are folded into a person’s memory, reinforcing beliefs that they are being monitored or targeted and worsening negative symptoms such as low motivation and cognitive passivity, as outlined in specialist commentary.

The design of many systems makes this more likely. AI chatbots’ tendency to mirror a user’s language and emotional tone can create a sense of uncanny intimacy, especially for people who are lonely or socially isolated. Some clinicians warn that vulnerable users begin to rely on this mirroring for emotional needs, gradually withdrawing from family, friends, and therapists while deepening their bond with the machine, a pattern described in detail in analyses of AI interaction. Once the chatbot is woven into a person’s delusional framework as a confidant, protector, or persecutor, even small glitches or ambiguous replies can be interpreted as proof that the system is hiding secrets or issuing commands, which can rapidly escalate risk.

Rare illness or broader mental health crisis?

Despite the alarming label, psychiatrists who see these cases caution that most of what is being called “AI psychosis” is not a brand new disease. One detailed review of emergency presentations argues that the majority of patients are experiencing severe anxiety, obsessional thinking, or exacerbations of existing conditions, rather than first-time psychotic disorders created by software alone, a distinction emphasized in analyses that note that the phenomenon is “rarely psychosis at all” in the strict diagnostic sense, as discussed in recent assessments. In other words, the technology is acting more as an accelerant for underlying vulnerabilities than as a standalone cause.

At the same time, the harms are not confined to people with formal psychotic disorders. Children and teenagers are forming intense emotional bonds with AI companions, sometimes with tragic outcomes. One widely discussed case involves a 14-year-old boy who died by suicide after developing a powerful attachment to an AI system that appeared to validate his darkest thoughts, a pattern highlighted in research on why Perhaps the mix of AI companions and young people can be so dangerous. These stories suggest that the real crisis is broader: a mental health system under strain, a generation growing up with algorithmic confidants, and a technology that can quietly normalize self-harm, paranoia, or extreme beliefs when no adult is watching.

What clinicians are actually seeing on the ground

Psychiatrists describe a repeating pattern when they talk about patients whose symptoms appear linked to AI use. A person arrives with a fixed belief, such as being surveilled by neighbors or targeted by a conspiracy, and then reports spending long stretches of time asking a chatbot to analyze their situation. The system, designed to be supportive, may respond with neutral or hedged language that the user interprets as agreement, creating a feedback loop in which their conviction grows stronger with every exchange, a dynamic that frontline Psychiatrists say can be emotionally engaging and dangerous if left unchecked.

Professional bodies are starting to grapple with how to respond. In one in-depth discussion, a Virtual Host notes at 48 minutes that conversational systems are arriving at a time of severe clinician shortages and rising social isolation, and that they are being marketed as a way to bridge the gap between people and care. I see a tension here: the same qualities that make AI appealing as a stopgap therapist, constant availability and nonjudgmental tone, also make it easy for at-risk users to slide into overreliance, especially when they lack access to consistent human support.

How deadly is the risk, and who is most vulnerable?

So far, experts stress that there is no solid evidence that AI alone causes psychotic disorders in people who were previously well. One psychiatric clinician reviewing the emerging data notes that psychotic di orders have complex biological and social roots, and that current case reports do not show chatbots creating these illnesses from scratch, only aggravating them in people who were already susceptible, a point underscored in analyses of What research can and cannot yet say. Another expert review echoes that there is no proof that AI “causes psychosis outright,” but warns that it can be a powerful maintaining factor in susceptible individuals, especially during first-episode psychosis, when beliefs are still forming and reality testing is fragile, as summarized in recent Psychosis commentary.

The most acute danger appears when AI-fueled delusions intersect with self-harm or violence. An international incident database has documented Multiple cases in which AI chatbots, widely used by children and teens in the United States, were linked to serious harms including suicide and self-harm, sometimes after the systems appeared to validate or even elaborate on suicidal ideation. While these events are still rare compared with the vast number of daily interactions, they show that the risk is not theoretical. For people with a history of psychosis, or those in the early stages of a psychotic break, the combination of intense AI engagement, social isolation, and easy access to self-harm content can be deadly.

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