Venting to AI Can Ease Distress—but the Evidence Is Still Short-Term

The evidence for venting to an AI chatbot has advanced, but the claim remains narrower than “AI makes people feel better.” As of August 2026, a second experiment has found emotional improvements after AI-assisted venting, including less stress and loneliness, yet neither study establishes a lasting benefit or tests an AI chatbot as a replacement for therapy. The June 2026 follow-up study involved 279 participants and compared an acknowledged AI responder with a responder presented as human.

The original 2024 experiment still supports a more specific conclusion: an interactive chatbot performed better than journaling for some activated negative emotions, including anger, frustration and fear. It did not produce a significant advantage for perceived social support or loneliness. Crucially, the participants typed about upsetting experiences; the research did not test whether shouting at, insulting or verbally abusing a chatbot adds any benefit.

What the original experiment actually tested

The first study was a preregistered, within-participant experiment involving 150 people. Each participant completed an AI-assisted venting condition and a conventional writing condition, with the order counterbalanced and a one-week gap between them. This design allowed the researchers to compare how the same individuals responded to an interactive exchange and to writing without chatbot replies.

According to the researchers’ official record of the 2024 paper, AI-assisted venting reduced high- and medium-arousal negative affect more effectively than traditional journaling. Those categories covered feelings such as anger, frustration and fear. The experiment did not find a corresponding significant improvement in perceived social support or loneliness.

That split matters. Anger and fear are activated states: a person may feel an immediate need to put the event into words and receive a response. A chatbot can sustain that exchange without waiting for another person to become available. But a responsive text interface is not automatically experienced as a relationship, and the original results did not justify treating it as one.

The sample also limits the reach of the finding. A result from 150 participants in a structured, short-duration experiment cannot establish how children, older adults, people in crisis or patients with diagnosed conditions will respond. Nor does a comparison with journaling reveal whether chatbot venting is better than talking with a trusted person or a qualified professional.

The 2026 follow-up adds a revealing comparison

The later experiment addressed a different question: does emotional relief depend on believing that the responder is human? Its 279 participants were randomly assigned to an AI-assisted condition or a condition presented as human-assisted. In both groups, however, the underlying replies were generated by AI; replies in the perceived-human condition were lightly edited and placed in a context intended to make the human attribution credible.

Participants in both conditions showed improvements in some measured outcomes, including lower stress and loneliness and higher perceived social support. The magnitude of those changes was similar across the two groups. Awareness that the conversational partner was artificial therefore did not erase the measured benefit in this particular experiment.

This finding does not overturn the earlier result about loneliness. The experiments used different comparisons: chatbot versus journaling in 2024, and two differently framed versions of AI-generated feedback in 2026. The later study shows that the label attached to a responder did not create a measurable difference under its conditions; it does not demonstrate that an AI exchange provides the same relationship, judgment or duty of care as contact with an actual person.

The follow-up also sharpens the plausible mechanism without proving a single cause. A conversational response can acknowledge what was written, invite elaboration and keep the disclosure moving. The experiment suggests that such interaction can matter even when users know a machine produced it, but it cannot separate every feature of the replies that contributed to the reported changes.

“Yelling at AI” is a catchy but misleading description

Neither experiment evaluated volume, hostility or profanity as an intervention. “Venting” referred to disclosing a distressing experience through text and receiving responses. Presenting the result as evidence for yelling risks turning a controlled comparison of emotional disclosure into advice the researchers never tested.

The distinction has a practical consequence. If someone chooses to use a chatbot after a difficult interaction, the evidence concerns putting the experience into words and engaging with a reply—not escalating aggression. A useful exchange might identify what happened, name the immediate feeling and help organize what the person wants to do next. That is an editorial interpretation of the study’s narrow use case, not a clinically validated treatment protocol.

It is also possible for venting to become repetitive rather than clarifying. These experiments do not tell us how frequent, prolonged or highly personalized chatbot use affects a person over months, whether it displaces offline contact, or how outcomes vary when the system responds poorly. A brief reduction in distress should not be converted into a claim about long-term well-being.

Where the evidence stops

The responsible reading is that AI-assisted venting may be a temporary emotional aid for some people, particularly when they need to articulate an activated feeling. It has not been shown by these studies to diagnose a condition, deliver psychotherapy, resolve an unsafe situation or provide the accountability of a human professional.

Long-term psychological effects remain an active research problem. A July 2026 research and design paper identifies potential benefits such as self-reflection alongside risks including unhealthy dependence, emotional entanglement and amplification of psychological vulnerabilities. Its authors explicitly describe their proposed safeguards as directions requiring further empirical validation, rather than settled evidence.

That uncertainty supports a simple boundary: use a general-purpose chatbot, if at all, as a tool for short reflection rather than as proof that no human help is needed. Sensitive disclosures may also be processed or retained according to the particular service’s policies, so users should check those terms before entering identifying, medical, workplace or relationship details.

If distress involves immediate danger, self-harm, abuse or an inability to stay safe, a chatbot conversation is not an adequate endpoint. Contacting local emergency services, a crisis service or a trusted person who can act is the appropriate escalation. The research supports a modest conclusion—interactive writing can sometimes change how a person feels in the moment—while leaving the hardest questions about safety, durability and human connection unresolved.

Also read:

• Top 10+ Video Editing Software You Can Use with Ease
• Your UK Employer Can Monitor You—But “Available” Does Not Mean Lawful
• VLMs Can Already Hunt for the “Interesting.” But They’re Still Bad at Walking Away from What They’ve Found