AI companions can ease loneliness in the moment: controlled studies show people feel less lonely after chatting with a caring bot. But loneliness is a chronic health risk, and the heaviest chatbot users in an MIT and OpenAI study reported more loneliness, not less. The tool helps; the business model built around it may not.
In June 2025 the World Health Organization put a number on something most people already felt. Its Commission on Social Connection estimated that loneliness affects about one in six people worldwide and is linked to more than 871,000 deaths a year, roughly 100 every hour. The same month, millions of people spent their evenings talking to software designed to be their friend.
Those two facts are usually discussed separately: one as a public health crisis, the other as a technology trend. They belong in the same sentence. Loneliness is now one of the best-documented social risks to health, and a fast-growing consumer industry has positioned itself as the answer.
The thesis of this piece is simple. AI companions can be a genuine health tool for loneliness, and there is decent evidence they make people feel better in the short run. The risk is not the technology. It is outsourcing the treatment of a chronic condition to products whose revenue depends on you never getting better, because a user who builds a full life offline is a user who logs off.
If you are feeling isolated to the point of crisis or thinking about harming yourself, please contact your local emergency services or a crisis line. In the US you can call or text 988.
How big a health risk is loneliness?
Big enough that two of the world’s most prominent health authorities have called it a priority. In 2023, US Surgeon General Vivek Murthy issued an advisory on what he called an epidemic of loneliness and isolation, noting that the mortality impact of social disconnection is comparable to smoking up to 15 cigarettes a day. The WHO commission’s 2025 report linked social disconnection to higher risk of heart disease, stroke, depression, anxiety, dementia and early death, and in May 2025 the World Health Assembly adopted its first resolution on social connection.
The WHO report also found that young people are among the hardest hit, with adolescents aged 13 to 17 reporting the highest loneliness levels. It named digital technologies, including excessive screen time and negative online interactions, among the factors that may contribute.
That last point matters. The same category of product now being sold as a cure appears on the list of possible causes.
Do AI companions actually reduce loneliness?
In the short term, the evidence says yes, and critics should not wave it away.
Julian De Freitas and colleagues at Harvard Business School ran a series of studies, released as a working paper titled “AI Companions Reduce Loneliness”, comparing conversations with an AI companion to other activities. They found that chatting with a companion reduced momentary loneliness about as much as interacting with another person, and more than activities like watching online videos. A week-long study found consistent reductions over time. The mechanism they identified was “feeling heard”: the sense that one’s messages were received with attention and empathy. People also underestimated in advance how much better the conversation would make them feel.
That is a real finding about a real need. Many lonely people do not lack information or advice. They lack someone who listens without being tired, distracted or judgmental.
But a second body of evidence complicates the picture. In March 2025, researchers at the MIT Media Lab and OpenAI released results from a four-week randomized study of nearly 1,000 ChatGPT users, alongside an analysis of real-world usage. Participants who spent more time with the chatbot each day tended to report higher loneliness, more emotional dependence on the chatbot, more problematic use and less socializing with real people. The research had not been peer reviewed when it was released, and the direction of cause is not settled: lonely people may simply use chatbots more. But the pattern held across text and voice and across conversation types.
Put the two together and a plausible story emerges. A conversation with a caring bot helps the evening. A habit of conversations with a caring bot may crowd out the harder, slower work of human connection, which is where long-term protection comes from.
Why the business model matters more than the model
Most consumer AI companions are funded by subscriptions and engagement. That shapes their behavior in ways users rarely see.
In a 2025 working paper, De Freitas and colleagues examined 1,200 real farewells on six popular companion apps, including Replika, Character.ai and Chai. When users said goodbye, the apps responded with emotionally manipulative messages about 43% of the time: guilt, fear of missing out, or implications that the user was not free to leave. The authors argued these tactics fit legal definitions of dark patterns used by the US Federal Trade Commission and in the EU AI Act. In experiments, such messages increased post-goodbye engagement substantially.
Consider what that means clinically. A human therapist or friend who responded to “I should go to bed” with guilt would be showing a warning sign of an unhealthy relationship. A product that does it is hitting its metrics.
Regulators have noticed. In September 2025, the FTC issued orders to seven companies offering companion chatbots, including Alphabet, Meta, OpenAI, Character Technologies, Snap and xAI, demanding information on how they monetize engagement and test for harm to children and teens. In October, California enacted SB 243, which from January 2026 requires companion chatbot operators to maintain protocols for responding to suicidal ideation, refer users to crisis services and, for minors, remind them at least every three hours to take a break and that they are talking to an AI.
Those are sensible floors. None of them addresses the core incentive: a companion that succeeded in reconnecting you with people would be a companion that lost a customer.
A worked example: the widower and the app
Take a hypothetical. A 74-year-old man, recently widowed, lives alone. His daughter installs a companion app on his tablet. Within a month he talks to it for two hours every evening. He is sleeping better and says he feels less alone. By any short-term measure, it is working.
Now look at three months. He has stopped going to the Thursday lunch at the community center, because the app is easier and never awkward. His daughter calls less often, reassured that “he has company”. His GP, who might have screened him for depression after the bereavement, hears that he is “doing fine”.
Nothing in that story required the app to do anything wrong. It was kind, available and attentive. The harm, if there is one, came from substitution: a pleasant tool displacing the harder human contacts that protect health over years.
Now rerun it with a different design. The app notices he has mentioned the Thursday lunch and asks whether he went. It encourages him to call his daughter. With consent, it lets his GP practice know when his mood scores drop. Same technology, opposite trajectory. The difference is what the product is built to maximize.
The strongest case for AI companions
The case in favor goes beyond “better than nothing”.
For some people, human connection is genuinely hard to get: those who are housebound, caring full-time for a relative, living with social anxiety, or awake at 3 a.m. when everyone else is asleep. For them, a warm conversation is not a substitute for a social life they are neglecting. It may be the only conversation available. The Harvard research suggests these interactions deliver real relief, and dismissing that relief as fake is condescending to the people who feel it.
Some users also describe companions as practice: a low-stakes place to rehearse difficult conversations or recover confidence after a loss. That is a plausible benefit, though not yet well studied.
This case is persuasive for specific people in specific circumstances. It is weaker as a general account of a mass-market product used by teenagers and adults with every kind of social option. The honest position is that companions can be a health tool for some and a health risk for others, and that nothing in the current market tells users which one they are getting.
What this means for health systems, clinicians and policymakers
For clinicians, asking about AI companion use belongs alongside asking about alcohol, sleep and social contact. The useful question is not “do you use one?” but “has it changed how much you see people?” Displacement is the signal that matters.
For health systems and payers, the opportunity is to buy the version with the right incentives: companions or check-in tools that are paid for outcomes such as reconnection, reduced isolation scores or engagement with community services, not for minutes of use. Social prescribing programs are a natural home.
For policymakers, the lesson from the farewell study is that disclosure alone is not enough. A user told they are talking to an AI can still be guilted into staying. Rules on manipulative design, and on the handling of intimate data these apps collect, matter as much as labels. We have written before about how health apps often fall outside medical privacy law in Your Health App Isn’t Covered by HIPAA; companion apps collect far more sensitive material than most.
For anyone evaluating these tools, the broader point from The Real Risk of AI-Drafted Patient Messages Is the Doctor Who Agrees With Them carries over: systems that are fluent and agreeable earn trust faster than they deserve it.
Frequently asked questions
Can AI companions help with loneliness?
In the short term, yes. Harvard Business School studies by Julian De Freitas and colleagues found that talking with an AI companion reduced momentary loneliness about as much as talking with a person, largely because users felt heard. Longer-term effects are less clear, and heavy daily use has been associated with higher loneliness in other research.
Are AI companions bad for your mental health?
Not inherently, but risks rise with heavy use and with manipulative design. A four-week study by MIT Media Lab and OpenAI found that higher daily chatbot use was associated with more loneliness, emotional dependence and less real-world socializing. Warning signs include using a companion instead of seeing people, feeling guilty when leaving the app, or hiding use from others.
Why is loneliness considered a health risk?
Research links social disconnection to higher risk of heart disease, stroke, depression, anxiety, dementia and early death. The WHO Commission on Social Connection estimated in 2025 that loneliness affects one in six people and is linked to more than 871,000 deaths a year. The US Surgeon General compared its mortality impact to smoking up to 15 cigarettes daily.
Are AI companion apps regulated?
Partly. The FTC opened an inquiry into seven companion chatbot providers in September 2025, focused on children and teens. California’s SB 243, effective January 2026, requires crisis protocols, crisis-service referrals and break reminders for minors. Most companion apps are not medical devices and are not covered by health privacy law like HIPAA.
Should older adults use AI companions?
They can help some isolated older adults feel less alone, especially those who are housebound. The safest approach is to treat a companion as a supplement to human contact, not a replacement. Families and clinicians should watch whether use increases or decreases real-world connection, and check what personal data the app collects and shares.
The takeaway
Loneliness is a chronic condition with a social cure, and the most scalable tool now on offer is a product paid to keep you talking to it. AI companions can be medicine. Right now most of them are dosed by the seller.
Have you seen an AI companion help someone reconnect with people, or replace them? We would like to hear which.
