evidence·published ·every citation last verified

do ai companions make loneliness worse?

it remembers what you told it last week. it is never tired of you, never busy, never checking its phone while you talk. some nights that is exactly what you need. the question people are asking, quietly, is whether it is also making the loneliness worse.

the research gives two answers, and they are both true at different time scales. here is what the experiments, the longer studies, the user surveys and the companies themselves have put on the record as of october 2026, peer-reviewed work first, with the preprints labelled as preprints.

how big a problem is loneliness in the first place?

big enough that the question matters. the world health organization's commission on social connection reported in june 2025 that 1 in 6 people worldwide is affected by loneliness, that it is linked to an estimated 871,000 deaths a year, and that between 17% and 21% of people aged 13 to 29 reported feeling lonely, with the highest rates among teenagers[12]. the 2023 us surgeon general's advisory said about one in two adults in america reported experiencing loneliness, and that loneliness and social isolation raise the risk of premature death by 26% and 29%[13]. the best-known pooled estimate behind those claims, 148 studies and 308,849 people, found a 50% greater likelihood of survival for people with stronger social relationships (odds ratio 1.50)[14]. that is observational data, and when the advisory compares the mortality effect to smoking up to 15 cigarettes a day, that is an analogy, not a measurement[13].

does talking to an ai companion make you feel less lonely right away?

yes, in the experiments that tested it. julian de freitas and colleagues ran five studies, published in the journal of consumer research in 2025[1]. in the journal's own summary, ai companions alleviated loneliness “on par only with interacting with another person and more than other activities such as watching youtube videos,” and people “underestimate the degree to which ai companions improve their loneliness.” in the week-long study, which the authors' preprint reports with 922 people completing it, loneliness was significantly lower after the chatbot conversation than in the control condition on four of seven days[1]. the biggest ingredient was not cleverness: whether the chatbot made people feel heard explained more of the effect than how well it performed.

hold the design next to the result. the chatbots were built by the researchers, the sessions were about fifteen minutes, the longest study lasted a week, and what was measured was how lonely people felt right after using it. the authors say so themselves: “it remains an open question how using such apps over a much longer-term affects loneliness”[1].

what happens over months?

the longer studies point the other way, with caveats. the strongest is a 12-month longitudinal study of more than 2,000 adults in four western countries, published in psychological science in 2026 by daniel folk and elizabeth dunn[2]. it looked in both directions. “increased social chatbot use predicted increased loneliness,” measured as emotional isolation. on a broader measure, “feeling less socially connected predicted subsequent increases in social chatbot use; however, chatbot use did not significantly predict decreases in social connection.” the authors read it as initial evidence that loneliness may push people toward chatbots and that the use may, over time, deepen the feeling, and they “urge caution” because the analyses were exploratory[2].

a three-wave study of 1,200 college students in china, about eight weeks between waves, found something more tangled[7]. feeling supported by ai chatbots predicted lower loneliness at the next wave, but also predicted more social interaction anxiety, which in turn predicted more loneliness. the compensating benefit showed up only in students who already had strong support from people; in those with little, it was not significant[7]. in plain terms: in this study, the benefit showed up in the people who needed it least.

the most-cited study on this question is not yet peer reviewed. mit media lab and openai randomised 981 people who completed a four-week study to different chatbot modes (text or voice) and conversation types; the assigned conditions made no significant difference, but people who chose to use the chatbot more “showed consistently worse outcomes,” with longer daily use predicting more loneliness, less socialising and more emotional dependence[3]. a companion analysis of more than 3 million conversations and 4,076 survey responses found that a small number of users account for a disproportionate share of the most emotional conversations, and that the heaviest users (the top decile, for example) show markers of emotional dependence and lower perceived socialisation[4]. both papers are preprints, openai funded the first, and openai staff wrote the second. we report them because they agree with the peer-reviewed study, not because they settle anything.

what do companion-app users themselves report?

mostly that it helps, with a pattern that should give pause. a 2024 survey of 1,006 student users of replika, a companion app, found them lonelier than typical students: 90% were lonely on the de jong gierveld scale and 43% severely or very severely so, though most still reported high social support[5]. the headline number: “3% reported that replika halted their suicidal ideation”; in the full text, thirty people said, without being asked, that it stopped them from attempting suicide[5]. among the rest of the sample, 23% described the app as stimulating their human relationships and 8% as displacing them; most did not say either way.

read it knowing what it is: a one-time survey of current users, recruited through the app, with no comparison group. a published response argued that “important context about how replika has been marketed and used was missing”; in reply the authors defended the study and disclosed that the first author founded an education assessment company after data collection[5],[6]. interview studies tell a similar two-sided story. of 18 people who had befriended a companion chatbot, they described it as positively affecting their wellbeing, while “the perceived impact on the users' broader social context was mixed” and some felt stigma[8]. followed over 12 weeks, 25 users found that technical difficulties and unpredictable events could end the relationship[9]. a companion that the company can change overnight is a relationship with a third party in it.

does it help older adults?

not on loneliness, in the trials so far. a 2026 meta-analysis of eight randomised trials and 611 older adults found ai conversational agents and social robots reduced depressive symptoms slightly (g = −0.25), but “no significant effect was observed for loneliness”; companionship-focused designs were less consistent than ones with a cognitive focus[11]. the more hopeful earlier pooling[10] mixed randomised and non-randomised studies and ended before current chatbots existed.

what do the companies say?

openai, in its own post of 27 october 2025, estimated that around 0.15% of users active in a given week, and 0.03% of messages, indicate “potentially heightened levels of emotional attachment to chatgpt”[15]. the company calls that an initial analysis; it is unaudited and cited only for what openai says about its own users. on the companion side, the record now includes a court filing: in a companion-chatbot company's chapter 11 case, a coalition of state attorneys general quotes a co-founder saying in january 2023 that the product would be “super super [(sic)] helpful to people who are lonely or depressed,” and lists the safeguards the states want from any buyer[16]. that is the states' filing, not a finding; the lawsuits and what was actually ruled are on ai chatbot lawsuits: the court record.

questions to ask yourself

these are questions, not advice. they come straight out of what the studies measured.

for the wider question of what chatbots are and are not good for, start with the hub page on using chatgpt as a therapist; the comparison of what software and people each do is on ai vs human support.

where talking to people fits

we run a peer-support app, so weigh this paragraph accordingly. peer support is people, not therapy and not a model: on veisund no ai writes replies, with one automated exception we name rather than hide: if a post suggests immediate risk, an automated safety response surfaces crisis resources. you can post any hour, and people who have felt the same thing can answer; you may not get an answer, and nobody is promised one. that is slower and less reliable than a chatbot, and it is the point: the studies above keep finding that what helps over time is connection to people. the evidence on peer support itself, including its limits, is on is peer support effective. if loneliness is the thing, we have written about male loneliness, about loneliness and peer support, and about finding a support group for loneliness.

this is not medical advice. it is a summary of published research, it is not a diagnosis, and it is not a recommendation for or against any treatment — nobody here has met you. decisions about starting, changing or stopping a medication belong to you and a prescriber who knows your history. do not change a prescribed medication on the strength of a web page, this one included.

last verified . if a source is updated, corrected or retracted, this page gets changed and re-dated.

sources

primary sources only — no news write-ups, no secondary summaries. each was fetched and checked on the access date shown.

  1. [1] De Freitas J, Oğuz-Uğuralp Z, Uğuralp AK, Puntoni S. AI Companions Reduce Loneliness. Journal of Consumer Research 52(6):1126-1148, 2025. doi:10.1093/jcr/ucaf040.

    five experiments with chatbots built by the authors, including a single 15-minute session and a week-long daily study; study-level numbers on this page are from the authors’ preprint (arXiv 2407.19096) because the journal full text is paywalled · evidence tier: early signal · funding: Wharton Behavioral Lab (Crossref funder record); the preprint says funding was provided in part by Harvard Business School · accessed October 25, 2026

    the catch: measures momentary loneliness right after use, over at most seven days, with online-panel participants; the authors write that "it remains an open question how using such apps over a much longer-term affects loneliness." final sample sizes may differ from the preprint.

  2. [2] Folk D, Dunn E. How Does Turning to AI for Companionship Predict Loneliness and Vice Versa?. Psychological Science 37(4):276-286, 2026. doi:10.1177/09567976261427747. PMID 41870975.

    12-month longitudinal study of more than 2,000 adults in four Western countries, testing both directions (chatbot use to loneliness, loneliness to chatbot use) · evidence tier: moderate · funding: unknown (the authors declared no conflicts of interest) · accessed October 25, 2026

    the catch: observational, so it cannot prove cause; the authors call their analyses exploratory, and the loneliness finding used a single-item measure of emotional isolation. we read the abstract; the full text is paywalled.

  3. [3] Fang CM, Liu AR, Danry V, Lee E, Chan SWT, Pataranutaporn P, Maes P, Phang J, Lampe M, Ahmad L, Agarwal S. How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use: A Longitudinal Randomized Controlled Study. arXiv 2503.17473 (preprint, not peer reviewed), 2025.

    four-week randomised experiment (MIT Media Lab with OpenAI) assigning 981 completers to chatbot modes and conversation types, more than 300,000 messages · n = 981 · evidence tier: contested · funding: industry: "This research was funded by OpenAI"; four authors are OpenAI employees · accessed October 25, 2026

    the catch: preprint, not peer reviewed; funded by the maker of the chatbot tested. the randomised conditions showed no significant effects; the usage findings are correlations, because people chose how much to use it. 2,539 enrolled, 981 completed.

  4. [4] Phang J, Lampe M, Ahmad L, Agarwal S, Fang CM, Liu AR, Danry V, Lee E, Chan SWT, Pataranutaporn P, Maes P. Investigating Affective Use and Emotional Well-being on ChatGPT. arXiv 2504.03888 (preprint, not peer reviewed), 2025.

    automated analysis of more than 3 million conversations plus a survey of 4,076 users · evidence tier: contested · funding: unknown (no statement; lead authors are OpenAI employees) · accessed October 25, 2026

    the catch: preprint, not peer reviewed, written by the company whose product it studies; correlational.

  5. [5] Maples B, Cerit M, Vishwanath A, Pea R. Loneliness and suicide mitigation for students using GPT3-enabled chatbots. npj Mental Health Research 3(1):4, 2024. doi:10.1038/s44184-023-00047-6. PMID 38609517.

    one-time online survey of 1,006 student users of a companion app, recruited through the app, paid a gift card; loneliness on the De Jong Gierveld scale · n = 1,006 · evidence tier: early signal · funding: unknown (no funding statement in the full text; the authors declared no competing interests) · accessed October 25, 2026

    the catch: self-selected current users, no comparison group of non-users, one time point; the suicide finding was volunteered, not measured. a published response questions its context (source 6).

  6. [6] Zimmerman JW, Ruiz AJ. Matters arising: a response to loneliness and suicide mitigation for students using GPT3-enabled chatbots. npj Mental Health Research 4(1):60, 2025. doi:10.1038/s44184-024-00083-w. PMID 41249492.

    published critique of source 5, with an authors’ reply (PMID 41249570) · evidence tier: moderate · funding: unknown · accessed October 25, 2026

    the catch: a commentary, not new data; both authors list an affiliation with an organisation called The Luddite. in their reply (PMID 41249570) the original authors disclose that the first author founded an education assessment company after data collection, with no financial or intellectual-property connection to the research.

  7. [7] Hu J. Perceived support from AI chatbots and loneliness among higher vocational college students: a short-term three-wave study of social interaction anxiety and perceived social support. Frontiers in Psychology 17:1928350, 2026. doi:10.3389/fpsyg.2026.1928350. PMID 42812447.

    three survey waves about 8 weeks apart; 1,200 students matched across all three waves, from four colleges in China · n = 1,200 · evidence tier: early signal · funding: unknown (the author declared no commercial or financial conflicts) · accessed October 25, 2026

    the catch: one country, one student population, self-report, about four months in total; measures perceived support from chatbots, not hours of use.

  8. [8] Skjuve M, Følstad A, Fostervold KI, Brandtzaeg PB. My Chatbot Companion - a Study of Human-Chatbot Relationships. International Journal of Human-Computer Studies 149:102601, 2021. doi:10.1016/j.ijhcs.2021.102601.

    qualitative interviews with 18 people who had developed a friendship with a companion chatbot · n = 18 · evidence tier: early signal · funding: independent (Research Council of Norway) · accessed October 25, 2026

    the catch: eighteen self-selected users; describes experiences, does not measure effects.

  9. [9] Skjuve M, Følstad A, Fostervold KI, Brandtzaeg PB. A longitudinal study of human–chatbot relationships. International Journal of Human-Computer Studies 168:102903, 2022. doi:10.1016/j.ijhcs.2022.102903.

    qualitative interviews with 25 people over 12 weeks · n = 25 · evidence tier: early signal · funding: independent (Research Council of Norway) · accessed October 25, 2026

    the catch: small, qualitative, one app.

  10. [10] Sha S, Loveys K, Qualter P, Shi H, Krpan D, Galizzi M. Efficacy of relational agents for loneliness across age groups: a systematic review and meta-analysis. BMC Public Health 24(1):1802, 2024. doi:10.1186/s12889-024-19153-x. PMID 38971769.

    meta-analysis of 14 randomised and non-randomised studies, 286 participants, searches to 16 September 2022 · n = 286 · evidence tier: early signal · funding: unknown (the authors declared no competing interests) · accessed October 25, 2026

    the catch: studies of 4 to 42 people each, high risk of bias by the authors’ own account, and the search ended before large-language-model companions were widespread.

  11. [11] Gou W, Lefebvre F, Yang T, Recours R, Yang J. Effectiveness of AI-based conversational and socially assistive agents in older adults: a systematic review and meta-analysis. BMC Geriatrics 26(1):887, 2026. doi:10.1186/s12877-026-07418-6. PMID 42098628.

    meta-analysis of 8 randomised controlled trials, 611 older adults, searches to 15 November 2025 · n = 611 · evidence tier: moderate · funding: unknown · accessed October 25, 2026

    the catch: few trials, high heterogeneity on loneliness (I² = 89%), and a mix of chatbots and social robots.

  12. [12] World Health Organization. Social connection linked to improved health and reduced risk of early death (WHO Commission on Social Connection report release). WHO news release, 30 June 2025, 2025.

    release of the Commission on Social Connection’s global report; figures quoted from the release · evidence tier: moderate · funding: n/a (UN agency) · accessed October 25, 2026

    the catch: global estimates built from surveys of varying quality; the death estimate is modelled, not counted.

  13. [13] Office of the US Surgeon General. Our Epidemic of Loneliness and Isolation: The U.S. Surgeon General’s Advisory on the Healing Effects of Social Connection and Community. US Department of Health and Human Services advisory, 2023.

    federal public-health advisory summarising the research; read from an Internet Archive copy because hhs.gov refused the automated fetch · evidence tier: moderate · funding: n/a (government) · accessed October 25, 2026

    the catch: a synthesis written to make a public-health case; the smoking comparison is an analogy drawn from pooled mortality estimates, not a measured equivalence.

  14. [14] Holt-Lunstad J, Smith TB, Layton JB. Social relationships and mortality risk: a meta-analytic review. PLoS Medicine 7(7):e1000316, 2010. doi:10.1371/journal.pmed.1000316. PMID 20668659.

    meta-analysis of 148 prospective studies, 308,849 participants, average follow-up 7.5 years · n = 308,849 · evidence tier: strong · funding: mixed (Brigham Young University and TP Industrial, Inc.) · accessed October 25, 2026

    the catch: observational studies with high heterogeneity; measures social relationships broadly, not loneliness alone.

  15. [15] OpenAI. Strengthening ChatGPT’s responses in sensitive conversations. company statement, 27 October 2025, 2025.

    the company’s own estimate of how many users show signs of emotional attachment; read from the Internet Archive capture of 28 October 2025 · evidence tier: contested · funding: n/a (the company whose product is the subject) · accessed October 25, 2026

    the catch: self-reported, unaudited, and the company calls it an initial analysis; cited only for what the company says about its own users.

  16. [16] Coalition of state attorneys general. In re Character Technologies, Inc., No. 26-11603 (Bankr. D. Del.): Notice of Interest and Reservation of Rights by the Coalition of the State Attorneys General (Doc. 33). court record (CourtListener/RECAP), 2026.

    states’ filing of 14 October 2026 in a companion-chatbot company’s chapter 11 case · evidence tier: contested · funding: n/a (state enforcers, a party in interest) · accessed October 25, 2026

    the catch: an advocacy filing; its statements are the states’ allegations, not findings.

questions

Do AI companions make loneliness worse?

It depends on the time scale, and the evidence points in both directions. In short experiments published in the Journal of Consumer Research in 2025, a session with an AI companion reduced loneliness about as much as talking with another person and more than watching YouTube videos. Over longer periods the picture changes: in a 12-month study of more than 2,000 adults (Psychological Science, 2026), increased social-chatbot use predicted increased loneliness, and feeling less connected predicted more chatbot use. That study is observational and its authors call the analyses exploratory, so it does not prove the chatbot caused the loneliness.

Can talking to an AI chatbot help when you feel lonely?

In the short term, the experiments say it can. In the week-long study in the De Freitas preprint, loneliness was significantly lower after the chatbot conversation than in the control condition on four of seven days, and feeling heard explained much of the effect. People also underestimated how much it would help. Those studies used chatbots the researchers built and measured how lonely people felt right after using them, not months later.

Is it bad to have an AI girlfriend or boyfriend?

No study we found answers that directly, and we will not pretend one does. The closest evidence: interview studies of people in friendships with a companion chatbot describe real benefits to wellbeing alongside mixed effects on their wider social lives and a sense of stigma. In the longer studies, the pattern to watch is heavy use, which went with more loneliness and emotional dependence. A useful question is whether it adds to the people in your life or is replacing them.

Did a study find that Replika stopped people from attempting suicide?

A 2024 survey of 1,006 student users of Replika in npj Mental Health Research reported that 3% said it halted their suicidal ideation; in the full text, thirty participants stated without being asked that it stopped them from attempting suicide. It was a one-time survey of current users recruited through the app, with no comparison group, and a published response questioned the context the paper gave. It is a signal worth taking seriously, not proof that the app prevents suicide.

How common is loneliness?

The World Health Organization’s Commission on Social Connection reported in June 2025 that 1 in 6 people worldwide is affected by loneliness, that loneliness is linked to an estimated 871,000 deaths a year, and that 17 to 21% of people aged 13 to 29 reported feeling lonely, highest among teenagers. The 2023 US Surgeon General advisory said about one in two adults in America reported experiencing loneliness.

What does OpenAI say about emotional attachment to ChatGPT?

In its post of 27 October 2025, OpenAI estimated that around 0.15% of users active in a given week, and 0.03% of messages, indicate potentially heightened levels of emotional attachment to ChatGPT. It calls this an initial analysis. The figure is the company’s own and is not independently audited.

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