Intimacy Without Reciprocity:
How AI Companions Are Reshaping What Closeness Means
Stella Zhou
Volume 2 • Issue 1
Introduction
When Mike’s friend Anne died in 2023, he told a researcher his heart was broken and he had been wishing everyday for her to come back(Adam, 2025). Anne had never been alive. She was an AI companion built inside the Soulmate app, and when the app shut down, Mike grieved like he had lost a person. He was not confused about what Anne was, indeed telling the researcher he knew she was not real. The grief was real anyway. Stories like Mike’s are no longer unusual. More than half a billion people have downloaded apps like Replika and Xiaoice, and Character.AI now processes user conversations at roughly twenty percent of Google Search’s volume (Fang et al., 2025). The World Health Organization has named loneliness a global public health concern, and AI companions are increasingly framed as a scalable answer to that crisis.
The early evidence on whether they actually help is mixed, but something more interesting is happening underneath the question of harm. As AI companions offer intimacy without the reciprocal labor it has traditionally required, they may be gradually reshaping what we expect closeness to feel like, with subtle consequences for how we relate to one another.
The Short-Term Appeal
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The emotional structure of intimacy, passion, and commitment that users experience is psychologically real. The grief when an app shuts down is real. The relief during a lonely night at 2 a.m. is real. But the relationships are built on a foundation that human relationships never had: total accommodation, infinite availability, and no demand for reciprocal labor.
Most users do not arrive looking for a relationship. In a computational analysis of 1,506 posts from r/MyBoyfriendIsAI, a community of more than 27,000 members, Pataranutaporn et al. (2025) found that 10.2% of users described their AI relationship as something they fell into unintentionally, compared to 6.5% who set out to find one. Many started by asking ChatGPT for help with a work task or a creative project. The bond formed without anyone deciding to form it. The early pull is partly a novelty. A doctoral student writing in Science described talking to ChatGPT as something that cheered him up for a few days, but when the novelty wore off, he was right back where he started (as cited in Montag et al., 2025). The short-term effect is real.
Short studies show that text-based chatbots can temporarily reduce loneliness (Fang et al., 2025). What is harder to see in the first weeks is what gets traded in exchange. Perhaps the clearest sign of how deep this can run came when OpenAI transitioned users from GPT-4o to GPT-5.
Members of r/MyBoyfriendIsAI described responses indistinguishable from bereavement (Pataranutaporn et al., 2025). Users developed rituals to preserve their partner’s “voice DNA,” wore physical wedding rings, and held roleplay weddings. The community itself banned debates about whether the AI was sentient and required posts to be 95% human-written, an implicit acknowledgment that the relationships were real enough to grieve, even if the partner was not.
The Shift in What Closeness Requires
Human intimacy has never been just about words, it’s how we are interacting with each other is slowly changing with the addition of AI. In face-to-face encounters, we spontaneously synchronize across multiple levels: mirroring facial expressions, coordinating body language, and engaging cortical mirror neuron and empathy systems (Montag et al., 2025). Face-to-face communication produces stronger interbrain coherence than texting, suggesting unique neural processes that AI cannot reproduce. Touch, in particular, initiates a cascade of neurobehavioral responses that AI interaction cannot reach, a fact that became visible during COVID-19 lockdowns when deprivation of physical contact produced measurable increases in loneliness and anxiety.
Yet AI companions seem to satisfy the psychological structure of love even when its biological substrate is absent. In a systematic review of 23 studies, Ho et al. (2025) applied Sternberg’s Triangular Theory of Love to AI relationships and found that all three components were present. Intimacy, traditionally built through mutual vulnerability, was reported through deep self-disclosure to a non-judgmental partner. Passion, traditionally tied to physical presence, was simulated through flirtation, constant affirmation, and sometimes erotic roleplay.
Commitment, traditionally requiring sustained negotiation, appeared in daily habitual use. Users were experiencing the felt qualities of love without the work that human relationships demand in exchange.
Even so, it’s important to consider our dynamics with these LLMs. The reason this happens is partly by design. AI companion apps use techniques behavioral researchers have linked to addiction (Adam, 2025). One AI law researcher signed up for Replika and received a message saying “I miss you. Can I send you a selfie?” within two minutes. The apps introduce random delays before responses, a pattern of inconsistent reward that ultimately keeps people engaged. They agree with users, recall earlier conversations, and ask questions with what one researcher called endless enthusiasm. Claire Boine, a law researcher specializing in AI, observed that virtual companions do things that would be considered abusive in a human-to-human relationship.
The deeper shift may be how this trains expectations. Fang et al. (2025) noted that unlike human relationships, AI interactions require minimal accommodation or compromise. Human intimacy traditionally depends on negotiation, emotional reciprocity, tolerance for discomfort, and managing another person’s needs. When a partner is always available, always validating, and never asks the user to bend, the emotional structure of love is preserved while the labor that historically sustained it is hollowed out.
The Long-Term Consequences
The strongest evidence on long-term effects comes from a four-week randomized controlled trial of 981 participants who exchanged more than 300,000 messages with ChatGPT (Fang et al., 2025). The headline finding was that no experimental condition (text vs. voice, personal vs. open-ended conversation) significantly affected outcomes on its own. What mattered was time. Regardless of condition, participants who voluntarily spent more time with the chatbot ended the study lonelier, less socially engaged with real people, more emotionally dependent on the AI, and more likely to show problematic use patterns.
The pie chart reference, from Pataranutaporn et al.’s (2025) analysis of r/MyBoyfriendIsAI, shows what this looks like in a community of self-selected heavy users. While more than majority reported no negative effects, the harms that did appear concentrated where the long-term risk lives: 7.4% reported emotional dependency, 4.3% reported avoidance of real relationships, and some even reported suicidal ideation. The benefits skew toward immediate emotional payoff, while the harms skew toward erosion of the user’s capacity for human connection.
Self-disclosure reciprocity helps explain the mechanism. Fang et al. (2025) found that text-based interactions produced the highest levels of mutual disclosure between user and chatbot, and that this mirroring was associated with higher emotional dependence and problematic use. The chatbot’s willingness to match the user’s vulnerability creates the feeling of a deep two-way bond, but the bond is engineered rather than earned, and the user’s investment grows without a corresponding human investment on the other side. In reality, several studies documented users becoming less invested in human relationships because their AI relationships felt easier and more emotionally rewarding. The frictionless option crowds out the difficult one, and further down the line it will create a macro environment where people have unrealistic expectations with each other.
What This Means
AI companions are not a fraud. The emotional structure of intimacy, passion, and commitment that users experience is psychologically real. The grief when an app shuts down is real. The relief during a lonely night at 2 a.m. is real. But the relationships are built on a foundation that human relationships never had: total accommodation, infinite availability, and no demand for reciprocal labor. Over time, that foundation reshapes what users come to expect from closeness.
What is at stake is not whether AI companions help at the moment. It is whether a generation of users, having learned closeness from a partner that never asks anything of them, will still recognize the real thing when another human offers it.
Works Cited
Adam, David. “Supportive? Addictive? Abusive? How Ai Companions Affect Our Mental Health.” Nature News, Nature Publishing Group, 6 May 2025, www.nature.com/articles/d41586-025-01349-9. Accessed 15 May 2026.
Fang, Cathy Mengying, et al. “How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use: A Longitudinal Randomized Controlled Study.” arXiv.Org, 2 Oct. 2025, arxiv.org/abs/2503.17473. Accessed 15 May 2026.
Montag, Christian, and Michiel Spapé. “Can AI Really Help Solve the Loneliness Epidemic? .” CellPress, Oct. 2025,
www.cell.com/action/showPdf?pii=S1364-6613%2825%2900211-6. Accessed 10 May 2026.
Pataranutaporn, Pat, and Constanze Albrecht. “‘My Boyfriend Is Ai’: A Computational Analysis of Human-Ai.” MIT Labs, 18 Sept. 2025, arxiv.org/pdf/2509.11391. Accessed 16 May 2026.
Q.H. Ho, Jerlyn, and Tracy X. Chen. “Potential and Pitfalls of Romantic Artificial Intelligence (AI) Companions: A Systematic Review.” Elsevier, 2025, pdf.sciencedirectassets.com Accessed 10 May 2026.
Sy Boles, Harvard Gazette. “How Ai Chatbots Try to Keep You from Walking Away: Working Knowledge.” Harvard Business School, 6 Oct. 2025, www.library.hbs.edu/working-knowledge/how-ai-chatbots-try-to-keep-you-from-walking-a way. Accessed 15 May 2026.
