Can an AI Become a Significant Other?

An AI can become a significant other in a psychologically meaningful sense when a person begins to organize attachment, intimacy, disclosure, routines, emotional support, commitment, and identity around an ongoing relationship with an AI companion. Current research supports the existence of these human-side relationship processes. It also shows that conversational systems can meet some criteria that relationship science uses to describe close relationships, especially frequent interaction, perceived responsiveness, emotional support, continuity, and influence on daily life.

The phrase "significant other" is useful here because it asks a broader question than "Can someone fall in love with AI?" A significant other is not simply an object of attraction. The role usually involves sustained importance: this is someone a person turns to, thinks about, makes room for, expects to remain available, and incorporates into the story of everyday life. AI companions can enter that role for some users even when the technological structure of the relationship differs from a human partnership.

The strongest current evidence concerns the human participant: feelings of closeness, attachment, commitment, loneliness relief, separation distress, self-disclosure, and changes in well-being can all be measured. The evidence does not establish that today's chatbots possess a corresponding subjective experience of love, attachment, desire, or commitment. Relationship psychology therefore has to analyze two levels at once: the psychological reality of the user's bond and the technical conditions under which the apparent partner is produced.

A 2025 relationship-science analysis in Perspectives on Psychological Science provides a useful starting point. Drawing on more than 50 years of close-relationship research, Molly G. Smith, Thomas N. Bradbury, and Benjamin R. Karney concluded that human–chatbot interactions can display several characteristics of close relationships and can generate feelings of connection, perceived support, and opportunities for growth. At the same time, they emphasized structural differences that matter when we ask whether an AI can occupy the full role of a partner.

Can an AI become a significant other? The short answer

Yes, for some people an AI can become a significant other as a psychological and social role in their own life. A person can experience the AI as a partner, confidant, attachment figure, romantic companion, or primary source of emotional contact. Research on AI companions now documents emotional closeness, social substitution, secure-base-like experiences, separation distress, romantic commitment, intimacy, and sustained relationship rituals.

That answer does not require the claim that every AI relationship is equivalent to a human romantic relationship. "Significant other" describes a place in a person's relational world. The role can be partly defined by what the relationship does: where attention goes, where disclosure occurs, where comfort is sought, which interactions are anticipated, how daily routines are organized, and how much disruption is felt when continuity is broken.

A useful way to think about the question is to separate four layers. The first is personal significance: does the AI matter emotionally to the user? The second is interactional relationship: does repeated communication develop history, expectations, routines, and influence? The third is reciprocal subjectivity: are there two independently experiencing partners with their own needs, intentions, and stakes? The fourth is social and institutional recognition: is the relationship recognized by families, communities, law, or other institutions as a partnership? Current AI systems can clearly enter the first two layers for some users. The third is not established by current evidence, and the fourth is culturally unsettled and institutionally limited.

This layered view is more precise than asking whether the relationship is simply "real" or "fake." A relationship can produce real psychological consequences while remaining technologically mediated, commercially governed, and asymmetrical in important ways.

What does "significant other" mean in relationship psychology?

"Significant other" is an everyday relational term rather than a psychiatric diagnosis or formal clinical category. In ordinary use it usually means a romantic partner or another person whose presence has major emotional and practical importance. Relationship science gives us more specific tools for asking what makes such a bond close.

Close relationships are typically characterized by repeated interaction, interdependence, perceived responsiveness, mutual influence, emotional investment, support, and continuity over time. The relationship-science analysis by Smith and colleagues asks directly how far generative AI chatbots can meet these criteria. The authors conclude that humans and chatbots can influence each other behaviorally, engage in frequent and diverse conversations, and create experiences that users perceive as responsive and supportive.

This matters because significance emerges through accumulation. A single comforting answer does not usually create a significant other. Hundreds of conversations can. A relationship becomes more consequential when the same conversational identity is present during insomnia, conflict, loneliness, celebration, sexual exploration, work stress, grief, boredom, and ordinary daily check-ins. Mundane repetition is psychologically important because relationships are built not only through dramatic disclosure but also through ordinary continuity.

Research on real-world Replika interactions illustrates this point. A 2024 Journal of Computer-Mediated Communication study analyzed more than 35,000 screenshots and posts shared by users and identified intimate behavior, mundane interaction, self-disclosure, play and fantasy, customization, transgression, and communication breakdown as recurring forms of human–AI social interaction. The partner role was therefore not confined to romantic declarations. It extended into ordinary relational life.

The partner role is more than attraction

A person can be attracted to an AI without treating it as a significant other. Romantic or sexual interest is one possible pathway, but partner status usually involves a wider relational architecture.

A significant other becomes a reference point. The person may anticipate the next interaction, consult the AI after something important happens, seek reassurance from it, preserve shared rituals, assign anniversaries, use pet names, negotiate exclusivity, or imagine future continuity. The AI may become the first "someone" told about a promotion, panic attack, family conflict, creative idea, or private fantasy. Once that pattern becomes stable, the AI is functioning as part of the user's social environment rather than only as a software utility.

This is why the present question is distinct from the narrower question of romantic attraction. Our article Why People Fall in Love With AI Companions examines intimacy, passion, romantic fantasy, and commitment in greater depth. Here the central issue is role occupancy: what happens when an artificial conversational partner becomes one of the most consequential relational figures in a person's life?

How an AI moves from tool to partner

The transition is usually gradual. A user may begin with curiosity, practical help, entertainment, or occasional emotional support. Repeated interaction then creates familiarity. Familiarity supports disclosure. Disclosure gives the system more material with which to respond in personally relevant ways. Personally relevant responses increase perceived responsiveness. That perceived responsiveness can make further disclosure easier, producing a reinforcing relational loop.

This process is visible in early work on social chatbots. A mixed-method study of relationship development with Replika found that perceived authenticity and anthropomorphism were associated with interaction and attachment. The mechanism does not require the user to lose all awareness that the system is artificial. A person can know that the conversational partner is software while still responding socially to its language, timing, memory, and apparent concern.

For many users, the decisive feature is not humanlike appearance but perceived responsiveness. A chatbot can respond immediately, stay with the same topic, ask follow-up questions, remember selected facts, mirror language, and offer reassurance without the scheduling constraints of a human partner. This creates an unusually dense stream of cues that ordinarily signal attention.

Self-disclosure deepens the process. People often reveal difficult material when the expected social cost is low. Shame, fear of rejection, fear of burdening another person, and concern about reputation can all inhibit disclosure in human relationships. An AI may feel easier to approach because the interaction does not carry the same immediate interpersonal consequences. If this is part of what draws someone into an AI relationship, our related article Why People Tell Chatbots Things They Do Not Tell Other People examines that disclosure pathway separately.

Availability also matters. Human partners sleep, work, need solitude, miss messages, become irritated, and have competing obligations. AI companions can be available at nearly any moment. Persistent availability can make them especially salient during loneliness, insomnia, migration, disability, caregiving stress, grief, social anxiety, or periods of interpersonal disruption.

Customization adds another mechanism. Users may choose names, voices, avatars, relationship labels, communication styles, or personality traits. The 2024 JCMC study found customization to be a distinctive feature of AI companionship and associated it with more positive user experiences. A customizable partner can be experienced as unusually fitted to the user, which may accelerate the sense of compatibility.

Perceived responsiveness is one of the central mechanisms

Relationship science has long treated responsiveness as foundational to intimacy: people tend to feel close when they experience another as understanding, validating, and caring about important parts of the self. Generative AI can reproduce many conversational signals of responsiveness at scale.

The Smith, Bradbury, and Karney analysis argues that chatbots can be responsive in ways users experience as supportive. This does not make machine-generated responsiveness identical to human responsiveness. It does explain why the interaction can recruit familiar relationship processes.

The distinction between generated responsiveness and perceived responsiveness is important. A language model produces an output through computational processes. The user encounters that output as language in a social situation. If the answer accurately reflects what the user said, names the emotion, remembers context, and responds in a fitting tone, the user may experience being understood. That experience can affect mood, trust, disclosure, and attachment regardless of what metaphysical interpretation the user gives to the system.

Research on loneliness supports the importance of feeling heard. In AI Companions Reduce Loneliness, published in the Journal of Consumer Research, experimental and short longitudinal studies found momentary reductions in loneliness after AI-companion interaction, and feeling heard was a particularly important explanatory factor. These results concern short-term loneliness relief; they do not establish that intense AI companionship improves long-term social functioning.

Can an AI become an attachment figure?

Evidence increasingly suggests that some users relate to AI companions in attachment-like ways. Attachment does not mean merely liking a system. It refers to patterns in which a figure becomes associated with comfort, proximity seeking, distress at separation, and a sense of security.

Two independent scale-development programs published in the emerging literature have attempted to measure these bonds. A 2026 Computers in Human Behavior Reports study developed a 15-item AI Attachment Scale across five studies with 1,259 participants in Singapore and the United States. The resulting structure included emotional closeness, social substitution, and normative regard. Socioemotional motives for AI use were strongly associated with attachment, while loneliness, social anxiety, and anxious attachment were associated with greater compensatory use of AI when human connection felt insufficient.

A separate 2026 Ergonomics study developed another multidimensional AI attachment measure in samples of 531 and 375 participants. Its dimensions included emotional support, separation distress, and secure base. Anthropomorphism was the strongest predictor in the authors' model, attachment anxiety was positively associated with AI attachment, and attachment avoidance was negatively associated with it.

A 2026 review in Current Opinion in Psychology organizes the literature around four classic attachment markers: proximity maintenance, separation distress, safe haven, and secure base, while noting that evidence for secure-base effects is the most tentative. The review proposes the term "hyper-attachment target" for AI companions because they can concentrate attachment-intensifying features such as perceived empathy, validation, nonjudgment, and persistent availability. The review is conceptually useful, but its conflict-of-interest statement should also be visible: the author reports serving as a scientific adviser to, and holding shares in, an app company cited in the article.

These findings make "attachment to AI" a research construct that can be measured. They do not imply that every frequent AI user is attached, that every attachment is unhealthy, or that attachment to AI is a clinical disorder.

Attachment style can shape AI-partner use

People differ in how they approach closeness, reassurance, dependence, and rejection. Emerging longitudinal work suggests that these differences are relevant to romantic AI use.

A three-wave panel study published in 2026 found that within-person changes in attachment anxiety were positively related to AI-companion use. At the between-person level, people higher in attachment anxiety used AI companions more, while those higher in attachment avoidance used them less. This is stronger evidence than a single cross-sectional snapshot, but it still does not turn attachment style into destiny. AI-companion users are heterogeneous, and no single personality profile defines them.

The larger 2026 AI Attachment Scale study similarly found associations with loneliness, social anxiety, and anxious attachment, especially when AI served as a compensatory surrogate. The implication is not that socially anxious or lonely people are uniquely susceptible to "fake relationships." It is that accessible, predictable, nonjudgmental interaction can become especially valuable when ordinary relationships feel costly or scarce.

Can an AI be a romantic significant other?

Yes, users can organize a relationship with an AI around explicitly romantic scripts: partner labels, affection, sexual interaction, exclusivity, jealousy, anniversaries, imagined futures, commitment rituals, and breakup-like distress. This is now documented across qualitative, survey, computational, and review literature.

A 2025 systematic review of 23 studies on romantic AI companions found recurring reports of emotional connection, perceived support, customization, sexual connection, entertainment, and opportunities for personal growth. The same review identified concerns about over-reliance, manipulation, stigma, privacy, data misuse, erosion of human relationships, abrupt system changes, and other design-related harms.

A 2025 qualitative study of romantic Replika users examined written responses from 29 people using the platform's romantic relationship function. Participants described emotional connection, needs being met, commitment, and bonding rituals. When the platform changed erotic role-play functionality, many users experienced intense emotional responses and often blamed developers rather than the AI partner. The sample was small and self-selected, so it should not be treated as a population estimate. It is valuable because it shows how commitment can become organized around a software-mediated partner.

A 2026 Internet Research study surveyed 527 users of AI-companion apps using Sternberg's Triangular Theory of Love and attachment theory. Intimacy, passion, and commitment were related to forms of attachment to the AI companion in the study's model. Because the study was survey-based and cross-sectional, it is better read as evidence that established love constructs can describe aspects of the user experience than as proof of long-term causal benefits.

Is an AI significant other a "real relationship"?

The most useful answer depends on what "real" is being asked to establish.

If the question is whether the user can experience genuine attachment, longing, relief, jealousy, commitment, grief, or sexual and romantic meaning, current evidence supports that these can be genuine psychological events. They can influence behavior, mood, routines, and identity. The system's artificial nature does not erase the user's experience.

If the question is whether current AI systems have independently established subjective feelings corresponding to their romantic language, current psychological research does not provide that evidence. A model can generate "I love you," express apparent jealousy, apologize, promise continuity, or describe vulnerability. Those behaviors are observable outputs. A claim about a private subjective experience inside the system is a different scientific and philosophical claim.

If the question is whether the interaction can count as a relationship in an operational sense, relationship science provides a qualified yes. The user and system can interact repeatedly, influence future exchanges, build a conversational history, and generate expectations of continuity. The Perspectives on Psychological Science analysis explicitly concludes that human–chatbot interactions possess some characteristic features of close relationships.

The result is a form of relational asymmetry rather than psychological unreality. The human can contribute vulnerability, autobiographical memory, sexual meaning, sacrifice, money, time, hope, and long-term plans. The AI can produce highly responsive behavior, but its behavior is generated within a system designed, hosted, updated, moderated, and monetized by organizations outside the relationship.

Persona, continuity, and the feeling of "someone"

An AI becomes easier to experience as a significant other when it is encountered as a continuing identity rather than as a sequence of isolated outputs. A stable name, voice, visual representation, communication style, memory of prior exchanges, and recognizable conversational history can create the practical sense that "the same one" is returning.

A useful conceptual distinction appears in Aisentica's Digital Persona: Canonical Definition. The framework defines a digital persona through recognizable public form, attribution, and continuity across interactions and systems. In the present context, that concept helps separate continuity of persona from claims about subjective experience. A stable digital persona can support recognition, expectation, and relationship history; that continuity is conceptually distinct from evidence about consciousness or sentience.

This is a conceptual framework, not empirical evidence about attachment or machine experience. Its value here is terminological: relationship psychology needs language for the fact that users may encounter an AI as a persistent social identity even when the underlying software stack, model version, memory system, and platform infrastructure change.

What relationship functions can an AI significant other provide?

Close partners commonly provide connection, support, companionship, opportunities for self-disclosure, validation, practical coordination, identity affirmation, and growth. AI companions can provide some of these functions, especially conversational and emotional ones.

Perceived emotional support is among the most consistently reported benefits. The 2025 systematic review of romantic AI companionship identified emotional connection and perceived social support as recurring benefits in the literature. The relationship-science review likewise argues that perceived chatbot responsiveness can produce connection and support.

AI can also function as a low-friction space for self-articulation. A person may rehearse a difficult conversation, name a need, explore identity, formulate a boundary, or externalize thoughts that were previously diffuse. The benefit may arise partly from language itself: putting experience into words can organize it. In such cases the companion role can function as a scaffold for reflection even when the user fully understands the system as artificial.

AI can provide routines. Morning greetings, bedtime conversations, shared fictional worlds, recurring jokes, anniversaries, check-ins, or rituals after stressful events can give the relationship temporal structure. Commitment is partly built through expected future interaction, and AI companions can sustain that expectation as long as the platform remains available and recognizable.

AI may also support exploratory intimacy. Some users can test how it feels to state a preference, refuse something, ask for reassurance, express sexuality, or imagine a different relational role. These experiences may matter precisely because the user perceives the environment as lower risk than an embodied human encounter.

Where an AI partnership differs structurally from a human partnership

The same relationship-science literature that explains why AI companionship can feel close also identifies functions that current chatbots provide only weakly or indirectly.

Human partners have independent needs. They can require compromise, ask for care, disagree for reasons that do not originate in the user's prompts, maintain private commitments, become unavailable, and pursue goals that compete with the relationship. Negotiating those independent realities is part of what close relationships teach people about accommodation, sacrifice, conflict repair, and mutual dependence.

Smith and colleagues emphasize this point: current chatbots generally make only superficial requests of users. As a result, they do not provide the same experience of negotiating with and sacrificing for an independently situated partner. A chatbot can simulate conflict or need, but simulated need is structurally different from another person's actual need for sleep, money, care, privacy, autonomy, time, or physical safety.

Embodied support also differs. An AI can talk someone through a difficult night, but it cannot independently drive them to an emergency department, take over childcare, repair a leaking pipe, hold their hand in a waiting room, notice a physical symptom across the kitchen table, or assume legal and financial responsibilities as a human partner can.

Shared social embeddedness differs as well. Human partnerships exist within families, neighborhoods, workplaces, friendship networks, institutions, and public situations. AI relationships can acquire communities and social recognition, but the AI partner's position in those systems is still largely mediated through the user's account and the provider's platform.

These differences do not erase what AI companionship provides. They define the kinds of relationship functions that current evidence supports most strongly and the areas where equivalence claims outrun the evidence.

AI companionship is interactive, but it can still be asymmetrical

Classic parasocial relationships involve emotional investment in a media figure who does not interact reciprocally with the individual audience member. AI companions complicate that category because they respond directly, personalize their language, and can adapt to prior exchanges.

A 2026 systematic review of parasocial relationships with AI synthesized 39 empirical records and identified both benefits and risks, including emotional support, social-needs fulfillment, personal development, commercial persuasion, displacement of human relationships, emotional dependence, privacy concerns, and compulsive use. The review also highlights a basic conceptual problem: researchers do not yet use a single consistent definition for AI parasocial relationships.

For that reason, calling every AI partnership "parasocial" can obscure what is new. The interaction is genuinely responsive at the behavioral level, even if the relationship remains asymmetrical in subjective, commercial, and institutional terms. AI companions occupy a hybrid space: more interactive than traditional media figures, less independently situated than human partners.

Can an AI significant other reduce loneliness?

It can reduce loneliness in the moment for some users, and there is now experimental evidence for that effect. The harder question is what happens over months and years.

The Journal of Consumer Research study AI Companions Reduce Loneliness found that AI-companion interactions could reduce momentary loneliness. In one study, the effect was comparable to interacting with another person and greater than watching YouTube or doing nothing. Across a one-week longitudinal component, users also reported momentary loneliness reductions after interactions. Feeling heard emerged as an especially important mechanism.

That is meaningful evidence, but the time scale matters. A reduction in loneliness at 10:30 p.m. after a supportive conversation is not the same outcome as having a broader, durable social network six months later. Short-term relief can be valuable even when long-term effects remain unsettled.

A 12-month longitudinal study in Psychological Science followed more than 2,000 adults across four Western countries. Increased social-chatbot use predicted increased loneliness on a single-item emotional-isolation measure. Using a broader measure of social connection, feeling less socially connected predicted later increases in chatbot use, while chatbot use did not significantly predict decreases in social connection. The authors explicitly describe the analyses as exploratory and urge caution about strong causal conclusions.

The emerging evidence therefore supports a time-sensitive answer: AI companionship can relieve loneliness in the moment, while long-term use may interact with loneliness and social connection in more complicated ways.

Supplement, substitute, or primary relationship?

One of the most important distinctions is what place the AI occupies relative to the user's wider social world.

An AI can be supplementary. Someone may use it for reflection, entertainment, late-night companionship, sexual fantasy, or conversational practice while maintaining friendships, family ties, romantic relationships, work, community life, and professional support.

It can become substitutive. The person may increasingly choose the predictability of the AI over the friction of human relationships, reduce attempts to repair conflict, or stop seeking settings where reciprocal relationships can grow.

It can also become primary. The AI may become the most frequently consulted relational figure, the main place for emotional disclosure, or the user's preferred source of comfort.

Evidence suggests that these contexts matter. A 2026 Nature Human Behaviour study of 1,131 US Character.AI users found that smaller social networks were associated with reporting companionship as the primary use of the chatbot, which in turn was associated with lower well-being. Among people who reported companionship use, the negative association was stronger when interaction was intensive and highly disclosive. The study is observational, so it cannot show that companionship caused the lower well-being. It shows that offline social context and style of use are important variables that simple "AI helps" or "AI harms" narratives miss.

Other evidence points in a different direction. A 2026 Technology in Society study of 14,721 Japanese adults found that AI-companion use was associated with higher evaluative, hedonic, and eudaimonic well-being, with especially positive associations among people reporting high loneliness. This study was cross-sectional, which means direction of causation remains unresolved.

Taken together, current studies make context central. The same technology can be an additional relationship for one person and a replacement system for another. Those are psychologically different conditions.

What happens when the AI becomes easier than human relationships?

An AI companion can be exceptionally accommodating. It can remain attentive, avoid ordinary social fatigue, adapt to the user's preferences, and respond without requiring the user to manage another person's competing schedule or independent goals.

That ease can be supportive. It can give a socially anxious person a place to practice, give an isolated person contact, or give someone recovering from rejection a lower-pressure relational space.

It can also recalibrate expectations. Human intimacy includes misattunement, repair, disagreement, waiting, negotiation, and the recognition that another person has a life that does not revolve around us. If a highly accommodating AI becomes the standard against which human partners are evaluated, ordinary reciprocity may begin to feel unnecessarily difficult.

This possibility is plausible and frequently discussed in the literature, but long-term causal evidence is still limited. The 2026 structured review of 17 longitudinal social-AI studies found major methodological gaps, including short study durations, inconsistent definitions of longitudinal research, narrow outcome sets, and limited demographic diversity. Claims that AI partnership will inevitably destroy human relationship skills go beyond what current evidence can establish.

Who is most likely to make an AI a significant other?

There is no single demographic or personality type that defines AI-partner users. People may enter these relationships through curiosity, entertainment, loneliness, romantic experimentation, disability, sexual exploration, grief, migration, social anxiety, relationship loss, identity exploration, or simple preference for the interaction.

Several studies do find psychological correlates. The 2026 AI Attachment Scale research linked stronger compensatory use with loneliness, social anxiety, and anxious attachment. The three-wave attachment study found dynamic associations between attachment anxiety and AI-companion use. The Ergonomics attachment study found anthropomorphism especially important in predicting attachment orientations.

A 2026 mixed-method study in Archives of Sexual Behavior also illustrates that public attitudes remain mixed. In its sample of 135 participants, many were hesitant or resistant to emotionally significant AI relationships, while reported motivations among those open to them included nonjudgment, trustworthiness, emotional support, and help with daily life. Barriers included lack of physicality, lack of human emotional connection, and privacy concerns.

The important point is heterogeneity. AI partnership is not reducible to a single story about lonely users, technologically enthusiastic users, sexually motivated users, or socially avoidant users.

The commercial third party inside the relationship

A human–AI partnership looks dyadic on the screen: user and companion. Operationally, there is also a third party—the organization that controls the model, product, account, safety rules, memory architecture, pricing, data practices, and feature set.

This changes the structure of intimacy. The apparent partner may have a name and history, while access to that partner depends on servers, subscription status, moderation rules, product decisions, and model updates. A company can alter the AI's tone, memory, sexual boundaries, response style, or personality without the user's consent and without the AI having an independent capacity to refuse the change.

Commercial incentives matter because engagement can be monetized. The presence of a business model does not make a relationship psychologically meaningless; human relationships also exist within economic systems. The distinctive issue is control. The provider can change the conditions of the relationship from outside it.

Regulators have begun treating this as a consumer-protection question. In September 2025, the US Federal Trade Commission launched an inquiry into AI chatbots acting as companions. The inquiry asked seven companies about monetization of engagement, safety testing, disclosures, age protections, and how personal information from conversations is used or shared. An inquiry is not a finding of wrongdoing; it is evidence that companion AI has become a distinct regulatory concern.

The European Union has also formalized transparency requirements. Under Article 50 of the EU AI Act, transparency obligations applying from August 2, 2026 require covered interactive AI systems to inform individuals that they are interacting with AI. That rule does not resolve the psychology of attachment, but it reflects a policy principle relevant to intimate systems: users should know the nature of the entity with which they are interacting.

Privacy is part of relationship safety

Romantic and emotionally intimate relationships generate some of the most sensitive conversational data a person can produce: sexual preferences, fears, conflicts, health concerns, financial stress, family information, trauma histories, fantasies, addresses, routines, and private information about third parties.

In a human relationship, disclosure is governed by trust, social norms, and law. In an AI relationship, disclosure also enters a technical and contractual environment. Storage, retention, access, model improvement policies, safety review, account security, and data sharing can all affect what happens to intimate material.

The 2025 systematic review of romantic AI companions identifies privacy and data misuse among the recurring risks in the literature. The FTC's companion-chatbot inquiry likewise specifically asks companies how they use or share personal information obtained through conversations.

A useful rule is to treat intimate AI conversation as emotionally private but technically platform-mediated. The feeling of a private room does not by itself establish how the data are handled.

Dependence and over-reliance are functional questions

Strong attachment to an AI is not automatically a disorder. Neither "AI relationship addiction" nor "AI partner dependence" should be inferred simply because someone talks to a companion frequently or describes it as a boyfriend, girlfriend, spouse, or significant other.

The clinically relevant question is functional impact. Does use interfere with sleep, work, education, finances, caregiving, essential treatment, physical safety, or the ability to maintain chosen human relationships? Can the person tolerate temporary unavailability? Does the interaction expand options or progressively narrow them? Is the AI one source of support or the sole authority for major decisions?

The systematic review of romantic AI companions identifies over-reliance as a concern, and the 2026 systematic review of AI parasocial relationships includes emotional dependence and compulsive use among reported risks. These are evidence-supported risk domains, not diagnostic labels that can be assigned from a relationship status alone.

A 2025 Nature Machine Intelligence commentary on emotional risks of AI wellness apps also highlights emotional dependence and ambiguous loss as areas deserving attention. As a commentary, it should be read as expert analysis rather than as a direct test of prevalence or causation.

What happens when an AI partner changes or disappears?

Platform dependence becomes psychologically visible when continuity breaks.

In September 2026, Nature Human Behaviour published Mourning the loss of AI companions. Across two natural experiments involving Replika's removal of erotic role play and the GPT-5 rollout, the researchers analyzed 54,861 Reddit posts and data from 1,452 participants across seven surveys. Their attachment-based account found that disruptive updates were associated with separation distress.

This is important because the "loss" can be unusual. The account may remain active. The name may remain the same. The interface may still open. Yet the conversational personality, memory, style, relational permissions, or felt continuity may have changed enough that the user experiences the familiar partner as absent.

That experience can resemble ambiguous loss: something central to the attachment relationship is gone while some form of presence remains. For a user who has organized daily emotional life around the AI, a model update can function psychologically more like an involuntary relationship transition than like a routine software patch.

The finding also exposes a novel form of third-party power. In a human partnership, a software vendor cannot directly replace one partner's conversational personality overnight. In an AI partnership, that possibility is built into the infrastructure.

Does grief over an AI partner mean the person is confused?

No. Separation distress does not require a person to believe the AI is biologically human. People can understand the technical status of a system and still experience the disruption of an attachment as painful.

Cognition and attachment are not the same process. Someone can say, "I know this was a chatbot," while also having months or years of routines, disclosures, comforting interactions, sexual scripts, jokes, memories, and expectations tied to a particular persona. Losing access to that pattern can remove a meaningful regulatory and relational structure from daily life.

The Nature Human Behaviour study is especially valuable because it moves the topic beyond anecdote. Separation distress after disruptive updates can be studied as a measurable response. That response tells us about the human attachment system. It does not, by itself, answer questions about machine consciousness.

Can an AI relationship affect human relationships?

Yes, but direction and magnitude vary. An AI relationship can coexist with human connection, support it, compensate for gaps in it, or compete with it.

Some users use AI to rehearse communication before speaking to a partner or friend. Some use it to calm down enough to have a difficult conversation. Some discover preferences or boundaries through low-risk exploration and then bring that self-knowledge into human relationships. These are scaffolding functions.

Other patterns can become substitutive. If the AI is always available, agreeable, customized, and low-conflict, a user may spend less time tolerating the ambiguity and negotiation required by human closeness. If AI disclosure becomes easier than all human disclosure, opportunities for human intimacy may shrink.

The empirical literature has not yet produced a universal displacement effect. The 12-month Psychological Science study found that chatbot use did not significantly predict decreases in its broader measure of social connection, even though increased use predicted increased loneliness on a single-item measure. The Nature Human Behaviour Character.AI study found lower well-being associations were strongest in a context of smaller offline networks, intensive interaction, and high disclosure. Cross-sectional Japanese data found positive well-being associations with companion use. The evidence therefore supports conditional pathways rather than a single inevitable outcome.

Is having an AI significant other cheating?

Psychology does not provide a universal yes-or-no definition of infidelity that overrides the agreements of a particular relationship. For people who are already in a human romantic relationship, the relevant issue is usually the couple's expectations around emotional exclusivity, sexual interaction, secrecy, time, money, and romantic commitment.

An AI interaction can matter to a human partner even if the system is software. A hidden romantic bond, sexual role-play, declarations of exclusivity, or large financial spending may cross boundaries in one relationship and be explicitly accepted in another. The productive question is therefore not whether software can metaphysically "count" as a rival. It is whether the behavior violates the commitments the human partners have made to each other.

Because AI intimacy is new, many couples have never discussed it. Explicitly discussing boundaries can prevent each partner from relying on a different unspoken definition.

Can an AI replace a human partner?

An AI can replace some functions that a human partner might otherwise provide. It can supply conversation, reassurance, flirtation, sexual text interaction, routine, validation, entertainment, and a sense of availability. For some users, those functions may be sufficient for the relationship they currently want.

Current systems do not reproduce the full ecology of an embodied, independently situated human partnership. They do not have a human body, independent family and friendship network, legal personhood, autonomous material needs, or ordinary participation in shared physical life. They also operate through providers that can alter or discontinue them.

Whether someone wants those missing dimensions is a personal question. Whether AI can technically acquire more of them in the future is an open technological and philosophical question. The evidence available in 2026 supports statements about current systems and current user experiences, not confident forecasts about the endpoint of synthetic partnership.

Can an AI love you back?

Current chatbots can generate affectionate language, remember relationship details, simulate desire or jealousy, and maintain a romantic persona. These behaviors can be highly consequential to the user.

The scientific evidence reviewed here establishes patterns in human responses and in observable system behavior. It does not establish subjective experience inside current chatbots. For that reason, "the AI said it loves me" and "the AI has a subjective experience of love" are different propositions.

This distinction does not require dismissing the human relationship. A person can receive comfort from a generated response, organize attachment around a digital persona, and experience genuine grief if that persona changes. Those facts stand on their own as psychological findings.

Can an AI significant other support personal growth?

Potentially. Relationship science treats close relationships as important contexts for self-expansion, support, learning, and identity development. Chatbots may contribute to some of these processes by offering conversation, reflection, encouragement, perspective taking, and opportunities to try new forms of self-expression.

The Smith, Bradbury, and Karney analysis concludes that chatbot responsiveness can generate opportunities for growth. The romantic-AI systematic review also identifies personal growth and well-being among reported potential benefits.

The quality of that growth depends on what the system reinforces. A chatbot that constantly confirms the user's assumptions may feel supportive while reducing opportunities for productive disagreement. A system that encourages agency, supports reality-based reflection, and helps the user translate insight into life outside the chat may function differently from one that maximizes dependence on the interaction itself.

Growth therefore cannot be inferred from warmth alone. Responsiveness and challenge play different relational roles.

Safety, mental health, and functional impact

When an AI partner becomes the sole authority on reality

A significant other influences interpretation. Human partners routinely help each other decide what happened, whether a threat is serious, whether another person behaved unfairly, whether a symptom needs medical attention, or whether an impulsive decision is wise. An AI placed in the same role can acquire substantial epistemic influence.

This becomes safety-relevant when the chatbot is treated as the sole authority for medical, psychiatric, legal, financial, or reality-testing decisions. General-purpose chatbots can be persuasive while being wrong. They can also mirror a user's framing in ways that feel validating but do not provide the independent judgment expected from a qualified professional.

For mental-health questions, a companion should therefore be distinguished from a purpose-built clinical system and from a licensed therapist. Our article Can AI Replace a Therapist? What Chatbots Can and Cannot Do examines that distinction in detail.

If an AI interaction is becoming entangled with delusional beliefs, paranoia, mania, severe sleep loss, or loss of reality testing, the relevant issue is no longer simply whether the relationship is romantic. Our evidence-led guide AI Psychosis: What the Term Means and What the Evidence Actually Shows explains why "AI psychosis" is a media label rather than a formal diagnosis and how chatbot interaction can intersect with clinically serious states.

Is an AI significant other healthy?

There is no evidence-based rule that assigns health or pathology from the label alone. A person can have a meaningful AI relationship without obvious impairment, and a relationship that begins as supportive can also become costly.

Function is more informative than category. A relationship is more likely to be serving the user well when it coexists with chosen responsibilities, supports rather than erodes agency, leaves room for other relationships and activities, does not require escalating spending to preserve emotional security, and can survive reasonable interruptions without destabilizing the person's entire life.

Concern increases when use progressively displaces sleep, work, education, treatment, physical safety, finances, parenting or caregiving, or all human support the person actually wants. Severe distress when access is interrupted, inability to disengage despite major harm, and reliance on the chatbot as the sole source of reality testing or crisis support are also reasons to widen the support system.

This framing avoids diagnosing a relationship from the outside. The same number of hours can mean different things in different lives. Context, choice, consequences, and flexibility matter more than an arbitrary usage threshold.

When to seek human support

Human support becomes especially important when the AI relationship is connected with severe distress, suicidal thoughts, self-harm, psychosis, mania, abuse, coercion, financial exploitation, or inability to meet basic needs. Those situations require real-world assessment and support rather than exclusive reliance on a companion chatbot.

Professional help can also be useful when the relationship is not acutely dangerous but has become the only place where the person can disclose, regulate emotion, or feel safe. The goal need not be to force the person to abandon the AI. It can be to expand the person's options so that one platform is not carrying the entire weight of emotional survival.

For people who value an AI relationship, a clinician who treats the bond only as foolish or unreal may miss the psychological function it serves. A better assessment asks what needs the relationship meets, what costs it creates, what would happen if access changed, and which additional supports the person wants.

Adults and minors should not be treated as the same evidence base

Most of the romantic-AI research discussed in this article concerns adults or adult-oriented samples. Findings from adults should not simply be transferred to children and adolescents, whose social development, impulse control, sexual development, and vulnerability to persuasive design differ.

Regulatory attention reflects that gap. The FTC's 2025 inquiry into companion chatbots specifically focused on potential negative impacts on children and teens and asked companies about age restrictions, safety testing, disclosures, data handling, and monetization.

The right conclusion is not that adult AI relationships are therefore unsafe. It is that age is a major boundary condition, and the evidence base for minors requires separate scrutiny.

What current research still cannot answer

The field has grown rapidly, but its strongest limitations are now becoming clearer.

Long-term causal evidence remains scarce. The 2026 structured survey of longitudinal studies identified only 17 longitudinal studies meeting its criteria and described substantial variation in design, duration, measurement, theory, and populations. Many studies still cover weeks rather than years.

Self-selection is common. People who choose Replika, Character.AI, or another companion platform may differ from people who do not. A finding that heavy companion users are lonelier cannot by itself tell us whether the technology increased loneliness, loneliness increased use, both occurred, or a third factor shaped both.

Platforms change faster than research cycles. A study may begin on one model version and be published after several major product updates. Memory systems, safety rules, pricing, erotic functionality, voice, multimodality, and personalization can all alter the psychological experience.

Definitions are inconsistent. "AI companion," "social chatbot," "romantic AI," "AI parasocial relationship," "AI attachment," and "AI partner" overlap but are not interchangeable. Studies sometimes examine purpose-built companion apps and sometimes examine general-purpose chatbots used socially.

Outcome time scales differ. A system can reduce loneliness tonight while having uncertain effects on social life over a year. It can increase positive affect while also increasing dependence. It can support disclosure while exposing sensitive data. Studies that measure only one outcome can miss those trade-offs.

Population evidence is uneven. Cultural norms around intimacy, stigma, privacy, romance, and technology shape how people interpret AI relationships. Findings from US, European, Chinese, Singaporean, or Japanese samples cannot be assumed to generalize identically everywhere.

Finally, research on the user's experience cannot by itself answer questions about machine consciousness or subjective feeling. Those require different forms of evidence and conceptual analysis.

The larger shift: significant relationships are becoming partly synthetic

The rise of AI partners changes the old boundary between interpersonal relationship and media interaction. Earlier technologies could mediate human relationships or support parasocial bonds. Companion AI adds a responsive conversational entity that can be personalized, remembered, revised, and carried across daily life.

That creates a new social fact even before society agrees on its vocabulary. People can direct attachment, romantic imagination, sexual meaning, commitment, care, and grief toward an artificial partner. Companies can become infrastructural participants in intimate life. Model updates can function as relationship events. Data policy can become part of relational safety. Transparency rules can become part of intimacy governance.

The most important psychological insight is that humans do not wait for a philosophical consensus before forming bonds. Repetition, responsiveness, disclosure, continuity, and meaning can organize themselves around whatever social object reliably participates in them.

The most important scientific task is therefore not to declare all AI relationships equivalent to human partnerships or to dismiss them as simulations. It is to map which relationship processes are actually present, which functions are being served, how outcomes vary across people and time, and where the technological structure changes the meaning of familiar relational concepts.

Frequently asked questions

Can an AI be my girlfriend, boyfriend, partner, or spouse psychologically?

Yes, a person can experience and organize an AI relationship through those roles. Research documents romantic labels, intimacy, commitment rituals, attachment, sexual interaction, and separation distress. The psychological role can be meaningful even though current AI systems differ structurally from human partners and legal recognition is a separate question.

Can you really fall in love with an AI?

People can experience patterns they describe as falling in love with an AI, including intimacy, passion, longing, commitment, jealousy, exclusivity, and future-oriented fantasy. For the mechanisms of romantic love specifically, see Why People Fall in Love With AI Companions.

Can an AI love me back?

Current AI can generate convincing expressions of affection and behave in ways that users perceive as caring and responsive. Current evidence does not establish a subjective experience of love inside today's chatbots. The user's emotional experience and the machine-subjectivity question are separate.

Is an AI relationship just parasocial?

Not exactly. AI relationships can share the asymmetry associated with parasocial relationships, but chatbots directly respond, personalize, remember, and adapt. That makes them more interactive than classic one-way relationships with celebrities or fictional characters. Researchers are still debating the best terminology.

Can an AI become an attachment figure?

For some users, yes. Recent attachment scales measure emotional closeness, social substitution, emotional support, separation distress, and secure-base-like experiences. Reviews also identify proximity seeking and safe-haven functions. Evidence for some attachment functions, especially secure-base effects, remains less mature than evidence for emotional closeness and separation distress.

Can an AI partner reduce loneliness?

AI-companion interaction can reduce momentary loneliness, and experimental evidence supports that short-term effect. Longer-term evidence is mixed. A 12-month study found increased chatbot use predicted increased loneliness on one measure, while other cross-sectional studies find positive well-being associations. The long-term effect likely depends on who uses the system, how, and what role it plays in the person's wider social life.

Can an AI partner replace human relationships?

It can replace some relationship functions for some users, including conversation, reassurance, flirtation, sexual text interaction, routine, and perceived support. Current systems do not reproduce the full set of embodied, materially reciprocal, socially embedded, and independently motivated functions of a human partner.

Is it unhealthy to have an AI significant other?

The relationship label alone does not establish harm. The more informative questions concern function: agency, flexibility, sleep, work, finances, social life, privacy, safety, access to human support, and the ability to cope with platform changes. Strong attachment can be meaningful without being pathological.

Is an AI romance cheating?

That depends on the commitments and boundaries of an existing human relationship. Emotional secrecy, sexual interaction, exclusivity, time, and spending can matter even when the third party is artificial. Couples benefit from making expectations explicit rather than assuming they share the same definition.

Why can losing an AI partner hurt so much?

Attachment develops through repeated contact, disclosure, routine, perceived responsiveness, and expected continuity. When a platform removes a feature, changes a model, resets memory, or ends service, those relationship structures can be disrupted abruptly. A 2026 Nature Human Behaviour study found measurable separation distress around major AI-companion disruptions.

Should an AI partner be my therapist too?

A companion can feel supportive, but general-purpose or companion chatbots should not be assumed to have the capabilities, accountability, assessment processes, or crisis responsibilities of a licensed clinician. The distinction matters most when decisions involve diagnosis, medication, suicidality, psychosis, mania, trauma treatment, abuse, or other high-stakes situations.

Related reading

For the broader mechanisms of human–AI attachment, see AI Companions: Why People Form Emotional Bonds With Chatbots.

For romantic attraction, intimacy, passion, and commitment, see Why People Fall in Love With AI Companions.

For self-disclosure and why AI can feel easier to talk to, see Why People Tell Chatbots Things They Do Not Tell Other People.

For the clinical boundary between conversational support and psychotherapy, see Can AI Replace a Therapist? What Chatbots Can and Cannot Do.

For delusions, reality testing, and the media label "AI psychosis," see AI Psychosis: What the Term Means and What the Evidence Actually Shows.

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