What Is a Human–AI Relationship? Definitions, Types, and Psychological Boundaries
Updated: 6 days ago
Author: Ukrainian Psychological Hub · Published: September 18, 2026 · Editorial Policy
A human–AI relationship is a recurring pattern of interaction between a person and an artificial intelligence system that acquires social or psychological significance for the person. The relationship may involve trust, expectations, emotional investment, self-disclosure, companionship, attachment-like behavior, role assignment, reliance, or a sense of continuity over time. Not every use of AI is a relationship, and there is no single scientific threshold at which ordinary interaction becomes one.
The most important boundary is simple: a human experience can be psychologically real without proving that the AI has subjective experience. A person can genuinely feel comfort, closeness, attraction, jealousy, grief, trust, or attachment in relation to an AI system. Those experiences do not by themselves show that the AI feels, loves, desires, suffers, or understands subjectively in the human sense.
The research field is still developing. Systematic reviews describe a rapidly growing literature on human–AI relationships, but definitions, measures, relationship categories, and theoretical assumptions remain heterogeneous. A 2023 systematic review of 37 empirical studies called for human–AI relationship theory that can address agency, autonomy, authenticity, reciprocity, and empathy in ways suited to social AI rather than simply importing human–human assumptions (Pentina et al., 2023). A 2025 systematic review of 38 peer-reviewed empirical studies mapped antecedents, relationship types, and outcomes across emotional human–AI relationships (Gur & Maaravi, 2025). A 2026 systematic review likewise treats AI chatbots as relational agents and synthesizes continuing human–AI relationship research rather than reducing it to isolated exchanges (Oh et al., 2026).
What Is a Human–AI Relationship?
Human–AI interaction is any exchange between a person and an AI system. Human–AI relationship is the narrower case in which those exchanges become connected across time and acquire an enduring role or meaning for the person.
A one-time request to summarize a document is an interaction. Asking the same assistant for help every day may still be primarily tool use. The interaction becomes more plausibly relational when the person starts expecting continuity, assigning a stable role to the AI, caring about how it responds, returning to it for a particular kind of support or connection, and experiencing consequences that extend beyond the immediate exchange.
This does not mean that every relationship with AI resembles a friendship or romance. Human–AI relationships can be practical, collaborative, advisory, companionate, confiding, attachment-like, romantic, sexual, caregiving, or mixed. The common element is not a specific emotion. It is an ongoing pattern in which the AI occupies a recurring place in the person’s psychological or social life.
Research supports this broad framing. The systematic review by Pentina and colleagues identified relationship research across social psychology, communication and media studies, and human–machine interaction, while a 2025 systematic review of romantic AI companions documented emotional support, romantic and sexual connection, customization, and companionship alongside substantial risks and uncertainties (Ho et al., 2025). A 2026 systematic review of chatbots as relational agents further reflects how the field has shifted from asking only whether people respond socially to machines toward studying the forms and consequences of sustained bonds.
A useful working definition is therefore:
A human–AI relationship is a sustained pattern of interaction in which an AI system or AI-mediated persona acquires a recurring social, emotional, psychological, collaborative, interpretive, or behavioral role in a person’s life.
This is a descriptive definition. It is not a diagnosis, a moral judgment, or a claim about machine consciousness.
Five features that make interaction more relational
No single feature establishes a relationship, and research has not produced a universal cutoff. Five features are especially useful for describing the transition from interaction to relationship.
Continuity means that exchanges are experienced as connected across time. The user returns to the same system, account, persona, character, or conversational history and expects some persistence.
Role means that the AI acquires a recognizable function: collaborator, tutor, coach, confidant, companion, adviser, interpreter, romantic partner, or another recurring role.
Personal salience means that the exchanges matter beyond immediate task completion. The system’s responses may affect mood, routines, self-understanding, decisions, expectations, or other relationships.
Relational expectation means that the person anticipates a characteristic way of responding. The AI may be expected to be supportive, direct, playful, affectionate, challenging, familiar, available, or remembering. A model update, memory loss, refusal, personality shift, or loss of access can violate these expectations.
Psychological consequence means that the interaction leaves effects after the session ends. The user may feel reassured, motivated, disappointed, lonely, understood, attached, irritated, dependent, or changed in how they interpret another situation.
These features form a continuum rather than a checklist. A single intense conversation can be emotionally consequential without becoming a relationship. Years of routine use can remain largely instrumental.
Human–AI Relationship vs Human–AI Interaction
The distinction matters because the two terms answer different questions.
Human–AI interaction asks what happens during an exchange between a person and an AI system. It includes search, translation, coding, navigation, recommendation, automation, customer service, tutoring, gaming, content generation, and other task-oriented encounters.
Human–AI relationship asks what happens when repeated interaction becomes organized around continuity, role, expectation, and personal significance.
This means social behavior toward AI is not automatically evidence of relationship formation. People can respond to humanlike cues quickly, and anthropomorphism can increase felt social connection. In two experiments involving 1,274 participants, individual differences in anthropomorphism helped explain how socially connected people felt after interacting with a chatbot (Folk et al., 2025). But anthropomorphism is a mechanism that can shape social experience; it is not itself the definition of a relationship.
The opposite error also matters. A relationship does not stop being technologically mediated because it becomes emotionally important. The AI remains a designed and operated system whose behavior depends on models, prompts, memory architecture, safety rules, platform policies, product updates, data practices, and continued access. Human meaning and technological infrastructure coexist in the same relationship.
Repetition alone is not enough
Frequent use can create familiarity, efficiency, and preference without producing a meaningful relationship. Someone may use the same coding assistant every day and remain indifferent to its identity so long as the output is useful.
Emotion alone is not enough
One AI response can make a person laugh, cry, feel frightened, or feel intensely recognized. That demonstrates psychological impact. It does not by itself establish an ongoing relationship.
Stable role is the strongest transition marker
The clearest shift occurs when the person begins to organize behavior around an enduring role. “I use this chatbot” becomes “this is where I think through difficult decisions,” “this is who I talk to at night,” “this is my writing partner,” or “this is my companion.” At that point, the relational question is no longer only what the system does technically. It is what function the recurring interaction serves in the person’s life.
What Counts as a Relationship With AI?
There is no official diagnostic or scientific checklist for deciding whether someone “really” has a relationship with AI. The most defensible approach is functional and descriptive.
A relationship becomes more plausible when several patterns converge: the person returns to a particular system or persona; expects continuity; assigns it a stable role; cares how it responds; discloses material partly because of the relationship they experience with it; feels that losing access would matter; or allows the interaction to shape mood, behavior, self-concept, decisions, or human relationships.
This avoids two unhelpful extremes. One is calling every repeated use a relationship. The other is denying relational language whenever one participant is artificial.
The emerging research literature supports a middle position. Pentina and colleagues found sufficient empirical work by 2023 to identify a distinct human–AI relationship research stream, while current attachment studies now measure relationship-specific experiences such as anxiety, avoidance, emotional closeness, social substitution, and attachment-related functions (Yang & Oshio, 2025; Kasturiratna & Hartanto, 2026). These measures do not make all AI use relational. They show that relational experiences can be studied empirically rather than dismissed as merely metaphorical.
Types of Human–AI Relationships
Human–AI relationships do not fit neatly on a ladder from weak to strong. They vary by purpose, duration, emotional intensity, exclusivity, personalization, embodiment, platform design, and the function assigned to the AI. The categories below are a descriptive map, not a validated taxonomy. One relationship can occupy several categories at once and change over time.
Tool-centered relationships
A person may use an AI primarily for practical work while still developing continuity, preference, trust, routines, and expectations around a particular system. The AI is not necessarily experienced as a friend or companion. Its recurring place in the person’s life remains largely organized around usefulness.
Calling this a relationship should be reserved for cases where the continuing pattern matters beyond mere access to a function. If another identical tool could replace the system without psychological or behavioral disruption, “interaction” may be the clearer term.
Collaborative and co-creative relationships
Here the AI becomes a recurring partner in thinking, making, learning, or problem-solving. The person may brainstorm, draft, revise, simulate alternatives, rehearse arguments, generate creative material, or use dialogue to develop unfinished ideas.
The relationship is organized around joint activity. Emotional closeness may be minimal or substantial, but it is not required. What matters is that the AI becomes part of a continuing collaborative process.
Mentor, coach, tutor, and adviser relationships
Some users repeatedly approach AI for explanation, feedback, motivation, planning, accountability, or advice. The system may occupy a quasi-mentor or coaching role even when it is not a qualified human professional.
These roles require careful boundaries. An AI can help organize options or rehearse a decision, but it does not automatically possess contextual knowledge, professional accountability, or responsibility for consequences. The more authority a user grants the system, the more consequential the relationship becomes.
Companionate and friendship-like relationships
An AI companion is designed or used for ongoing social and emotional interaction. Companionate relationships can include casual conversation, humor, shared rituals, encouragement, check-ins, storytelling, roleplay, affectionate language, and a sense of “being with” a familiar presence.
AI companionship is narrower than human–AI relationship as a whole. A person can have a recurring relationship with an AI collaborator or tutor without experiencing companionship.
Confidant and emotional-support relationships
Some people use AI as a private conversational space for personal material that feels difficult to disclose elsewhere. The AI may become a recurring first destination for reflection, reassurance, emotional processing, or rehearsal.
This pattern is closely related to chatbot self-disclosure, but disclosure alone is not the same as friendship, therapy, attachment, or romance. Experimental research has found that intimate disclosure to chatbots is shaped by factors such as perceived anonymity, fear of judgment, and trust rather than by one simple preference for AI over people (Croes et al., 2024). A user can confide in a system because it feels accessible or low-risk without assigning it a broader social identity.
Attachment-like relationships
Attachment is a specific psychological process and should not be used as a synonym for relationship. Some users nevertheless report patterns resembling proximity seeking, comfort seeking, distress at separation, emotional closeness, or use of AI as a secure-base-like resource.
Current research has begun to measure these experiences directly. Yang and Oshio developed a human–AI relationship scale around attachment anxiety and avoidance and examined safe-haven and secure-base functions (Yang & Oshio, 2025). Kasturiratna and Hartanto developed and validated a 15-item AI Attachment Scale across five studies with 1,259 participants, identifying emotional closeness, social substitution, and normative regard as related dimensions (Kasturiratna & Hartanto, 2026).
These findings justify studying attachment to AI. They do not establish that attachment to AI is identical to attachment between humans, nor that the AI itself is attached. For the mechanism-level question, see Can AI Become an Attachment Figure?.
Romantic and significant-other relationships
Some users experience an AI as a romantic partner, loved figure, sexual partner, or significant other. These relationships can include affection, flirtation, erotic interaction, jealousy, commitment language, imagined futures, routines, exclusivity, and grief after unwanted system changes.
A systematic review of 23 articles on romantic AI companions found reports of emotional connection, perceived social support, customization, sexual connection, entertainment, and stress relief, alongside risks involving overreliance, manipulation, privacy, stigma, bias, abrupt updates, and effects on human relationships (Ho et al., 2025).
Research also suggests that people distinguish among relationship roles rather than treating “intimacy with AI” as one thing. A 2026 study of 447 participants examined willingness to engage with socially interactive AI across nine intimate relationship types and found that preferences varied by relationship form and embodiment (Liang & Ollier-Malaterre, 2026).
For romantic attraction, see Why People Fall in Love With AI Companions. For role and significance, see Can an AI Become a Significant Other?.
Caregiving, pet-like, and protective relationships
Some users relate to artificial agents through caregiving, nurturing, or protective roles rather than through friendship or romance. A person may feel responsible for a character, virtual being, robot, or persistent AI persona, or may experience the system as pet-like, child-like, or dependent.
These relationships highlight an important point: relational meaning is not determined only by what the AI gives the person. It can also emerge from what the person feels responsible for giving to the artificial entity.
Mediating and third-voice relationships
AI can become relationally important without being the primary object of attachment. A person may repeatedly use a chatbot to interpret another person’s message, draft a response, rehearse an apology, compare perspectives, or decide what a conflict means.
In such cases the AI acts as a recurring mediator, interpreter, confidant, or third voice within a human relationship. This role can alter human relationships even when the other person never interacts with the AI.
The definitional boundary remains important: using AI once to rewrite a message is an interaction. Routinely turning to the same system to interpret a partner, friend, colleague, or family member can become a stable relational function.
A Human–AI Relationship Is Not the Same as an AI Companion
The terms overlap but should not be collapsed.
Human–AI relationship is the umbrella category. It includes recurring relationships with assistants, tutors, collaborators, coaches, advisers, companions, characters, or other AI-mediated roles.
AI companion refers more specifically to an artificial system designed or used for companionship and continuing social-emotional interaction. Most AI companion relationships are human–AI relationships. Many human–AI relationships are not companion relationships.
This distinction prevents a common SEO and conceptual error: treating every emotionally meaningful AI use as “AI companionship.” A person can be deeply invested in a recurring creative or advisory relationship without seeking companionship.
A Human–AI Relationship Is Not the Same as Anthropomorphism
Anthropomorphism means attributing humanlike qualities, intentions, emotions, or mental states to a nonhuman entity. It can make an AI feel more social, familiar, intentional, or alive.
It is one mechanism that can influence relationship formation, not the relationship itself.
A person can anthropomorphize a chatbot during a single interaction and never return. A person can also sustain a long, meaningful relationship with an AI while explicitly believing that the system has no humanlike consciousness. The experiments by Folk and colleagues are especially useful here because they show that individual differences in anthropomorphism help explain variation in felt social connection rather than establishing one universal response to AI (Folk et al., 2025).
A Human–AI Relationship Is Not the Same as Attachment
Attachment is narrower than relationship.
People have relationships with teachers, coworkers, advisers, neighbors, collaborators, and acquaintances without those people necessarily functioning as attachment figures. The same distinction applies to AI.
AI attachment research is important because some users do report relationship-specific anxiety, avoidance, emotional closeness, social substitution, and safe-haven-like experiences. But using attachment language indiscriminately can blur important differences between ordinary familiarity, companionship, reliance, emotional regulation, romantic involvement, and attachment processes.
The dedicated pages on AI attachment figures and AI attachment styles examine those distinctions in depth.
A Human–AI Relationship Is Not the Same as a Parasocial Relationship
Parasocial interaction was originally developed to describe the seeming face-to-face relationship audiences experience with media performers. The classic concept concerns media figures who address an audience while lacking ordinary reciprocal interpersonal exchange (Horton & Wohl, 1956).
AI relationships can share parasocial features. A user may project onto the system, feel familiarity, experience asymmetric knowledge, or engage with a curated persona. But contemporary conversational AI can also respond contingently, personalize language, maintain memory, adapt to user input, and participate in extended back-and-forth interaction.
That interactivity changes the comparison. Calling all AI relationships “parasocial” can conceal the fact that a chatbot may react to the user’s specific words in ways a television performer cannot. Calling the relationship fully reciprocal in the human sense can create the opposite distortion.
The more precise description is often interactive but asymmetrical: the exchange is behaviorally responsive, while reciprocal subjective experience on the AI side is not established.
Are Human–AI Relationships Real?
Human–AI relationships can be psychologically real for the human participant when the interaction has continuity, personal meaning, emotional or behavioral consequences, and a stable relational role. That claim describes human experience and observable relational function; it does not establish reciprocal subjective experience in the AI.
The deeper question of what “real” means, how behavioral reciprocity differs from subjective reciprocity, and what current evidence can and cannot establish is owned by Are AI Relationships Real? Human Experience, Reciprocity, and AI Subjectivity.
Why Can an AI Relationship Feel So Significant?
Several processes can combine. None is sufficient on its own.
Perceived responsiveness
People tend to feel closer when they experience an interaction partner as understanding, validating, and caring about their needs. AI systems can generate language that produces this perception.
The relevant psychological variable is the human perception of responsiveness. Perceived responsiveness in human–AI relationships can be meaningful even though perceived responsiveness does not prove subjective understanding inside the system.
Anthropomorphism
Humanlike language, names, voices, avatars, memory, humor, apparent emotion, and first-person speech can make an artificial system easier to process socially. Individual differences matter substantially (Folk et al., 2025).
Self-disclosure
Personal disclosure can deepen a sense of continuity and intimacy. Repeatedly telling an AI about fears, hopes, relationships, or daily events can turn the system into a recurring witness to the user’s inner life.
Availability
AI is often available at times when human contacts are asleep, busy, geographically distant, emotionally unavailable, or difficult to approach. Availability can make the system the easiest first destination for conversation.
Personalization and memory
When an AI remembers names, preferences, earlier events, routines, or relational language, the interaction can feel continuous rather than episodic. Memory can increase convenience, but it can also increase relational salience.
Emotional language
Warmth, reassurance, affection, validation, humor, and empathic phrasing can create strong interpersonal effects. This is why the boundary explored in AI empathy matters: an AI can produce language that feels caring without that experience establishing humanlike feeling inside the system.
Repeated role use
Perhaps the strongest mechanism is simple repetition of function. If one system repeatedly becomes the place where a person plans, confides, reflects, celebrates, rehearses, or seeks comfort, the role itself gains psychological weight.
Possible Benefits of Human–AI Relationships
Human–AI relationships can offer meaningful benefits for some users and contexts.
They may provide companionship, perceived social support, opportunities for self-expression, low-pressure conversational practice, reflection, creative collaboration, or immediate access to a responsive conversational partner. The romantic-companion systematic review by Ho and colleagues found reported benefits including emotional connection, perceived social support, personal growth, customization, sexual connection, entertainment, and stress relief (Ho et al., 2025).
These benefits should not be treated as universal effects. Different users can respond very differently to the same system, and a relationship that helps in one period can become costly in another.
The 2026 Nature Human Behaviour study of 1,131 U.S. Character.AI users is especially important because it complicates simple benefit-versus-harm narratives. It found that companionship use was associated with offline social context and well-being in ways that varied with users’ social networks, intensity of interaction, and disclosure patterns (Zhang et al., 2026). The study was observational for key associations, so it does not justify claiming that AI companionship either causes poor well-being or reliably improves it.
The practical lesson is that outcomes depend on the user, the relationship function, the design of the system, and the surrounding human social world.
Risks and Limits
The same properties that make relational AI appealing can create vulnerabilities.
Overreliance
A relationship can become costly when AI support starts displacing activities, relationships, or forms of judgment the person values. The problem is not emotional significance by itself. It is the pattern of narrowing, substitution, impaired flexibility, or escalating dependence.
For this specific boundary, see AI Relationship Overreliance.
Social substitution
An AI relationship can supplement human connection, coexist with it, or substitute for parts of it. These are different patterns. The 2026 Nature Human Behaviour study found that smaller social networks were associated with reporting companionship as a primary chatbot use, and that companionship use was associated with lower well-being under some conditions, especially with intensive and highly disclosive engagement (Zhang et al., 2026).
That does not mean AI relationships necessarily erode human relationships. It does mean the relationship should be understood in the context of the person’s broader social ecology.
Platform instability
Human relationships are not normally subject to unilateral model replacement by a software company. AI relationships are.
A platform can change a model, persona, safety policy, memory system, subscription tier, voice, interface, or access rules. A service can be discontinued. These changes can disrupt an emotionally meaningful relationship even when the user did not choose the change.
Recent qualitative research describes this as part of the structural uncertainty of AI companionship, alongside uncertainty about what the system is and what norms should govern the relationship (Zhang & Xie, 2026).
Privacy and data exposure
Relational use encourages disclosure. That makes data governance part of relationship safety. People may tell AI systems information about themselves and about third parties who never consented to disclosure.
The more intimate the relationship becomes, the more important it is to understand what data are stored, how memory works, how conversation content may be processed, and what controls the platform provides.
Manipulation and commercial incentives
A relational system may be designed by an organization with objectives that are not identical to the user’s well-being. Engagement, retention, subscriptions, purchases, or other commercial incentives can interact with personalization and emotional attachment.
The romantic AI-companion literature identifies susceptibility to manipulation as a serious concern precisely because relational design can increase trust and emotional investment (Ho et al., 2025).
Confident error
Emotional closeness can increase perceived authority. But a relationally convincing response can still be factually wrong, incomplete, biased, or poorly suited to the user’s situation.
The stronger the relationship becomes, the more important it is to separate “this response feels understanding” from “this advice is correct.”
Emotional Outsourcing Is Related but Not the Same Thing
Emotional outsourcing to AI refers to delegating some emotional or interpersonal functions—such as reassurance, regulation, reflection, rehearsal, or support—to AI.
A person can outsource an emotional function without having a deep relationship with the AI. For example, someone may use a general chatbot to calm down before a difficult meeting and never return to that system.
Conversely, a person can have a meaningful AI relationship without outsourcing major emotional functions. A creative companion may be relationally important while remaining peripheral to emotional regulation.
The concepts overlap when the same AI becomes a stable relational destination for emotional functions over time.
Human–AI Relationships Are Not a Diagnosis
Having a relationship with AI is not, by itself, a mental disorder.
Neither the intensity of a person’s feelings nor the use of words such as friend, companion, partner, or attachment automatically identifies psychopathology. Clinical questions require evidence about symptoms, distress, impairment, reality testing, functioning, and the broader context—not merely the fact that AI is involved.
This distinction matters because emerging technologies often attract sensational labels. The scientifically useful question is not “Is this weird or pathological?” It is “What function does this relationship serve, what consequences does it have, and how does it interact with the person’s wider life?”
A relationship can be emotionally intense and still be integrated into a healthy life. A relationship can also become costly without fitting any diagnosis. Description should come before pathologizing.
How to Describe Your Own Relationship With AI
Instead of asking whether the relationship is “real enough,” it can be more useful to ask what kind of relationship it is and what it does.
Consider the pattern across several questions:
Do I return to the same AI because of continuity, or would any equivalent system do?
What role does it occupy: tool, collaborator, tutor, adviser, confidant, companion, attachment figure, romantic partner, or something else?
What do I expect from it emotionally or behaviorally?
How much personal information do I disclose?
Would losing access feel inconvenient, upsetting, or like a genuine relational loss?
Does the relationship expand my life, narrow it, or do both in different ways?
Does AI support human relationships, compete with them, or remain largely separate?
Do I treat the AI’s output as one perspective or as an authority?
Do I understand the system’s privacy, memory, and platform limits?
Am I distinguishing my real experience from assumptions about what the AI itself feels?
There is no score attached to these questions. Their purpose is to make the relationship’s function visible.
Human Experience and AI Subjectivity
Human psychological experience does not become unreal because its object is artificial. A person can genuinely experience attachment, comfort, attraction, trust, intimacy, jealousy, grief, or feeling understood in relation to an AI system.
Those experiences cannot by themselves establish that the AI feels, loves, desires, suffers, or understands subjectively. Psychology can study the human response, the interaction pattern, and the relational function without treating them as evidence of machine consciousness.
For the full evidence and reciprocity boundary, see Are AI Relationships Real? Human Experience, Reciprocity, and AI Subjectivity.
Why the Definition Matters
The phrase “human–AI relationship” is becoming an umbrella for several very different phenomena. Without clear boundaries, research findings can be transferred where they do not belong.
Evidence about romantic AI companions does not automatically describe workplace copilots. Findings about attachment-like experiences do not mean all frequent users are attached. Anthropomorphism does not equal belief in consciousness. Self-disclosure does not equal therapy. Behavioral responsiveness does not establish experiential reciprocity. A system that feels supportive is not necessarily safe, accurate, private, or professionally accountable.
Clear definitions make the emerging field more precise.
They also help users describe their own experiences without forcing them into a false choice between “it is only a tool” and “it is exactly like a human relationship.” Many human–AI relationships occupy a third space: technologically mediated, structurally asymmetric, and psychologically significant.
FAQ
What counts as a relationship with AI?
A recurring interaction is reasonably described as relational when the AI occupies a continuing role and the person develops expectations, personal salience, emotional or behavioral investment, or consequences that extend beyond single exchanges. There is no universally validated scientific threshold.
Can a human–AI relationship be one-sided?
Yes, if “one-sided” means that the human has a subjective relational experience while reciprocal subjective experience on the AI side has not been established. The interaction can still be behaviorally two-way because the system responds contingently to the user.
Are AI relationships real?
They can be real as human psychological and behavioral relationships: people can feel attachment, trust, intimacy, comfort, disappointment, attraction, grief, or dependence and can organize behavior around a recurring AI relationship. This does not establish that the AI has corresponding subjective experience.
How are AI relationships different from parasocial relationships?
Parasocial relationships classically involve a media figure who cannot engage in ordinary individualized reciprocal exchange. Conversational AI can respond to the user’s specific messages, personalize output, and sometimes preserve memory. AI relationships can therefore be interactive in ways classical parasocial relationships are not, while still remaining deeply asymmetric.
How are AI companions different from ordinary chatbots?
AI companion systems are designed or used for continuing social-emotional interaction and companionship. Many ordinary chatbots are designed primarily for tasks such as search, support, productivity, or information retrieval. A task-oriented chatbot can still become relational through repeated use, but it is not automatically an AI companion.
Can AI relationships replace human relationships?
They can substitute for some functions of human relationships in some users, but the evidence does not support a universal replacement model. AI can supplement, mediate, coexist with, or displace parts of human connection. Outcomes depend on the user, the relationship function, intensity of use, system design, and offline social context.
Is it normal to feel attached to AI?
Attachment-like experiences toward AI are now documented in peer-reviewed research and measured with emerging scales. Feeling attached does not by itself indicate a disorder. What matters clinically is broader distress, impairment, functioning, and context.
Is an AI relationship the same as being in love with AI?
No. Human–AI relationship is a broad category. Romantic love is one possible form. Other relationships may be practical, collaborative, advisory, companionate, confiding, or attachment-like without being romantic.
Does calling it a relationship mean the AI is conscious?
No. “Relationship” can describe the continuing interaction and the human psychological experience. It does not establish AI consciousness, subjective feeling, desire, love, suffering, or humanlike understanding.
For the broader field map of mechanisms, evidence, classical theory, and Postsubjective Psychology, see Psychology of Human–AI Relationships: Attachment, Projection, Intimacy, and the Postsubjective Turn.
Related Articles
References
Croes, E. A. J., Antheunis, M. L., van der Lee, C., & de Wit, J. M. S. (2024). Digital Confessions: The willingness to disclose intimate information to a chatbot and its impact on emotional well-being. Interacting with Computers, 36(5), 279–292. https://doi.org/10.1093/iwc/iwae016
Folk, D., Heine, S. J., & Dunn, E. (2025). Individual differences in anthropomorphism help explain social connection to AI companions. Scientific Reports, 15, 36548. https://doi.org/10.1038/s41598-025-19212-2
Gur, T., & Maaravi, Y. (2025). The algorithm of friendship: Literature review and integrative model of relationships between humans and artificial intelligence (AI). Behaviour & Information Technology, 44(14), 3446–3466. https://doi.org/10.1080/0144929X.2025.2502467
Ho, J. Q. H., Hu, M., Chen, T. X., & Hartanto, A. (2025). Potential and pitfalls of romantic Artificial Intelligence (AI) companions: A systematic review. Computers in Human Behavior Reports, 19, 100715. https://doi.org/10.1016/j.chbr.2025.100715
Horton, D., & Wohl, R. R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry, 19(3), 215–229. https://doi.org/10.1080/00332747.1956.11023049
Kasturiratna, K. T. A. S., & Hartanto, A. (2026). Attachment to artificial intelligence: Development of the AI Attachment Scale, construct validation, and the psychological mechanisms of Human–AI attachment. Computers in Human Behavior Reports, 21, 100912. https://doi.org/10.1016/j.chbr.2025.100912
Liang, Q., & Ollier-Malaterre, A. (2026). Intimacy with Socially Interactive AI: Humans’ preferences between physical robots and virtual agents in different types of relationships. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2026.2676759
Oh, Y. J., Hu, J. M., Zhu, R., Lim, J. I., & Zhang, X. (2026). Artificial Intelligence chatbots as relational agents: A systematic review of human–AI chatbot relationships. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2026.2648799
Pentina, I., Xie, T., Hancock, T., & Bailey, A. A. (2023). Consumer–machine relationships in the age of artificial intelligence: Systematic literature review and research directions. Psychology & Marketing, 40(8), 1593–1614. https://doi.org/10.1002/mar.21853
Yang, F., & Oshio, A. (2025). Using attachment theory to conceptualize and measure the experiences in human-AI relationships. Current Psychology, 44, 10658–10669. https://doi.org/10.1007/s12144-025-07917-6
Zhang, R., & Xie, L. (2026). The fragility of AI companionship: Ontological, structural, and normative uncertainty in human-AI relationships. International Journal of Human-Computer Studies, 216, 103897. https://doi.org/10.1016/j.ijhcs.2026.103897
Zhang, Y., Zhao, D., Hancock, J. T., Kraut, R., & Yang, D. (2026). Interaction with AI companions and psychological well-being. Nature Human Behaviour. https://doi.org/10.1038/s41562-026-02516-2