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The impacts of companion AI on human relationships: risks, benefits, and design considerations
Open accessAbstract
AI applications intended for companionship have increased in both availability and capabilities in recent years, alongside a spike in loneliness (Johnson 2023 ; Murthy 2023 ). According to a 2024 analysis by venture capital firm Andreessen Horowitz, companion AI makes up 16 of the top 100 AI apps based on web traffic and monthly active users (Moore 2024 ). Moreover, today’s AI applications have a greater command of human language, an increasing capacity for storing memories, and more varied modalities to support an increasing diversity of experiences, a known driver in the development and deepening of emotional relationships (Skjuve et al. 2022 ).
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“A substantial body of work examines attachment dysfunction, social withdrawal, unrealistic relational expectations, and the potential for manipulation in human-AI relationships (Turkle, 2011; Malfacini, 2025; Zhou & Zhang, 2025).”
From Intimate Strangers by Design: A Uses and Gratifications Analysis of AI Companionship (2026) · cites this paper as Malfacini, 2025
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“A substantial body of scholarship has identified this asymmetry as a mechanism through which AI companions may foster unrealistic relational expectations, displace effortful human intimacy, and normalize one-sided emotional dynamics (Turkle, 2011; Malfacini, 2025; Yankouskaya et al., 2025).”
From Intimate Strangers by Design: A Uses and Gratifications Analysis of AI Companionship (2026) · cites this paper as Malfacini, 2025
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“since AI companions are endlessly patient, attentive, and always available, this may lead users to expect (unrealistically) the same in humans (Malfacini, 2025).”
From Are Attributions of Consciousness to AI Chatbots Epistemically Innocent? (2026) · cites this paper as Malfacini, 2025
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“This misalignment matters because youth may interpret simulated empathy and relational cues as genuine, which can increase emotional dependence and blur boundaries between real and artificial relationships [72, 86, 148].”
From Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives (2026) · cites this paper as [86]
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Metadata
- Authors
- Malfacini, K.
- Affiliations
- OpenAI (United States) (US)
- Corresponding author
- Malfacini, Kim
- Venue
- AI & SOCIETY
- Published
- 2025-04-16
- Volume
- 40
- Issue
- 7
- Pages
- 5527-5540
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- OpenAlex
- W4409502783
- Cited by
- 105
- References
- 63
- Citations by year
- 2026: 93 · 2025: 12
- FWCI
- 116.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- AI & Society (publishedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- AI companions, social robots, human-robot relationships, loneliness, human-AI interaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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