Evidence map›Paper›PMID 41737018›Full record

ArticleChild development perspectives2026

AI companions and adolescent social relationships: Benefits, risks, and bidirectional influences.

Xiaoran Sun, Yunqi Wang, Brandon T McDaniel

Abstract read
In one paragraph

Article in Child development perspectives, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Educating minds with generative AI.Communications psychology · 2026
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xiaoran SunDepartment of Family Social Science, University of Minnesota, Twin Cities, MN, United States.
Yunqi WangDepartment of Family Social Science, University of Minnesota, Twin Cities, MN, United States.
Brandon T McDanielHealth Services and Informatics Research, Parkview Mirro Center for Research and Innovation, Fort Wayne, IN, United States.

Funding

Adolescents' Social Media Management Strategies: Bidirectional Links to Objective Social Media Use and Mental Health OutcomesR01MH138929 · NIMH · UNIVERSITY OF MINNESOTA · PI Xiaoran Sun · 2024 to 2026
$2.0M
NIMH NIH HHS R01 MH138929
6 · The paper itself

Abstract

AI companions (AI-Cs)-rapidly emerging conversational agents built on large language models that can provide personalized humanlike companionship-create unprecedented opportunities for adolescents to form emotional bonds with nonhuman entities during a critical period for social development. In this article, we discuss the interplay between adolescents' use of AI-Cs and their social relationships based on theoretical hypotheses driving research on digital communication and adolescent well-being. We explore the benefits and risks of AI-Cs to social development based on the stimulation hypothesis and the displacement hypothesis: AI-Cs can provide safe spaces for identity exploration and emotional expression, potentially building skills that transfer to human relationships; however, concerns about AI-Cs include time displacement, psychological dependence, and unrealistic relationship expectations. We also address how adolescents' social relationships may drive their AI-C use, based on the social enhancement hypothesis and the social compensation hypothesis. Our discussion draws on studies of adolescents and adults in the United States and in other countries. We offer recommendations for research in this area, which deserves urgent investigation as these technologies advance rapidly.

Indexed as

adolescent developmentAI companionsartificial intelligence (AI)bidirectional influencessocial relationship

Identifiers

PMID41737018
PMCPMC12928748

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.