Problematic Reliance on Generative AI in an Anxious Young Adult: Case Report

Abstract Generative AI tools are increasingly being integrated into daily life, offering cognitive support across domains such as writing, decision-making, and social interpretation. While beneficial, excessive reliance on such tools may contribute to diminished confidence in one’s own thinking. This report describes a woman in her mid-20s with generalized anxiety disorder and major depressive disorder who developed a pattern of functional dependence on generative AI tools—specifically ChatGPT (OpenAI). She historically had strong social, academic, and occupational functioning. Psychiatric consultation did not suggest the presence of a personality disorder, and although she was a high-achieving individual, clinically significant perfectionistic traits were not evident. Despite this, she increasingly relied on AI for routine cognitive and interpersonal tasks, including composing emails, interpreting social interactions, predicting the future, and making decisions, and she felt increasingly uncomfortable completing such tasks independently. This case highlights the potential danger of generative AI tools in reassurance-seeking behavior and how their use might compound anxiety. These behaviors were observed across both professional and personal contexts, suggesting that the patient’s AI use was not limited to task-specific assistance but reflected a generalized strategy for managing uncertainty and self-doubt. In this case, this behavioral pattern was characterized by cognitive offloading, reduced confidence in independent judgment, and reinforcement of externalized thinking processes, which led to the subjective belief of declining skill and compromised functional autonomy. The Interaction of Person-Affect-Cognition-Execution (I-PACE) model was used to describe this pattern of behavior. While repeatedly turning to a family member or friend for validation and reassurance might lead to interpersonal fatigue, using AI tools for this purpose has no such limits, and the tools are infinitely accessible. This might ultimately worsen a patient’s ability to tolerate uncertainty. Given the ubiquity of AI tools and the prevalence of anxiety disorders, clinicians may need to be aware of the role AI tools could potentially play in reassurance seeking and thus the perpetuation of anxiety.

Authors

Publication Details

Journal
JMIR Formative Research
Published
2026-09-16
DOI
https://doi.org/10.2196/98297
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Problematic Reliance on Generative AI in an Anxious Young Adult: Case Report

Sarah Armstrong
JMIR Formative Research
Artificial Intelligence in Healthcare and Education
article

Problematic Reliance on Generative AI in an Anxious Young Adult: Case Report

Sarah Armstrong
article en

Abstract

Abstract Generative AI tools are increasingly being integrated into daily life, offering cognitive support across domains such as writing, decision-making, and social interpretation. While beneficial, excessive reliance on such tools may contribute to diminished confidence in one’s own thinking. This report describes a woman in her mid-20s with generalized anxiety disorder and major depressive disorder who developed a pattern of functional dependence on generative AI tools—specifically ChatGPT (OpenAI). She historically had strong social, academic, and occupational functioning. Psychiatric consultation did not suggest the presence of a personality disorder, and although she was a high-achieving individual, clinically significant perfectionistic traits were not evident. Despite this, she increasingly relied on AI for routine cognitive and interpersonal tasks, including composing emails, interpreting social interactions, predicting the future, and making decisions, and she felt increasingly uncomfortable completing such tasks independently. This case highlights the potential danger of generative AI tools in reassurance-seeking behavior and how their use might compound anxiety. These behaviors were observed across both professional and personal contexts, suggesting that the patient’s AI use was not limited to task-specific assistance but reflected a generalized strategy for managing uncertainty and self-doubt. In this case, this behavioral pattern was characterized by cognitive offloading, reduced confidence in independent judgment, and reinforcement of externalized thinking processes, which led to the subjective belief of declining skill and compromised functional autonomy. The Interaction of Person-Affect-Cognition-Execution (I-PACE) model was used to describe this pattern of behavior. While repeatedly turning to a family member or friend for validation and reassurance might lead to interpersonal fatigue, using AI tools for this purpose has no such limits, and the tools are infinitely accessible. This might ultimately worsen a patient’s ability to tolerate uncertainty. Given the ubiquity of AI tools and the prevalence of anxiety disorders, clinicians may need to be aware of the role AI tools could potentially play in reassurance seeking and thus the perpetuation of anxiety.

JMIR Formative ResearchVol. 10
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Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
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Problematic Reliance on Generative AI in an Anxious Young Adult: Case Report — Sarah Armstrong · JMIR Formative Research (2026) | TGRS Research Map | TGRS