ORIGINAL RESEARCH article
Front. Psychol.
Sec. Psychology of Aging
This article is part of the Research TopicConversational Artificial Intelligence Application in Advancing Mental Health and Well-Being for Older AdultsView all 4 articles
The potential impacts of regional Artificial Intelligence development on depressive symptoms in older adults: Evidence from China
Provisionally accepted
- 1Renmin University of China, Beijing, China
- 2Northeast Forestry University, Harbin, China
- 3Chinese Academy of Agricultural Sciences, Beijing, China
- 4Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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Depression is increasingly prevalent among older adults worldwide, exacerbated in the post-pandemic era and driven by aging populations, economic strain, and quality-of-life declines. In China, these factors contribute significantly to arise in depression among this demographic. Meanwhile, Artificial Intelligence (AI) shows growing promise in mental health management, potentially offering valuable tools to mitigate depression. This study examines AI's capacity to alleviate depressive symptoms in older adults from a macroeconomic perspective, particularly in aging societies like China and other developing nations. Using data from the China Health and Retirement Longitudinal Study (CHARLS) spanning 2011–2020,employ a two-way fixed-effects model to empirically analyze AI's impact on depression in this demographic. Our results indicate a significant negative association between AI development and depressive symptoms among older 2 adults. Mediation analysis reveals that macroeconomic factors, such as increased Internet access, robot application density, and investment in science and technology, and micro-level factors, like life satisfaction and cognitive function, contribute to AI's beneficial impact on mental health. While our findings are robust, limitations include data constraints and the need for further exploration of specific AI applications on depression outcomes. Future research could focus on interdisciplinary approaches integrating AI with psychomedical technologies, emphasizing support for vulnerable groups, including those in rural or under-resourced areas, and fostering public awareness and accessibility of AI health tools.
Keywords: artificial intelligence, depressive symptoms, heterogeneity, older adults, Two-way fixed effect
Received: 06 Jan 2026; Accepted: 03 Feb 2026.
Copyright: © 2026 Wan, Liang, Ding, Tang and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yong Tang
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