AI Anxiety: A Comprehensive Analysis of Psychological Factors and Interventions

Synthesis: AI Anxiety: A Comprehensive Analysis — Kim et al. define AI Anxiety as the feelings of apprehension or fear stemming from the accelerated development of AI technologies, and provide a wide-ranging review of its psychological underpinnings and proposed interventions. They distinguish AI Anxiety from earlier Automation Anxiety, identify the fear of replacement by AI as the primary contributor (alongside uncontrolled AI growth, Privacy concerns, AI-generated misinformation, and AI biases), and propose multidisciplinary educational, technological, regulatory, and ethical solutions.

This review positions AI Anxiety as a distinct psychological phenomenon — broader than the learner-facing test anxiety studied in educational settings, and anchored in existential/career concerns about AI displacing human roles. It is the theoretical backbone for the knowledge base's Anxiety and Stress concept.

Key Contributions

• AI Anxiety vs. Automation Anxiety. Earlier automation anxiety centered on the replacement of manual and repetitive tasks, largely confined to industries like manufacturing and agriculture. AI Anxiety differs because AI threatens cognitive and professional roles — including job displacement and the obfuscation of human roles — producing distinct psychological impacts.
• Primary cause: fear of replacement. The central driver is the fear of being replaced by AI, extending into career and professional identity.
• Secondary causes: uncontrolled AI growth, privacy concerns, AI-generated misinformation, and AI biases — each amplifying apprehension.
• Interventions are multidisciplinary: educational (e.g. AI Literacy, which is associated with more positive attitudes toward AI), technological, regulatory, and ethical guidelines.

What this means for practice

• Instructors. Take AI anxiety seriously as a distinct psychological phenomenon spanning career, Privacy, misinformation, and bias concerns, rather than reading student apprehension as ordinary classroom nerves or simple technophobia.
• Instructors. Teach AI Literacy and give students direct experience working with AI: greater knowledge about AI and higher computer use are associated with more positive attitudes and lower anxiety.
• Researchers. Prioritize the fear of replacement — the primary driver identified here — and test coping strategies, since the review finds a current dearth of research into effective anxiety-reduction interventions.
• Administrators. Pair educational responses with AI Governance and regulatory and ethical guidelines, because the review attributes AI anxiety partly to uncontrolled growth and unaccountable systems that curricula alone cannot address.

Limitations

• This is an analytical review with no stated search strategy, databases, or inclusion criteria, so it cannot establish the prevalence of AI anxiety or the magnitude of any effect.
• The authors acknowledge the analysis "may not be fully comprehensive," because perspectives on AI and its societal implications shift as the technology advances.
• Its intervention proposals — educational, technological, regulatory, and ethical — are recommendations rather than tested programs, and the review itself notes the thin evidence base for coping mechanisms.
• The link between AI literacy and lower anxiety rests on reported associations among knowledge, computer use, and attitudes rather than trial evidence, so the design cannot support causal claims.

Citation

Kim, J. J. H., Soh, J., Kadkol, S., Solomon, I., Yeh, H., Srivatsa, A. V., Nahass, G. R., Choi, J. Y., Lee, S., Nyugen, T., & Ajilore, O. (2025). AI Anxiety: A Comprehensive Analysis of Psychological Factors and Interventions. AI and Ethics, 5(4), 3993–4009.