On this page

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 AI 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.

Implications

  • For AI Anxiety And Stress: provides the theoretical framing that AI anxiety is a real, growing psychological phenomenon with identifiable causes — not merely a classroom affect — and that it spans career, privacy, misinformation, and bias domains.
  • For education: frames AI Literacy as a key intervention — increased knowledge about AI and higher computer use are associated with more positive attitudes toward AI and reduced anxiety.
  • For policy: argues for Governance and regulatory and ethical guidelines to mitigate AI anxiety as society enters the era of pervasive AI.

Connected Concepts

Connected Articles

Citation

Kim, J. J. H., Soh, J. Y., Kadkol, S., Solomon, I., Yeh, H., Srivatsa, A. V., Nahass, G., Choi, J. Y., Lee, S., & Ajilore, O. (n.d.). AI Anxiety: A Comprehensive Analysis of Psychological Factors and Interventions. Manuscript/preprint.