IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-811-0_77.html

A Review Study on the Formation Factors of AI Anxiety and Its Impact on Employees

In: Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025)

Author

Listed:
  • Keer Ding

    (GuiZhou University of Finance and Economics)

Abstract

With the rapid advancement of artificial intelligence (AI) technology, employees are increasingly experiencing “AI anxiety,” a multidimensional psychological phenomenon encompassing concerns about job displacement, skill obsolescence, and ethical dilemmas. This study aims to systematically analyze the formative factors of AI anxiety and its psychological and behavioral impacts on employees by integrating four dimensions: technological, occupational, psychological, and sociocultural. Through a literature review, the research reveals that AI anxiety arises from the interplay of job threats, technological complexity, individual psychological traits, and sociocultural contexts, exhibiting a dual-edged effect. On one hand, it may trigger negative outcomes such as diminished self-efficacy and inhibited innovation; on the other hand, it can activate positive mechanisms like adaptive behaviors and enhanced psychological capital. The findings emphasize that organizations should mitigate anxiety through measures such as training and psychological support while channeling it into a driver for innovation, thereby providing a scientific basis for management practices.

Suggested Citation

  • Keer Ding, 2025. "A Review Study on the Formation Factors of AI Anxiety and Its Impact on Employees," Advances in Economics, Business and Management Research, in: Prasad Siba Borah & Norhayati Zakuan & Nazimah Hussin & Azlina Binti Md Yassin (ed.), Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025), pages 738-744, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-811-0_77
    DOI: 10.2991/978-94-6463-811-0_77
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-811-0_77. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.