Job-Related Anxiety in the Age of Artificial Intelligence: A Systematic Review of Workplace Dynamics

Athia Tri Rizkina; Helga Graciani Hidajat; Ika Andrini Farida

doi:10.55927/fjmr.v4i8.416

Authors

Athia Tri Rizkina Universitas Negeri Malang
Helga Graciani Hidajat Universitas Negeri Malang
Ika Andrini Farida Universitas Negeri Malang

DOI:

https://doi.org/10.55927/fjmr.v4i8.416

Keywords:

Anxiety, Artificial Intelligence, Systematic Review

Abstract

Artificial intelligence (AI) is a major driver of transformation in various industrial sectors and the world of work. AI is known for its efficiency, innovation, and productivity, which make human work easier. Behind these benefits, AI has the potential to hinder careers, such as job loss due to role changes and job insecurity. This condition can trigger psychosocial stress among workers and employees, such as job-related anxiety. This study employs the Systematic Literature Review (SLR) method, guided by the PRISMA framework, to identify, extract data, analyze, and synthesize results to gain a more comprehensive and in-depth understanding of work-related anxiety in the AI era. Literature searches were conducted through Google Scholar, PubMed, and Scopus between 2020 and 2025, yielding 32 articles that met the inclusion criteria. The analysis results indicate that AI presents complex psychosocial challenges for workers and employees, particularly work-related anxiety manifested in various forms, such as technology anxiety, artificial intelligence anxiety, job replacement anxiety, job insecurity, and future anxiety. Collaborative efforts between employees, managers, and organizations or companies can be undertaken to minimize the negative impacts of AI implementation.

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