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The Impact of AI Exposure on Job Insecurity, Employee Morale, and the Moderating Role of Emotional Intelligence

DOI: 10.4236/oalib.1113672, PP. 1-19

Subject Areas: Artificial Intelligence

Keywords: Artificial Intelligence, Job Insecurity, Employee Morale, Emotional Intelligence, Workforce Adaptation

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Abstract

This study explores the psychological impacts of artificial intelligence (AI) exposure to job insecurity and employee morale, with a specific focus on the moderating role of emotional intelligence (EI). The integration of AI technologies in the workplace has drastically altered job dynamics, leading to heightened fears of job loss among employees. This research aims to understand how these changes affect employees’ emotional and psychological states, particularly in terms of perceived job insecurity and overall morale. Employing a quantitative research design, the study utilized structured surveys to collect data from 140 participants across various sectors, resulting in 125 valid responses after data cleaning. The research assessed the relationships between AI exposure, job insecurity, employee morale, and emotional intelligence using established measurement scales. Statistical analyses, including regression and correlation analyses, were conducted to evaluate the hypotheses. The findings reveal that increased exposure to AI significantly correlates with heightened perceptions of job insecurity, subsequently leading to a decline in employee morale. Furthermore, the study indicates that employees with higher emotional intelligence are better equipped to manage the stress associated with job insecurity, effectively mitigating its negative impacts on morale. Specifically, emotional intelligence serves as a protective factor, allowing individuals to maintain a positive outlook and commitment to their roles even in the face of uncertainty.

Cite this paper

Mukhatayeva, A. (2025). The Impact of AI Exposure on Job Insecurity, Employee Morale, and the Moderating Role of Emotional Intelligence. Open Access Library Journal, 12, e3672. doi: http://dx.doi.org/10.4236/oalib.1113672.

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