Artificial Intelligence and Burnout among Professionals: The Moderating Role of Cognitive Efficacy

Abstract

The increasing integration of the artificial intelligence (AI) into the professional environments has transformed the work processes while the raising concerns about the employee well being and the burnout. This study aimed to examine a relationship between the AI usage and a burnout with particular focus on moderating role of the cognitive efficacy among the clinical and organizational professionals. A quantitative cross-sectional research design was employed. A total of 180 professionals participated in the study, including 100 clinical and 80 organizational professionals selected through purposive sampling based on their exposure to AI tools in the workplace. Standardized measures, including the Maslach Burnout Inventory, a Cognitive Efficacy Scale, and an AI Usage Intensity Scale, were administered via an online survey. Data were analyzed using Pearson correlation, multiple regression, and moderation analysis. Results indicated that AI usage significantly predicted burnout, whereas cognitive efficacy was negatively associated with burnout. Furthermore, cognitive efficacy significantly moderated the relationship between AI usage and burnout, such that individuals with higher cognitive efficacy reported lower levels of burnout despite increased AI engagement. Additionally, clinical professionals demonstrated higher levels of emotional exhaustion compared to their organizational counterparts. The findings highlight dual impact of the AI as both a job demand or resource, emphasizing the protective role of cognitive efficacy. Implications for organizational training and psychological resilience interventions are discussed.

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