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Burnout at the workplace is a serious threat to society, work productivity, health, and organisational sustainability. Artificial Intelligence (AI) adoption in the workplace can potentially deliver efficiency-enhancing effects in the form of automation and decision support; however, it also brings about new forms of stress, such as cognitive overload, job insecurity, and degradation of the work-life balance. In this review, recent literature has been synthesised to discuss the twofold nature of AI in affecting employee burnout, considering the theories Job Demands-Resources (JD-R) model and the Conservation of Resources (COR) theory. Results have also shown that AI can eliminate redundancy, increase flexibility, and enhance skills, helping alleviate some burnout risks. Nonetheless, improper implementation, a lack of role clarity, and uncaring support of employees may increase stress and emotional burnout. The review highlights that the proactive policies towards organisations, including resilience training, constant upskilling, and workload distribution, can potentially protect the employees’ well-being. It is essential to consider those factors to enhance the advantages of AI and simultaneously avoid an escalation of its unintended contribution to job burnout.
Artificial Intelligence (AI), Employee Wellbeing, Job Burnout, Digital Workplace