AI Job substitution risks, digital self-efficacy and mental health among employees

Abstract Objective AI becomes increasingly integrated into the workplace, its associated job substitution risks for employees are more evident, resulting in significant repercussions for their well-being. This study tries to elucidate the effects of AI-driven job substitution risks on employees' mental health. Methods Data was collected through questionnaires and structural equation modeling was used to analyze the relationships between variables. Results The job substitution risk of AI and Digital self-efficacy can positively influence job insecurity, which in turn adversely affects mental health. And job substitution risks of AI can amplify the negative impact of digital self-efficacy on job insecurity. Conclusions it provides an in-depth exploration of the specific processes and mechanisms through which AI-driven job substitution impacts employees' mental health. Practically, it offers insights for the implementation of AI and strategies to safeguard employee mental health.