AI Job Substitution Risks, Digital Self-efficacy and Mental Health Among Employees

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.