Leadership, Culture, and Employee Wellbeing in Dealing with Artificial Intelligence and Its Complexities: Effects on Mental Health in the Workplace

Abstract

The rapid integration of artificial intelligence (AI) into modern U.S. workplaces presents unprecedented challenges and opportunities for employee mental health and wellbeing. This comprehensive review examines the intricate relationships between leadership practices, organizational culture, and employee psychological wellbeing as organizations navigate AI adoption and its complexities. Drawing from extensive research spanning organizational psychology, technology management, and occupational health, this article synthesizes findings on how AI-driven workplace transformations affect psychological safety, job burnout, role clarity, and employee stress. The analysis reveals that leadership behaviors and organizational culture serve as critical mediators between AI implementation and employee mental health outcomes, with psychological safety emerging as a fundamental prerequisite for successful AI integration. The Job Demands-Resources model provides a valuable framework for understanding how AI-related workplace changes contribute to both wellbeing and burnout. Evidence suggests that proactive, human-centered approaches to AI adoption, when properly implemented with strong leadership support, can significantly improve employee mental health outcomes. However, significant challenges remain in managing AI-related anxieties, skill displacement concerns, algorithmic management stress, and the ethical complexities of AI-augmented work environments.