The Implementation of Artificial Intelligence and Its Impact on Stress, Anxiety, and Burnout Levels Among Managers and Professors

Cajnko, Petra; Cajnko, Kaja

The Implementation of Artificial Intelligence and Its Impact on Stress, Anxiety, and Burnout Levels Among Managers and Professors

James Alexander Gordon on 12th October 2024

Abstract

The increasing adoption of artificial intelligence (AI) in various industries has led to significant shifts in workplace dynamics, posing unique challenges to mental well-being, particularly among managerial and academic professionals. This study investigates the effects of AI implementation on stress, anxiety, and burnout levels among managers in corporate settings and professors in educational institutions. By focusing on these two influential groups, the research highlights how the complexities introduced by AI can variably impact their mental health. Employing a quantitative methodology, we conducted a survey to measure the levels of stress, anxiety, and burnout associated with AI adoption. Regression models were used to analyze the relationship between AI usage and mental health outcomes, offering a statistically robust insight into how AI influences well-being. The results indicate elevated stress and anxiety levels among managers, attributed to the amplified complexity and expectations of AI-related tasks. Among professors, the findings reveal a notable increase in burnout, especially due to the demands of integrating AI into teaching and research environments, as well as the pressure to keep pace with technological advancements. This study will provide actionable strategies to alleviate stress and burnout, including targeted training, structured support systems, and modifications in task allocation to optimize the positive potential of AI without compromising mental health. Through these insights, we aim to contribute practical recommendations to enhance the well-being of managers and professors, ultimately facilitating a balanced integration of AI in the workplace.