APPLYING PLURIDISCIPLINARITY IN ASSESSING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON EMPLOYMENT

Abstract

The rapid integration of Artificial Intelligence (AI) technologies across industries has raised questions about its impact on employment, particularly in terms of job displacement, creation, and transformation. This paper explores the role of pluridisciplinary approaches in understanding the multifaceted effects of AI on the labor market. By synthesizing insights from economics, sociology, engineering, psychology, and political science, this study aims to provide a comprehensive perspective on how AI is reshaping employment patterns, skills demand, and workforce dynamics. The paper discusses both the positive and negative implications of AI-driven automation, as well as strategies for mitigating adverse outcomes and maximizing the benefits of AI for workers. The integration of multiple disciplines offers a more holistic understanding of AI’s influence on employment, emphasizing the need for cross-sector collaboration in addressing the challenges and opportunities it presents.