AI in Decision Making: Implications for Management Education

The integration of artificial intelligence (AI) into business decision-making is transforming organizational structures and management practices, with significant implications for management education. This paper explores these implications through a structured narrative review of existing literature and critical analysis of current practices. It presents a brief historical overview of AI and traces its growing role in decision-making processes, highlighting its evolving influence on management education. The study examines key implications for management education, including the need to prioritize technical competencies, prepare students for effective human–AI collaboration, promote multidisciplinary learning, emphasize ethical development, and encourage lifelong learning. It also identifies major challenges such as curriculum redesign, faculty availability and expertise, resource limitations, and increasing competition from emerging education providers. The paper argues that addressing these challenges requires strong institutional commitment, coordinated efforts, strategic investment, and collaborative partnerships. By offering insights into both opportunities and constraints, this study contributes to the ongoing discourse on the future of management education in the context of rapid AI adoption in business decision-making.