The rapid advancement of Generative AI (GenAI) has sparked discussions about its potential impact on various sectors, including management education. This qualitative study explores the motivators and demotivators influencing the adoption of GenAI tools by management educators in India. Semi-structured interviews were conducted with ten academicians from top-ranked Indian business schools to gain insights into their perspectives and experiences. Thematic analysis of the interview data revealed six main themes: Initial Engagement & Motivation, Benefits & Positive Impacts, Challenges & Demotivators, Classroom Dynamics & Student Interaction, Support & Training, and Future Outlook & Ethical Considerations. The findings suggest that personalized learning, enhanced student engagement, and reduced administrative burdens are key motivators for educators to incorporate GenAI into their teaching practices. However, the lack of adequate training, high implementation costs, and ethical concerns regarding data privacy and fairness emerge as significant demotivators. The study highlights the need for comprehensive training programs, ongoing technical support, and clear ethical guidelines to facilitate the effective integration of GenAI in management education. The results contribute to the growing body of literature on GenAI in education by providing contextually grounded evidence from the Indian management education perspective. The study emphasizes the importance of adopting a balanced approach that prioritizes human-AI collaboration to harness the benefits of GenAI while mitigating associated risks. Future research should explore student perceptions, conduct cross-cultural comparisons, and investigate the long-term impact of GenAI on learning outcomes and academic integrity.