Artificial Intelligence in E-Entrepreneurship Training

This study explored the integration of artificial intelligence (AI) in e-entrepreneurship education, focusing on its impact on personalized learning, skill development, and student engagement. Using the diffusion of innovations framework, it examined factors influencing AI adoption, including infrastructure, educator preparedness, and ethical concerns. Through semi-structured interviews with Gen Z learners and focus groups with educators and AI technologists, the research identified key challenges—AI complexity, resistance to change, and data privacy. The study demonstrated that AI tools, such as personalized learning systems and business simulations, enhance entrepreneurial training by providing adaptive learning and real-time feedback. It concluded with policy recommendations to ensure inclusive access, especially for underserved entrepreneurs and contributes to understanding AI's transformative potential in bridging Indonesia's digital skills gap.