Artificial Intelligence in Entrepreneurship Education: A Catalyst for Innovation, Personalization, and Growth

Abstract

This study investigates the role of Artificial Intelligence (AI) integration in entrepreneurship education, focusing on its influence on entrepreneurial innovation and growth through the mediating effect of personalized learning and the moderating role of student technological readiness and acceptance. Using data from 220 students at Pakistani universities, this research also used methods like Structural Equation Modeling and regression analyses. Despite theoretical support, none of the five hypothesized relationships (H1–H5) were statistically significant, indicating that AI integration alone does not directly impact entrepreneurial outcomes in this context. Limited exposure among students to these AI tools and this being early days in Pakistan may be an explanation for results like that. The study emphasizes the need for digital infrastructure, curriculum reforms, and educator training to unlock AI’s potential in entrepreneurship education. It enriches literature by rigorously testing and refining a broad framework of ideas, and at the same time, it gives policy prescriptions for how to make personalized learning arrangements better and more efficient in smaller countries. Future research directions include longitudinal and experimental studies.