Artificial Intelligence (AI) and Machine Learning (ML) are becoming deeply embedded in how students learn and generate ideas. Rather than acting as simple tools, they are now drivers of creativity and innovation. For aspiring entrepreneurs, engaging with these technologies can inspire new business ideas and approaches. However, little is known about how students actually perceive and apply AI and ML in developing entrepreneurial skills. This study explores that question by examining students’ familiarity, beliefs, and concerns surrounding AI/ML through a structured survey. The findings provide insights into the influence of technological understanding on entrepreneurial development. Students generally demonstrated a modest understanding of ML and AI, yet expressed confidence in how these technologies could enhance both their learning and entrepreneurial abilities. Students in technical majors, such as IT and engineering, were more assured in their belief that AI has real-world applications in entrepreneurship. However, ethical concerns (40%) and technical challenges (35%) indicate significant barriers. Moreover, female students, particularly those in advanced academic years, showed a stronger conviction in AI’s ability to support entrepreneurial development than their peers, with mean scores of 3.6 for 2nd-year females and 3.9 for 4th-year females, exceeding the overall mean of 3.5. The obtained results suggest that both gender and the level of academic experience influence how students perceive AI’s role in building entrepreneurial capacity.
El-Salhi et al. (Fri,) studied this question.
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