Artificial intelligence applications in entrepreneurship and online education: insights from bibliometric and topic modeling analyses

Introduction The convergence of AI, entrepreneurship, and online education has accelerated, yet their intersection remains under-mapped. Methods We analyzed 489 peer-reviewed articles (2010–2024) from Scopus and Web of Science using Bibliometrix for bibliometrics and LDA topic modeling (Gensim/pyLDAvis). Results Five thematic clusters emerged; “Teaching and Pedagogical Innovations” and “Innovative Learning Models & Entrepreneurship” were most prominent. China, the UK, and the US were leading contributors. Topic trajectories show rising emphasis on AI-enabled pedagogy and digital integration. Discussion The dual bibliometric–semantic approach reveals underexplored themes and actionable directions for digital entrepreneurship and AI-enhanced education, informing policy and institutional strategy.