<p>A systematic bibliometric review was conducted at the intersection of artificial intelligence and entrepreneurial education. The primary goals were to describe the landscape of artificial intelligence and entrepreneurial education research, suggest a synergistic framework for future research paths, and identify unexplored conceptual and methodological potential. VOSviewer and Biblioshiny software were used to extract data and analyze research articles from the Web of Science and Scopus databases. This enabled the identification of the most influential authors, institutions, countries, journals, and themes within the scientific discourse. The results of the analysis show that, based on the number of publications and citations, China emerged as the most productive and influential contributor. In addition, this study identified four main thematic clusters that reflect current research orientations: entrepreneur education, artificial intelligence, education, and deep learning. The study also highlights artificial intelligence-based adaptive learning models, literacy, artificial intelligence ethics and governance, creativity and entrepreneurial ideation, and deep learning-based predictive models for intelligent learning systems. The development of more adaptive, ethical, predictive, and inquisitive entrepreneurial competencies can be achieved through the close integration of AI, GenAI, and deep learning. This study offers valuable insights into the current state of artificial intelligence in educational entrepreneurship, providing strategic guidance for scientists, researchers, and policymakers in shaping future research and education policy agendas.</p>