<![CDATA[This study presents a comprehensive bibliometric analysis of the intersection between Artificial Intelligence (AI) and entrepreneurship, aiming to map its intellectual structure and global research trends from 2005 to 2025. Utilizing 878 peer-reviewed articles from the Scopus database, the research employs R-Biblioshiny to conduct citation, co-citation, co-author, and bibliographic coupling analyses. The findings reveal an exponential surge in publications, highlighting a strategic shift toward AI-enhanced entrepreneurial education and digital business models, particularly in emerging economies like China and India. Despite this rapid growth, the literature remains fragmented, with critical gaps in ethical AI governance, seamless human-AI integration, and methodological consistency. To address these limitations, this study proposes the integration of the Antecedents, Decisions, and Outcomes (ADO) and Theories, Contexts, and Methods (TCM) frameworks to guide future interdisciplinary research. Ultimately, this paper provides actionable implications for business leaders, policymakers, and educators to harness AI's transformative potential responsibly, fostering innovation, scalability, and sustainable entrepreneurial ecosystems in the modern digital era.]]>
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