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The disruptive potential of artificial intelligence (AI) technologies involves creating new entrepreneurial opportunities and reshaping the entrepreneurial process. The impact of AI technologies on entrepreneurial activity is also reflected in an explosive level of research interest, leading to the fragmentation of existing studies. This phenomenon makes generating a comprehensive and systematic overview challenging. This paper reviews the existing research on the application of AI-based technologies in entrepreneurial practice. Specifically, it conducts a hybrid literature review, analyzing 345 articles from peer-reviewed journals. It identifies the main contributions to the field; the conceptual, social, and intellectual structures; and the leading themes addressed to date. Despite growing interest in the field, this study concludes that most academic research on the subject has been superficial. This study proposes future lines of research based on the antecedents, decisions, and outcomes (ADO) and the theories, contexts, and methods (TCM) frameworks.
Uriarte et al. (Fri,) studied this question.