Conceptual review demonstrates theoretical fragmentation across artificial intelligence research in entrepreneurship, highlighting critical challenges in construct validity and contextual relevance.
The integration of artificial intelligence (AI) into entrepreneurial processes necessitates a rethinking of entrepreneurship research. Whilst research widely acknowledges the potential of AI to enhance entrepreneurial processes, the theoretical implications remain fragmented. Emerging scholarly responses to the disruptions posed by AI appear to cluster around three interdependent views: tools-based, philosophical, and practice-based. Whilst each lens offers valuable insights, taken together, these perspectives highlight a set of conceptual challenges (alignment, ephemerality, constructs limitations, inclusivity, and contextual relevance) that remain underexplored and underscore the frontier for reimagining entrepreneurship research in the age of intelligent technologies.
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Imiren et al. (2026) studied this question.
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