 Machines augmenting entrepreneurs: Opportunities (and threats) at the Nexus of artificial intelligence and entrepreneurshipDean A. Shepherd and Ann Majchrzak Journal of Business Venturing, 2022, vol. 37, issue 4 Abstract: Artificial intelligence (AI) refers to machines that are trained to perform tasks associated with human intelligence, interpret external data, learn from that external data, and use that learning to flexibly adapt to tasks to achieve specific outcomes. This paper briefly explains AI and looks into the future to highlight some of AI's broader and longer-term societal implications. We propose that AI can be combined with entrepreneurship to represent a super tool. Scholars can research the nexus of AI and entrepreneurship to explore the possibilities of this potential AI-entrepreneurship super tool and hopefully direct its use to productive processes and outcomes. We focus on specific entrepreneurship topics that benefit from AI's augmentation potential and acknowledge implications for entrepreneurship's dark side. We hope this paper stimulates future research at the AI-entrepreneurship nexus. Keywords: Artificial intelligence; Machine learning; Entrepreneurship; Decision making (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jbvent:v:37:y:2022:i:4:s0883902622000398 DOI: 10.1016/j.jbusvent.2022.106227 Access Statistics for this article Journal of Business Venturing is currently edited by S. Venkataraman More articles in Journal of Business Venturing from Elsevier |
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