Entrepreneurship Ex Machina: Transformative Artificial Intelligence for Theory and Practice

artificial intelligence entrepreneurship transformative ai theory building entrepreneurial practice

Entrepreneurship Theory and Practice

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Éditeurs invités

  • Martin Obschonka, University of Amsterdam
  • Moren Lévesque, York University
  • Frédéric Ooms, HEC Liège
  • Jeffrey M. Pollack, NC State University
  • Denis A. Grégoire, HEC Montréal
  • Tara S. Behrend, Michigan State University
  • Boris Nikolaev, Colorado State University

Synthèse

Transformative Artificial Intelligence (AI) — that is, the use of AI tools that have such inherent capabilities that they could induce societal transitions similar to that of the agricultural or industrial revolutions — has become an omnipresent topic of interest. Because these tools offer order-of-magnitude efficiency improvements over prior ways of performing various human tasks, important research opportunities arise for better understanding their transformative impact.

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Thèmes proposés

  • Theorizing on algorithmic entrepreneurship
  • Mechanisms of external enablement of entrepreneurship via AI (e.g., generative AI)
  • Can AI help reduce the destructive aspects of entrepreneurship (e.g., societal and personal costs)?
  • Can AI create resource abundance, overcoming typical entrepreneurial resource scarcity and challenging leading startup methods (e.g., effectuation/bricolage, bootstrapping, lean startup)?
  • Do classic research findings and theories (e.g., on the role of knowledge and human and social capital in entrepreneurship) still hold in the new AI era?
  • How can AI impact entrepreneurial finance (e.g., AI-powered financial planning for entrepreneurs, VC investment portfolio management and decisions) and resource acquisition (e.g., entrepreneurs' pitch preparation, investors' due diligence, etc.)?
  • Does AI change the age curve associated with entrepreneurship (does it replace the advantage of industry experience, and do we therefore see an AI-empowered rise of youth entrepreneurs)?
  • How can AI contribute to equality and diversity (e.g., neurodiversity, closing the gender gap)?
  • Ethical and legal issues of algorithmic entrepreneurship and AI-supported research
  • How can AI support entrepreneurs' cognition, decision making, and psychological well-being?
  • Will the emerging AI economy of abundance replace entrepreneurship/human entrepreneurs?