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  1. Concentrating intelligence: scaling and market structure in artificial intelligence
    Author: Korinek, Anton; Vipra, Jai
    Published: [2024]
    Publisher:  Institute for New Economic Thinking, New York, NY

    Access:
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    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 919
    Inter-library loan:
    No inter-library loan
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: Working paper / Institute for New Economic Thinking ; no. 228
    Subjects: Artificial Intelligence; economic concentration; vertical integration; AI regulation
    Scope: 1 Online-Ressource (circa 32 Seiten), Illustrationen
    Notes:

    An earlier version of this paper was circulated under the title "Market Concentration Implications of Foundation Models: The Invisible Hand of ChatGPT."
  2. Artificial intelligence and entrepreneurship
    Author: Fossen, Frank M.; McLemore, Trevor; Sorgner, Alina
    Published: June 2024
    Publisher:  IZA - Institute of Labor Economics, Bonn, Germany

    This survey reviews emerging but fast-growing literature on impacts of artificial intelligence (AI) on entrepreneurship, providing a resource for researchers in entrepreneurship and neighboring disciplines. We begin with a review of definitions of AI... more

    Access:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 4
    Inter-library loan:
    No inter-library loan

     

    This survey reviews emerging but fast-growing literature on impacts of artificial intelligence (AI) on entrepreneurship, providing a resource for researchers in entrepreneurship and neighboring disciplines. We begin with a review of definitions of AI and show that ambiguity and broadness of definitions adopted in empirical studies may result in obscured evidence on impacts of AI on en-trepreneurship. Against this background, we present and discuss existing theory and evidence on how AI technologies affect entrepreneurial opportunities and decision-making under uncertainty, the adoption of AI technologies by startups, entry barriers, and the performance of entrepreneurial businesses. We add an original empirical analysis of survey data from the German Socio-economic Panel revealing that entrepreneurs, particularly those with employees, are aware of and use AI technologies significantly more frequently than paid employees. Next, we discuss how AI may affect entrepreneurship indirectly through impacting local and sectoral labor markets. The reviewed evidence suggests that AI technologies that are designed to automate jobs are likely to result in a higher level of necessity entrepreneurship in a region, whereas AI technologies that transform jobs without necessarily displacing human workers increase the level of opportunity entrepreneurship. More generally, AI impacts regional entrepreneurship ecosystems (EE) in multiple ways by altering the importance of existing EE elements and processes, creating new ones, and potentially reducing the role of geography for entrepreneurship. Lastly, we address the question of how regulation of AI may affect the entrepreneurship landscape by focusing on the case of the European Union that has pioneered data protection and AI legislation. We conclude our survey by discussing implications for entrepreneurship research and policy.

     
    Export to reference management software   RIS file
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/300951
    Series: Discussion paper series / IZA ; no. 17055
    Subjects: artificial intelligence; machine learning; entrepreneurship; AI startups; digital entrepreneurship; opportunity; innovation; entrepreneurship ecosystem; digital entrepreneurship ecosystem; AI regulation
    Scope: 1 Online-Ressource (circa 123 Seiten), Illustrationen