The role of data for AI startup growth

James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Artificial intelligence (AI)-enabled products are expected to drive economic growth. Training data are important for firms developing AI-enabled products; without training data, firms cannot develop or refine their algorithms. This is particularly the case for AI startups developing new algorithms and products. However, there is no consensus in the literature on which aspects of training data are most important. Using unique survey data of AI startups, we find a positive correlation between having proprietary training data and obtaining future venture capital funding. Moreover, this correlation is greater for startups in markets where data is a major advantage and for startups using more sophisticated algorithms, such as neural networks and ensemble learning.

    Original languageEnglish (US)
    Article number104513
    JournalResearch Policy
    Volume51
    Issue number5
    DOIs
    StatePublished - Jun 2022

    Keywords

    • Algorithms
    • Artificial intelligence
    • Competition
    • Data
    • Venture capital

    ASJC Scopus subject areas

    • Strategy and Management
    • Management Science and Operations Research
    • Management of Technology and Innovation

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