Document Type
Article
Publication Date
6-2022
ISSN
0048-7333
Publisher
Elsevier
Language
en-US
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 that startups with access to proprietary training data are more likely to acquire venture capital funding.
Recommended Citation
James Bessen, Stephen M. Impink, Lydia Reichensperger & Robert Seamans,
The Role of Data for AI Startup Growth
,
in
51
Research Policy
50
(2022).
Available at:
https://doi.org/https://doi-org.ezproxy.bu.edu/10.1016/j.respol.2022.104513
Included in
Growth and Development Commons, Industrial Organization Commons, Labor Economics Commons, Law Commons
