Artificial Intelligence, Labor, Productivity, and the Need for Firm-Level DataManav Raj, Robert Seamans
Chapter in NBER book The Economics of Artificial Intelligence: An Agenda (2019), Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors (p. 553 - 565) We summarize existing empirical findings regarding the adoption of robotics and AI and its effects on aggregated labor and productivity, and argue for more systematic collection of the use of these technologies at the firm level. Existing empirical work primarily examines robotics rather than AI, and uses statistics aggregated by industry or country, which precludes in-depth studies regarding the conditions under which these technologies complement or substitute for labor. Further, firm-level data would also allow for studies of effects on firms of different sizes, the role of market structure in technology adoption, the impact on entrepreneurs and innovators, and the effect on regional economies amongst others. We highlight several ways that such firm-level data could be collected and used by academics, policymakers and other researchers. This chapter is no longer available for free download, since the book has been published. To obtain a copy, you must buy the book.Order from Amazon.com
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