AI, Labor, Productivity and the Need for Firm-Level Data / Robert Seamans, Manav Raj.

Format:

Book

Author/Creator:

Seamans, Robert.

Contributor:

National Bureau of Economic Research.

Raj, Manav.

Series:

Working Paper Series (National Bureau of Economic Research) no. w24239.

NBER working paper series no. w24239

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2018.

Summary:

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 uses statistics aggregated by industry or country, which precludes in-depth studies regarding the conditions under which robotics and AI complement or are substituting 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.

Notes:

Print version record

January 2018.