Abstract
We present a framework for understanding the effects of automation and other types of technological changes on labor demand, and use it to interpret changes in US employment over the recent past. At the center of our framework is the task content of production. Automation, which enables capital to replace labor in tasks it was previously engaged in, shifts the task content of production against labor because of a displacement effect. As a result, automation always reduces the labor share in value added (of an industry or economy) and may also reduce labor demand even as it raises productivity. The effects of automation are counterbalanced by the creation of new tasks in which labor has a comparative advantage. The introduction of new tasks changes the task content of production in favor of labor because of a reinstatement effect, and always raises the labor share and labor demand. We show how the role of changes in the task content of production—due to automation and new tasks—can be inferred from industry-level data. Our empirical decomposition suggests that the slower growth of employment over the last three decades is accounted for by an acceleration in the displacement effect, especially in manufacturing, a weaker reinstatement effect, and slower growth of productivity than in previous decades.
Keywords
automation; displacement effect; labor demand; inequality; productivity; reinstatement effect; tasks; technology; wages.;
JEL codes
- J23: Labor Demand
- J24: Human Capital • Skills • Occupational Choice • Labor Productivity
Reference
Pascual Restrepo, and Daron Acemoglu, “Automation and New Tasks: The Implications of the Task Content of Production for Labor Demand”, TNIT working paper, November 2018.
See also
Published in
TNIT working paper, November 2018