Automation: Theory, Evidence, and Outlook

Working Paper: NBER ID: w31910

Authors: Pascual Restrepo

Abstract: This article reviews the literature on automation and its impact on labor markets, wages, factor shares, and productivity. I first introduce the task model and explain why this framework offers a compelling way to think about recent labor market trends and the effects of automation technologies. The task model clarifies that automation technologies operate by substituting capital for labor in a widening range of tasks. This substitution reduces costs, creating a positive productivity effect, but also reduces employment opportunities for workers displaced from automated tasks, creating a negative displacement effect. I survey the empirical literature and conclude that there is wide qualitative support for the implications of task models and the displacement effects of automation. I conclude by discussing shortcomings of the existing literature and avenues for future research.

Keywords: Automation; Labor Markets; Wages; Productivity

JEL Codes: E24; J20


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
automation technologies (O33)productivity effect (O49)
automation technologies (O33)displacement effect (F16)
automation technologies (O33)decrease in labor share in adopting firms (J29)
adopting firms (G34)reduction in labor shares (E25)
automation adoption (O31)shifts in workforce composition (J21)
automation (L23)negative impacts on employment (F66)

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