For whom the bell tolls: The firm-level effects of automation on wage and gender inequality

Giacomo Domini, Marco Grazzi, Daniele Moschella () and Tania Treibich

Research Policy, 2022, vol. 51, issue 7

Abstract: This paper investigates the impact of investment in automation- and AI-related goods on within-firm wage inequality in the French economy during the 2002–2017 period. We document that most wage inequality in France is accounted for by differences among workers belonging to the same firm rather than by differences between sectors, firms, and occupations. Using an event-study approach on a sample of firms importing automation- and AI-related goods, we find that spike events related to the adoption of automation- and AI-related capital goods are not followed by an increase in within-firm wage inequality or in gender wage inequality. Instead, wages increase by 1% three years after the events at different percentiles of the distribution. Our findings are not linked to the rent-sharing behavior of firms obtaining productivity gains from automation and AI adoption. Instead, if wage gains do not differ across workers along the wage distribution, worker heterogeneity will still be present. Indeed, in agreement with the framework in Abowd et al. (1999b), most of the overall wage increase is due to the hiring of new employees. This adds to previous findings presenting a picture of a ‘labor friendly’ effect of the latest wave of new technologies within adopting firms.

Keywords: Automation; AI; Wage inequality; Gender pay gap (search for similar items in EconPapers)
JEL-codes: D25 J16 J31 L25 O33 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Related works:
Working Paper: For Whom the Bell Tolls: The Firm-Level Effects of Automation on Wage and Gender Inequality (2021)
Working Paper: For whom the bell tolls: the firm-level effects of automation on wage and gender inequality (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:51:y:2022:i:7:s0048733322000592

DOI: 10.1016/j.respol.2022.104533

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