Robots and Firms
Open accessAbstract
We study the microeconomic implications of robot adoption using a rich panel data set of Spanish manufacturing firms over a 27-year period (1990–2016). We provide causal evidence on two central questions: (1) Which firm characteristics prompt firms to adopt robots? (2) What is the impact of robots on adopting firms relative to non-adopting firms? To address these questions, we look at our data through the lens of recent attempts in the literature to formalise the implications of robot technology. As for the first question, we establish robust evidence for positive selection, i.e., ex ante better performing firms (measured through output and labour productivity) are more likely to adopt robots. On the other hand, conditional on size, ex ante more skill-intensive firms are less likely to do so. As for the second question, we find that robot adoption generates substantial output gains in the vicinity of 20–25% within four years, reduces the labour cost share by 5–7% points, and leads to net job creation at a rate of 10%. These results are robust to controlling for non-random selection into robot adoption through a difference-in-differences approach combined with a propensity score reweighting estimator. To further validate these results, we also offer structural estimates of total factor productivity (TFP) where robot technology enters the (endogenous) productivity process of firms. The results demonstrate a positive causal effect of robots on productivity as well as a complementarity between robots and exporting in boosting productivity.
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Koch, Manuylov, and Smolka (2021) show that on firm level, robot adoption leads to output gains and net job creation within adopters, but substantial job losses at nonadopters.
“Koch, Manuylov, and Smolka (2021) show that on firm level, robot adoption leads to output gains and net job creation within adopters, but substantial job losses at nonadopters.”
From Labor Market Consequences of Generative AI: Early Evidence from Norway (2026) · cites this paper as Koch et al., 2021
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Artificial Intelligence and Jobs: Evidence from Online Vacancies
Acemoglu, D., Autor, D., Hazell, J., & Restrepo, P. (2022) · Journal of Labor Economics · doi:10.1086/718327 · Cited by 1,193 · see citing works
Labor Market Consequences of Generative AI: Early Evidence from Norway
Facius, D., & Iacono, R. (2026) · CESifo Working Papers · doi:10.65864/8a4auliirt
- Authors
- Koch, M., Manuylov, I., & Smolka, M.
- Affiliations
- Aarhus University (DK)
- Europa-Universität Flensburg (DE)
- Corresponding author
- Koch, Michael
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-01-30
- Volume
- 131
- Issue
- 638
- Pages
- 2553-2584
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W3126711410
- Cited by
- 452
- References
- 7
- Citations by year
- 2026: 102 · 2025: 120 · 2024: 109 · 2023: 72 · 2022: 39 · 2021: 5 · 2020: 3 · 2019: 1 · 2018: 1
- FWCI
- 42.86
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- The Economic Journal (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Keywords
- robot adoption, automation, manufacturing companies, firm selection, labor productivity, total factor productivity, job creation, skill intensity, exporting, Spanish manufacturing
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