IDEAS home Printed from https://ideas.repec.org/a/fip/fedfel/101566.html

Will Trade Uncertainty Boost Automation?

Author

Abstract

Recent surges in trade policy uncertainty highlight the fragility of global supply chains, prompting businesses to consider reshoring—moving production from abroad to domestic locations. Reshoring can be costly, creating incentives for businesses to automate. Evidence suggests that businesses facing heightened trade policy uncertainty in industries more exposed to international trade reshore more and automate more than those that are less exposed to trade. Automation appears to help mitigate the otherwise negative effects of trade policy uncertainty on production and labor productivity.

Suggested Citation

  • Deepika Baskar Prabhakar & Hamid Firooz & Sylvain Leduc & Zheng Liu, 2025. "Will Trade Uncertainty Boost Automation?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2025(20), pages 1-6, September.
  • Handle: RePEc:fip:fedfel:101566
    as

    Download full text from publisher

    File URL: https://www.frbsf.org/wp-content/uploads/el2025-20.pdf
    File Function: Full text - article PDF
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Gary W. Anderson & David N. Beede & Catherine Buffington & Eric E. Childress & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John Haltiwanger & Zachary Kroff & Pascual Restre, 2024. "Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey," NBER Chapters, in: Technology, Productivity, and Economic Growth, pages 13-55, National Bureau of Economic Research, Inc.
    2. Faber, Marius, 2020. "Robots and reshoring: Evidence from Mexican labor markets," Journal of International Economics, Elsevier, vol. 127(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2024. "Robots, occupations, and worker age: A production-unit analysis of employment," European Economic Review, Elsevier, vol. 170(C).
    2. Erik Brynjolfsson & Catherine Buffington & Nathan Goldschlag & J. Frank Li & Javier Miranda & Robert Seamans, 2023. "The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments," Jena Economics Research Papers 2023-014, Friedrich-Schiller-University Jena.
    3. Firooz, Hamid & Leduc, Sylvain & Liu, Zheng, 2025. "Reshoring, automation, and labor markets under trade uncertainty," Journal of International Economics, Elsevier, vol. 156(C).
    4. Chen, Xiaoxiao & Yang, Jiayi & Wu, Bo, 2025. "How is artificial intelligence shaping the labor demand of firms? ——evidence from text-mining analysis of listed companies," Telecommunications Policy, Elsevier, vol. 49(10).
    5. Faber, Marius & Kilic, Kemal & Kozliakov, Gleb & Marin, Dalia, 2025. "Global value chains in a world of uncertainty and automation," Journal of International Economics, Elsevier, vol. 155(C).
    6. Wang, Jiaxin & Zhao, Mu & Huang, Xiang & Song, Zilong & Sun, Di, 2024. "Supply chain diffusion mechanisms for AI applications: A perspective on audit pricing," International Review of Financial Analysis, Elsevier, vol. 93(C).
    7. Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," LEM Papers Series 2024/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Zhang, Qi-nan & Zhang, Fan-fan & Mai, Qiang, 2023. "Robot adoption and labor demand: A new interpretation from external competition," Technology in Society, Elsevier, vol. 74(C).
    9. Leoni Alewell & Pia Heckl, 2025. "Gendered Labor Market Responses to Increased Import Competition," EconPol Policy Brief 69, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    10. Battisti & M. Del Gatto & A. Gravina & C. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    11. Wang, Linlin & Liu, Chun & Liu, Ding & Zhang, Yi, 2025. "Beyond jobs and wages: The hidden cost of automation on corporate social security contributions," International Review of Financial Analysis, Elsevier, vol. 106(C).
    12. Andreas Baur & Lisandra Flach & Isabella Gourevich & Florian Unger, 2023. "North-South Trade: The Impact of Robotization," CESifo Working Paper Series 10865, CESifo.
    13. Zhou, Yuwen & Shi, Xin, 2025. "How does digital technology adoption affect corporate employment? Evidence from China," Economic Modelling, Elsevier, vol. 147(C).
    14. Mann, Katja & Pozzoli, Dario, 2024. "Robots and immigration," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    15. Kuson Leawsakul, 2026. "Robots, trade and production networks: the role of robots in shaping trade competitiveness in East Asia," International Journal of Economic Policy Studies, Springer, vol. 20(1), pages 25-53, February.
    16. Diaz Pavez, Luis R. & Martínez-Zarzoso, Inmaculada, 2021. "The impact of local and foreign automation on labor market outcomes in emerging countries," University of Göttingen Working Papers in Economics 423, University of Goettingen, Department of Economics.
    17. Gan, Jiawu & Liu, Lihua & Qiao, Gang & Zhang, Qin, 2023. "The role of robot adoption in green innovation: Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
    18. Ghodsi, Mahdi & Stehrer, Robert & Barišić, Antea, 2024. "Assessing the impact of new technologies on wages and labour income shares," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    19. Wang, Ting & Zhang, Yi & Liu, Chun, 2024. "Robot adoption and employment adjustment: Firm-level evidence from China," China Economic Review, Elsevier, vol. 84(C).
    20. Pinheiro, Alexandra & Sochirca, Elena & Afonso, Oscar & Neves, Pedro Cunha, 2023. "Automation and off(re)shoring: A meta-regression analysis," International Journal of Production Economics, Elsevier, vol. 264(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedfel:101566. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Federal Reserve Bank of San Francisco Research Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbsfus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.