IDEAS home Printed from https://ideas.repec.org/a/sae/millen/v17y2026i2p345-369.html

Do Automation and Robotization Affect Occupation in India? An Empirical Study

Author

Listed:
  • Anjali Bansal
  • S. P. Singh
  • P. C. Mohanty
  • Jaspal Singh

Abstract

Technology is reshaping the occupational landscape. Technological adoption has accelerated in the last few years with the increasing use of robots and automation. However, only a few pieces of literature are available that discuss how robotization and automation would change the world of work. In India, hardly any empirical research discusses the risk of robots and automation in occupations. The article estimates the industrial robot density in the manufacturing sector in India for the period 2011–2012 to 2020–2021. It also observes the workforce distribution changes by industry and occupation for the same period. Further combining the O*Net data with the Employment and Unemployment Survey data and Periodic Labour Force Survey for 2011–2012 and 2020–2021, respectively, constructs the composite index of risk of automation (RoA). The RoA index scores reveal that between 2011–2012 and 2020–2021, the automation risk in all jobs in India has increased and the risk intensity varies across occupations and industries.

Suggested Citation

  • Anjali Bansal & S. P. Singh & P. C. Mohanty & Jaspal Singh, 2026. "Do Automation and Robotization Affect Occupation in India? An Empirical Study," Millennial Asia, , vol. 17(2), pages 345-369, June.
    • Handle: RePEc:sae:millen:v:17:y:2026:i:2:p:345-369
    DOI: 10.1177/09763996241231835
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/09763996241231835
    Download Restriction: no
    File URL: https://libkey.io/10.1177/09763996241231835?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:sae:millen:v:17:y:2026:i:2:p:345-369. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: SAGE Publications (email available below). General contact details of provider: .

    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.