IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/swe7n_v1.html
   My bibliography  Save this paper

The future of unpaid work: Estimating the effects of automation on time spent on housework and care work in Japan and the UK

Author

Listed:
  • Hertog, Ekaterina Prof.

    (University of Oxford)

  • Fukuda, Setsuya
  • Matsukura, Rikiya
  • Nagase, Nobuko
  • Lehdonvirta, Vili

Abstract

Unpaid household work is vital for human reproduction and enables all other forms of work. However, debates about the “future of work” have yet to address unpaid work. In this article, we present first estimates of the impacts of “smart” and “AI” technologies on unpaid work. We ask what the likelihood is of various types of unpaid work being automated, and how this would change the time spent on domestic work and on the gendered division of labour. To achieve this, we adapt three established automation likelihood estimates for paid work occupations to estimate the automation likelihood of 19 unpaid work tasks. Applying these estimates to Japanese and UK national time use data, we find that 50-60% of the total time spent on unpaid work could be saved through automation. The savings are unevenly distributed: a woman aged 20-59 in Japan could save over 1,000 hours per year, whereas men in the UK could save 600 hours and men in Japan only 250 hours. Domestic automation could free up to 9.3% of women in Japan and 5.8% of women in the UK to take up full- or part-time employment, pointing to substantial potential economic and social gains from domestic automation.

Suggested Citation

  • Hertog, Ekaterina Prof. & Fukuda, Setsuya & Matsukura, Rikiya & Nagase, Nobuko & Lehdonvirta, Vili, 2022. "The future of unpaid work: Estimating the effects of automation on time spent on housework and care work in Japan and the UK," SocArXiv swe7n_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:swe7n_v1
    DOI: 10.31219/osf.io/swe7n_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/6204282abbff570b85bab075/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/swe7n_v1?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

    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:osf:socarx:swe7n_v1. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.