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Gender, Technology, and the Future of Work

Author

Listed:
  • Mariya Brussevich
  • Ms. Era Dabla-Norris
  • Christine Kamunge
  • Pooja Karnane
  • Salma Khalid
  • Ms. Kalpana Kochhar

Abstract

New technologies?digitalization, artificial intelligence, and machine learning?are changing the way work gets done at an unprecedented rate. Helping people adapt to a fast-changing world of work and ameliorating its deleterious impacts will be the defining challenge of our time. What are the gender implications of this changing nature of work? How vulnerable are women’s jobs to risk of displacement by technology? What policies are needed to ensure that technological change supports a closing, and not a widening, of gender gaps? This SDN finds that women, on average, perform more routine tasks than men across all sectors and occupations?tasks that are most prone to automation. Given the current state of technology, we estimate that 26 million female jobs in 30 countries (28 OECD member countries, Cyprus, and Singapore) are at a high risk of being displaced by technology (i.e., facing higher than 70 percent likelihood of being automated) within the next two decades. Female workers face a higher risk of automation compared to male workers (11 percent of the female workforce, relative to 9 percent of the male workforce), albeit with significant heterogeneity across sectors and countries. Less well-educated and older female workers (aged 40 and above), as well as those in low-skill clerical, service, and sales positions are disproportionately exposed to automation. Extrapolating our results, we find that around 180 million female jobs are at high risk of being displaced globally. Policies are needed to endow women with required skills; close gender gaps in leadership positions; bridge digital gender divide (as ongoing digital transformation could confer greater flexibility in work, benefiting women); ease transitions for older and low-skilled female workers.

Suggested Citation

  • Mariya Brussevich & Ms. Era Dabla-Norris & Christine Kamunge & Pooja Karnane & Salma Khalid & Ms. Kalpana Kochhar, 2018. "Gender, Technology, and the Future of Work," IMF Staff Discussion Notes 2018/007, International Monetary Fund.
  • Handle: RePEc:imf:imfsdn:2018/007
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    Citations

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    Cited by:

    1. Julie MacLeavy, 2021. "Care work, gender inequality and technological advancement in the age of COVID‐19," Gender, Work and Organization, Wiley Blackwell, vol. 28(1), pages 138-154, January.
    2. Ilona Pavlenkova & Luca Alfieri & Jaan Masso, 2024. "Effects of automation on the gender pay gap: the case of Estonia," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 33(3), pages 584-608.
    3. Verdin, Rachel & O'Reilly, Jacqueline, 2021. "A gender agenda for the future of work in a digital age of pandemics: Jobs, skills and contracts," WSI Studies 24, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    4. Guendalina Anzolin, 2021. "Automation and its Employment Effects: A Literature Review of Automotive and Garment Sectors," JRC Working Papers on Labour, Education and Technology 2021-16, Joint Research Centre.
    5. Abeliansky, Ana & Algur, Eda & Bloom, David E. & Prettner, Klaus, 2020. "The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation," IZA Discussion Papers 12962, Institute of Labor Economics (IZA).
    6. Eusebio Lasa Altuna & Aratz Soto Gorrotxategi, 2021. "Innovación Social Transformadora frente al capitalismo neoliberal," Revista de Economía Crítica, Asociación de Economía Crítica, vol. 31, pages 19-34.
    7. Zuazu-Bermejo, Izaskun, 2022. "Robots and women in manufacturing employment," ifso working paper series 19, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    8. Sorgner, Alina, 2021. "Gender and Industrialization: Developments and Trends in the Context of Developing Countries," IZA Discussion Papers 14160, Institute of Labor Economics (IZA).
    9. Andreas Eder & Wolfgang Koller & Bernhard Mahlberg, 2022. "Economy 4.0: employment effects by occupation, industry, and gender," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(4), pages 1063-1088, November.
    10. Egana-delSol, Pablo & Bustelo, Monserrat & Ripani, Laura & Soler, Nicolas & Viollaz, Mariana, 2022. "Automation in Latin America: Are Women at Higher Risk of Losing Their Jobs?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    11. Egana-delSol, Pablo & Cruz, Gabriel & Micco, Alejandro, 2022. "COVID-19 and automation in a developing economy: Evidence from Chile," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    12. Aksoy, Cevat Giray & Özcan, Berkay & Philipp, Julia, 2021. "Robots and the gender pay gap in Europe," European Economic Review, Elsevier, vol. 134(C).
    13. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
    14. Ebeke, Christian H. & Eklou, Kodjovi M., 2023. "Automation and the employment elasticity of fiscal policy," Journal of Macroeconomics, Elsevier, vol. 75(C).
    15. Tussyadiah, Iis, 2020. "A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism," Annals of Tourism Research, Elsevier, vol. 81(C).
    16. Ana M. González Ramos & José María García-de-Diego, 2022. "Work–Life Balance and Teleworking: Lessons Learned during the Pandemic on Gender Role Transformation and Self-Reported Well-Being," IJERPH, MDPI, vol. 19(14), pages 1-12, July.
    17. Casas, Pablo & Román, Concepción, 2023. "Early retired or automatized? Evidence from the survey of health, ageing and retirement in Europe," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
    18. Sheba Tejani & Sakiko Fukuda-Parr, 2021. "Gender and Covid-19: Workers in global value chains," Working Papers 2104, New School for Social Research, Department of Economics.

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