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Industry 4.0 and Future of Work in India

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  • Balwant Singh Mehta
  • Ishwar Chandra Awasthi

Abstract

Jobless growth turning into job-loss growth and the recent evidence suggest that unemployment rate has shot off multiple times and the situation for educated youth, in particular, has become more severe. The situation is likely to worsen with emerging industry 4.0 technologies which are more skill-based and capital intensive in nature. The challenge is further compounded in the light of growing additions to labour force and inability to provide them suitable jobs. The inevitability of job losses with onslaught industry 4.0 technologies is likely to have big impact but much larger in the longer term. The evidences shows that pace of replacement of existing technologies is slower and selective in India and therefore the impact will be discernible in select sectors but it is going to proliferate in near future and that will demand new forms of knowledge, skills and competencies. In the emerging scenario, some occupation will die and others will emerge in newer forms. Clearly, this paper suggest that threatening of jobs is inescapable but this will require training-retraining of people in the newer forms of skills that is critical policy challenge to the government and other stakeholders such as companies and other employers.

Suggested Citation

  • Balwant Singh Mehta & Ishwar Chandra Awasthi, 2019. "Industry 4.0 and Future of Work in India," FIIB Business Review, , vol. 8(1), pages 9-16, March.
    • Handle: RePEc:sae:fbbsrw:v:8:y:2019:i:1:p:9-16
    DOI: 10.1177/2319714519830489
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    References listed on IDEAS

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    1. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    2. Ghose, Ajit K., 2016. "India Employment Report 2016: Challenges and the Imperative of Manufacturing-Led Growth," OUP Catalogue, Oxford University Press, number 9780199472574.
    3. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    4. Dev Nathan & Neetu Ahmed, 2018. "Technological Change and Employment: Creative Destruction," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(2), pages 281-298, June.
    5. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    6. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    7. Nathan, Dev. & Ahmed, Neetu., 2018. "Technological change and employment creative destruction," ILO Working Papers 994980893502676, International Labour Organization.
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