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Future Shock? The Impact of Automation on Canada’s Labour Market

Author

Listed:
  • Matthias Oschinski

    (PwC LLP)

  • Rosalie Wyonch

    (C.D. Howe Institute)

Abstract

Throughout history, technological change has helped lift people out of squalor and poverty, raised standards of living and improved well-being. Technological change, however, can also be disruptive – rendering specific occupations and skills obsolete, unsettling economic structures and contributing to unemployment and economic uncertainty. Innovation is a driving factor of productivity and economic growth, but increasing productivity means that fewer people are needed to produce the same amount of goods. The increasing pace of technological change has led some to speculate that, in the digital era, technology might destroy old jobs faster than new ones are created. Job losses can occur, however, only if innovation outstrips growth in demand for new products and services. As well, the potential for automation does not necessarily translate into actual automation: the decision to automate depends on factors such as firm size, competitive pressure and the cost of a machine versus the cost of human labour. This Commentary assesses the impact of technological change on Canada’s labour market over the past 30 years and highlights its implications for the near future. If the past is any guide, a continuation of gradual changes can be expected in the demand for skills in the labour force. This is a natural market reaction to technological change. There is unlikely to be a drastic shift in employment due to automation in the near future, although some industries and types of occupations will be more disrupted than others. Here, public policy could both encourage automation and prepare the workforce for the transition. Key findings are as follows: • It is very unlikely that employment in occupations highly susceptible to automation (35 percent of Canada’s employment) will be completely replaced by smart machines over the next few years. • Canadian employment is concentrated in industries that have a low risk of automation, with industries where less than a quarter of the jobs are susceptible to automation accounting for 27.5 percent of total employment (4.9 million jobs). Industries where more than three-quarters of the jobs are at high risk of automation account for only 1.7 percent of employment (310,000 jobs). This implies that Canada’s diversified economy and labour force are well positioned to adapt to rapid technological change. • Occupations high in abstract, complex-decision-making skills with a strong focus on creativity, critical thinking and interpersonal social skills have a relatively low risk of being automated. An increase in demand for these skills is likely over the near and medium term. • As the rate of technological progress increases and digitization permeates different occupations and industries, technical job-specific skills might become obsolete relatively quickly. This indicates a need to increase opportunities for continuous education and lifelong learning. Educational institutions such as colleges, technical schools and apprenticeship programs likely will have an expanded role over the lifecycle of employment as people learn to adapt to changing conditions.

Suggested Citation

  • Matthias Oschinski & Rosalie Wyonch, 2017. "Future Shock? The Impact of Automation on Canada’s Labour Market," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 472, March.
  • Handle: RePEc:cdh:commen:472
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    References listed on IDEAS

    as
    1. David A. Green & Benjamin M. Sand, 2015. "Has the Canadian labour market polarized?," Canadian Journal of Economics, Canadian Economics Association, vol. 48(2), pages 612-646, May.
    2. Peter Howitt, 2015. "Mushrooms and Yeast: The Implications of Technological Progress for Canada's Economic Growth," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 433, September.
    3. A. Rainer & R. Strohmaier, 2014. "Modeling the diffusion of general purpose technologies in an evolutionary multi-sector framework," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(3), pages 425-444, August.
    4. Lipsey, Richard G. & Carlaw, Kenneth I. & Bekar, Clifford T., 2005. "Economic Transformations: General Purpose Technologies and Long-Term Economic Growth," OUP Catalogue, Oxford University Press, number 9780199290895, Decembrie.
    5. Daron Acemoglu & Pascual Restrepo, 2016. "The Race Between Machine and Man: Implications of Technology for Growth, Factor Shares and Employment," NBER Working Papers 22252, National Bureau of Economic Research, Inc.
    6. Anton A. Cheremukhin, 2014. "Middle-skill jobs lost in U.S. labor market polarization," Economic Letter, Federal Reserve Bank of Dallas, vol. 9(5), pages 1-4, May.
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    Cited by:

    1. Wang, Chengzhang & Zheng, Min & Bai, Xiaoming & Li, Youwei & Shen, Wei, 2023. "Future of jobs in China under the impact of artificial intelligence," Finance Research Letters, Elsevier, vol. 55(PA).
    2. Búi K Petersen & James Chowhan & Gordon B Cooke & Ray Gosine & Peter J Warrian, 2023. "Automation and the future of work: An intersectional study of the role of human capital, income, gender and visible minority status," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(3), pages 703-727, August.

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    More about this item

    Keywords

    Education; Skills and Labour Market;

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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