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  • Articles and reports: 11F0019M2020015
    Description:

    Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.

    Release date: 2020-09-24

  • Stats in brief: 11-627-M2019058
    Description: This infographic presents the 2017 portrait of the Environmental and Clean Technology jobs in Canada. It displays data per workers characteristics (education, age, and gender), and per jobs characteristics (wage and occupation).
    Release date: 2019-08-19
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  • Articles and reports: 11F0019M2020015
    Description:

    Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.

    Release date: 2020-09-24

  • Stats in brief: 11-627-M2019058
    Description: This infographic presents the 2017 portrait of the Environmental and Clean Technology jobs in Canada. It displays data per workers characteristics (education, age, and gender), and per jobs characteristics (wage and occupation).
    Release date: 2019-08-19
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