Potential impacts by gender, age, education

ID

499237

Description
PwC analysis highlights significant differences across types of workers and these will also vary across our three waves of automation (see chart below). The starkest results are those by education level, with much lower exposures on average for highly educated workers with graduate degrees or above, than for those with low to medium education levels.
Caption
The impacts of three overlapping waves of automation to the 2030s are examined in a new report published today by PwC: the algorithm wave, the augmentation wave and the autonomy wave. The research analysed the tasks and skills involved in the jobs of over 200,000 workers across 29 countries in order to assess the potential impact of automation on workers in different industry sectors and of different genders, ages and education levels.PwC analysis highlights significant differences across types of workers and these will also vary across our three waves of automation (see chart below). The starkest results are those by education level, with much lower exposures on average for highly educated workers with graduate degrees or above, than for those with low to medium education levels.
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Contacts

  • Rowena Mearley
    Senior Manager, Global Communications
    United Kingdom
    + 44 207 213 4727
    + 44 7952 715739