About This Report
Technology adoption in the labour market will only continue to intensify. But how businesses and workers use technology—and to what degree—stands to play a central role in our capacity to innovate successfully and grow the Canadian economy across new and legacy industries.
In previous research covering automation in Ontario, we cautioned against a dual challenge where businesses are hesitant to adopt new technologies known to improve productivity and competitiveness. At the same time, firms that adopt them can significantly disrupt workers’ income and well-being.
Our latest report, Further and Further Away: Canada’s unrealized digital potential, expands on the dual challenge in two ways: First, we examine patterns of change in tech work and productivity in a 15-year study period. We then identified the degree of participation exclusion and pay inequity across selected identities, including race, sex, education level, and immigration status.
The report’s results overwhelmingly show that Canada must improve in nurturing, developing, and using our digital talent. Pay gaps and the continued marginalization of participation in tech work have revealed that those who create and use technologies in Canada do not represent those who live and work here. Without their participation, we risk missing out on valuable insights, talent, and experience that can shape future technologies.
Read this report to help you:
- Identify inequities in tech worker participation and remuneration to ensure that the tech labour force is representative of Canada’s diverse population.
- Inform policy decisions and strategies for digital technology adoption, digital workforce development, and digital skill development for policymakers and firms concerned with skills training and development.
- Prepare workers for technology adoption to augment and complement valuable human talent.
- Understand how digitalization has changed tech work patterns over 15 years.
- Prepare workers for success by gaining insight into the types of occupations that have experienced the most and least rates of digitalization.