Future of work
A curated resource of recent research on trends shaping Canada's labour market.
Using tools like ChatGPT and the OaSIS database, the Institute for Research on Public Policy examined jobs across Canada to determine which sectors and regions will be most affected by generative AI. The research found that impacts are likely to vary significantly by region, industry, and tasks performed.
The report found that, rather than entirely replacing roles, AI is more likely to shift the mix of tasks within jobs. Routine clerical and data processing tasks are the most likely to be affected, while tasks that require social interaction, leadership, and problem-solving will remain resistant. Overall, roughly 50% of Canadian jobs are moderately exposed, with roles expected to evolve rather than disappear.
The impacts of generative AI vary widely across industries. Due to their task structures, sectors like transportation, warehousing, and manufacturing are more exposed. Sectors like education, health care, and professional services are less likely to be affected. Regionally, provinces like Ontario and Manitoba face higher exposure in key occupations, whereas places like Prince Edward Island and Newfoundland see less risk overall.
The authors recommend responding with investments in digital infrastructure and skills training, with a focus on abilities that will complement AI. Such areas include emotional intelligence, social perception, and critical thinking—domains where humans retain a clear advantage.
Resisting technological change is not a viable way forward. Managing this inevitable shift effectively will require proactive, targeted policy.