The conversation about artificial intelligence and employment has, for several years, oscillated between two poles: apocalyptic warnings about mass unemployment and dismissive reassurances that technology always creates more jobs than it destroys. The Canadian labour market data emerging in 2025 and 2026 suggests that neither narrative captures the reality — which is more sectorally specific, more gradual, and more manageable than either extreme implies.
The Information and Communications Technology Council (ICTC), which tracks technology's labour market impacts in Canada, published its 2025 AI and the Future of Canadian Work report in October of last year. Its central finding was that AI is acting primarily as a task-level disruptor rather than a job-level eliminator — meaning that specific tasks within jobs are being automated, changing the composition of work rather than simply eliminating positions wholesale.
Where Displacement Is Real
The sectors where AI-driven displacement is most evident in Canadian data include document processing, data entry, and routine customer service. Call centre employment in Canada declined approximately 18% between 2022 and 2025, with major financial institutions and telecommunications companies citing AI-assisted routing and resolution as partial contributors. Legal research, basic medical transcription, and certain categories of financial analysis have seen similar shifts.
These are not trivial disruptions. The workers most affected tend to be those in mid-wage clerical and administrative roles — not the lowest-wage workers (whose work remains too physically and contextually variable for current AI) and not the highest-wage knowledge workers (who are using AI as a productivity tool), but those in between. Statistics Canada's Labour Force Survey data through 2025 shows above-average unemployment rates in several affected subcategories.
Where Growth Is Happening
Simultaneously, Canada's technology sector — broadly defined to include AI development, data infrastructure, and technology-adjacent professional services — has been among the strongest employment growth areas in the economy. The ICTC estimates that Canada will need approximately 250,000 additional technology workers by 2028, driven substantially by AI development, deployment, and governance functions.
Healthcare is another sector where AI is creating rather than simply displacing work. Diagnostic AI tools require radiologists, pathologists, and data scientists to develop, validate, and oversee them. Administrative AI in hospitals is being deployed specifically to free clinical staff from documentation burden — a reallocation of human effort rather than a reduction in total healthcare employment.
The Skills Gap Challenge
The mismatch between where job losses are occurring and where new opportunities are emerging is Canada's central AI workforce challenge. Retraining a 52-year-old data entry clerk for AI development work is not impossible, but it is not simple either — and the social and institutional infrastructure required to manage this transition at scale is still being built.
Federal and provincial governments have invested in upskilling programs, and post-secondary institutions have rapidly expanded AI-adjacent curricula. Whether these investments are scaling fast enough — and reaching the workers most at risk — is a question that researchers and policy advocates continue to press. The answer will significantly shape the distributional impact of AI on Canadian society over the next decade.