AI adoption and strategic challenges in Canada

Artificial intelligence adoption in Canada is progressing across various sectors, particularly within financial institutions, though it faces significant scaling and performance challenges. While organizational AI use has risen to approximately 19.2% according to Statistics Canada, recent 2026 data from KPMG indicates that Canadian companies continue to trail global averages in functional outcomes. Specifically, only 36% of Canadian respondents reported improved forecast accuracy (compared to 64% globally), 45% saw improved decision speed (compared to 71%), and only 64% reported tracking AI KPIs (compared to 85% globally).

Strategic discussions regarding AI sovereignty emphasize maintaining control and independence within the supply chain for critical infrastructure, such as healthcare and national defense, rather than pursuing total domestic production. Experts from Microsoft Canada and Cohere note that while essential components like specialized machinery or chip-manufacturing gases are sourced internationally, securing the supply chain remains vital.

On the labor front, the relationship between workers and AI is becoming increasingly complex. According to HP’s 2026 Work Relationship Index, 47% of Canadian knowledge workers now use work-provided AI on a daily or weekly basis, up from 35% in 2025. However, this adoption is accompanied by “job hugging,” with 69% of knowledge workers feeling it is too risky to change jobs. Additionally, 62% of employees fear AI may lead to an erosion of skills, such as critical thinking. A disconnect also exists between management and staff: 68% of HR professionals prioritize the ability to supervise and validate AI outputs, whereas only 29% of employees place similar importance on judgment. Furthermore, 51% of employees report that AI has increased their overall workload through “invisible work,” such as error correction and context management.