How Canada Uses Claude: Insights from the Anthropic Economic Index

Canada is at the forefront of global AI adoption, representing 2.6% of all Claude.ai traffic and ranking second only to the United States in usage per capita among the top ten countries by volume. This high adoption rate is driven more by the alignment between model capabilities and the local workforce composition than by income alone.

High Per Capita Adoption Rates

Canada's adoption of Claude is significantly higher than its population size would suggest. Based on February 2026 data, Canada's Anthropic AI Usage Index (AUI) is 4.4, meaning usage per capita is more than four times higher than expected based on its working-age population.

While a correlation exists between GDP per working-age capita and AI usage across IMF advanced economies, Canada's adoption exceeds the expected levels based on its income. Anthropic attributes this to Canada's highly educated workforce and its proximity to the United States technology frontier.

Regional Concentration and Economic Drivers

Claude usage within Canada is unevenly distributed and closely tracks the industrial composition of provincial economies rather than provincial income.

Geographic Distribution

• Ontario accounts for the largest share of conversations at 43.9%.
• Quebec (20.8%), British Columbia (18.9%), and Alberta (10.2%) together with Ontario represent approximately 94% of national usage.
• British Columbia leads in per capita usage (1.4x more than expected), followed by Ontario (1.1x).
• Newfoundland and Labrador has the lowest adoption rate with an AUI of 0.2.

The Role of Workforce Composition

Data indicates that provincial usage per capita is mostly uncorrelated with income. Instead, adoption is highest in provinces with a larger share of employment in professional, scientific, and technical services. This suggests that in high-income countries, AI adoption is primarily shaped by how well model capabilities match the structure of the local economy.

Canadian Usage Patterns and Distinctive Use Cases

While the rate of adoption varies by region, the general categories of use remain consistent across all provinces:

• Personal use (health info, product research, recipes, home repair): 44–51% of conversations.
• Work-related use (software troubleshooting, email drafting, business applications): 34–40% of conversations.
• Coursework: 13–18% of conversations.

Impact of Official Bilingualism

Specific use cases correlate with local economic and policy characteristics. Translation and editing requests are systematically higher in provinces with larger shares of public administration employment, such as New Brunswick, Nova Scotia, and Quebec. This reflects Canada's policy of official bilingualism in federal services and communications.

Comparison with Anglosphere Peers

When compared to the United States, United Kingdom, and Australia, Canadian usage is distinct in several ways:

• Overrepresented uses: Document translation is the most distinctive Canadian use case. Other overrepresented categories include academic coursework (specifically mathematics and STEM), coding assistance, and resume drafting.
• Underrepresented uses: Canada shows lower usage for professional communication (marketing content, workplace emails, legal assistance) and everyday personal tasks (cooking, health questions, home maintenance) compared to its peers.