Canada Lags Behind U.S. in AI-Driven GDP Growth
Canadian businesses struggle to translate AI infrastructure investments into meaningful long-term productivity gains.
1Divergent Economic Outcomes
New analysis from Royal Bank of Canada economists indicates that rising AI investments are failing to boost Canada’s GDP growth as effectively as in the United States. While American firms leverage AI for innovation, Canadian businesses often prioritize cost-cutting measures, leading to a net-neutral impact on the national economy.
2Import-Heavy Infrastructure Spending
Canadian spending on computer and peripheral equipment surged 28 percent during the first half of 2026. However, data reveals that 75 percent of this hardware is imported from outside the country. Consequently, these capital investments primarily benefit the economies of foreign manufacturers rather than stimulating domestic industrial growth within Canada.
3The Productivity Lag
University of Waterloo professor Joël Blit notes that Canadian businesses are adopting artificial intelligence at a slower pace than their American counterparts. This delay is attributed to a focus on replacing existing workflows rather than fundamentally reimagining business models, which limits the potential for significant productivity gains in the short term.
4Reimagining Business Processes
Real productivity gains require more than just installing new software into current systems. Blit emphasizes that companies must re-engineer their internal processes and retrain their workforce to fully utilize AI capabilities. Similar to the transition from physical to digital retail, true transformation requires a complete overhaul of traditional business operations.
5Negative Public Perception
Public sentiment toward artificial intelligence remains largely skeptical across Canada. Recent polling data from Angus Reid shows that 43 percent of Canadians view AI negatively, while 24 percent remain critical. Despite this widespread apprehension, 41 percent of the population reports using AI tools at least once per week for various tasks.
6Bottom-Up Adoption Trends
While corporate leadership may be hesitant, individual employees are driving AI integration from the bottom up. Blit suggests that if organizations provide necessary access and safety guardrails, workers will naturally experiment with these tools. This grassroots adoption could prove vital for Canada’s long-term economic competitiveness despite current top-down institutional inertia.
7Investment and Literacy Needs
AI investments over the past year have reached just over one percent of GDP per hour worked. Economists argue that this figure highlights a critical need for increased AI literacy. Empowering Canadians to explore and experiment with these technologies is considered essential for future economic development and workforce skill enhancement.
8Long-Term Outlook
Although current indicators show a neutral impact on GDP, experts remain optimistic about long-term productivity growth. The transition period involves significant capital expenditure and structural adjustments that have not yet fully matured. Future success depends on the ability of Canadian firms to move beyond simple automation toward comprehensive digital transformation.
Original article: : Tech — Canada Lags Behind U.S. in AI-Driven GDP Growth