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AI Adoption Doubles in Canada but Productivity Gains Fade Without Complementary Investments

Canadian firms doubled AI adoption by 2025, but unlocking sustainable productivity growth requires strategic investments in data analytics and other complementary capabilities.

Elena Voss/3 min/NG

Business & Markets Editor

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Figure 1 : Probability of artificial intelligence adoption associated with firm characteristics

Figure 1 : Probability of artificial intelligence adoption associated with firm characteristics

Source: Www150Original source

Canadian firms doubled AI adoption in 2025, but realizing lasting productivity gains depends heavily on strategic investments in complementary technologies and capabilities.

Artificial intelligence adoption accelerated significantly across Canadian firms, reflecting a global trend towards integrating advanced technologies into business operations. This surge prompts questions about tangible economic benefits, particularly in a country historically facing productivity growth challenges. The potential for AI to reshape industries and drive efficiency remains a key area of focus for economic observers.

By 2025, 12.2% of Canadian firms used AI for operations, a figure that doubled the proportion from the previous year. This rapid uptake suggests a growing recognition of AI's potential within the business landscape. Early data also indicates that AI-adopting firms initially registered 16.8% higher labour productivity compared to non-adopters, before considering other influencing factors. However, this initial productivity premium does not automatically translate into sustained, long-term gains without further strategic action. Firms demonstrate a higher propensity for AI adoption when they possess specific foundational capabilities. For example, firms with existing data analytics capability – the ability to collect, process, and analyze large datasets – are 15 percentage points more likely to implement AI.

The doubling of AI adoption underscores a clear shift in Canadian business strategy. Yet, the initial productivity boost, while notable, often reflects what firms already bring to the table. These "complementary capabilities" include robust data infrastructure, ongoing research and development (R&D), and employee training in information and communications technology (ICT). Without these supporting investments, the full economic impact of AI may not materialize. Simply adopting AI tools without a strategic framework for integrating them into existing processes and upskilling the workforce limits their transformative potential. The fade in productivity gains highlights the necessity for a holistic approach, where AI is part of a broader digital transformation rather than a standalone technology implementation.

Future productivity growth will depend on firms' willingness to pair AI implementation with these foundational digital and human capital investments. Observers will watch how Canadian businesses evolve their investment strategies to unlock AI's full potential.

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