Will Canadian organizations be ready for the next era of business AI? IBM finds many companies may not be ready

AI For Business


A new IBM study finds that Canadian organizations are accelerating AI adoption, but governance, workforce readiness and accountability are struggling to keep up.

Toronto, June 22, 2026 /PRNewswire/ — As Canadian CEOs accelerate AI adoption to drive productivity and growth, executives across Canada are warning of a widening “control gap” as governance, oversight and workforce readiness struggle to keep up.

IBM company logo.
IBM company logo.

New findings from two global IBM Institute for Business Value (IBV) surveys, one of 2,000 CEOs and another of 2,000 C-suite technology leaders, reveal a common challenge. That means Canadian executives are facing a growing disconnect between their ambitions to extend AI across the enterprise and the organizational and governance foundations aligned to support it.

Although 90% of Canadian CEOs say they are incorporating AI into multiple workflows and 80% believe they are implementing AI at the pace needed to achieve business goals, only 43% of AI initiatives have achieved the expected return on investment over the past two years.

“Canadian organizations are still figuring out how to scale AI responsibly,” said Manav Gupta, vice president and CTO, IBM Canada. “What we are seeing is a growing gap between the speed of adoption and the governance, operating models, and workforce readiness needed to support it. Closing this gap is critical to realizing the full value of AI and remaining competitive.”

AI ambitions exceed surveillance

Canadian C-suite technology leaders surveyed expect to deploy an average of 1,189 AI agents by 2027, a 36% increase from today. This shows how quickly AI is moving from experimentation to everyday work.

However, only 9% of Canadian technology leaders feel fully prepared for the upcoming wave of AI adoption.

At the same time, more than two-thirds (68%) say they are responsible for AI systems they do not fully control, and nearly three-quarters (73%) report that AI deployment is outpacing their IT governance capabilities. In fact, half (50%) of Canadian CIOs and CTOs cite security and compliance concerns as the main barrier to effectively scaling AI.

Labor is very important but undervalued

The CEO survey also points to more pressing human challenges as the use of AI expands.

80% of Canadian CEOs agree that AI success depends more on employee adoption than the technology itself.

Canadian CEOs predict that by 2028, more than half (53%) of their employees will need to upskill for their current role, and nearly a third (29%) will need to completely reskill for a new role.

Scaling AI responsibly

Some organizations in Canada are already adapting their technology infrastructure to support rapid AI innovation.

“We are designing a modular architecture so that components can evolve as technology advances without breaking the entire system,” said Boris Alexandre, CIO, Airbus North America, Canada. “This approach allows us to absorb rapid innovation while supporting products with multi-decade lifecycles.”

For more findings from IBM’s 2026 CEO Survey and Technology Leader Survey, download the full Statistics Canada brief.

Research method

IBM (NYSE: IBM) Institute for Business Value, in collaboration with Oxford Economics, surveyed 2,000 CEOs and similar senior leaders across 33 regions and 21 industries from February to April 2026. The study examined how leaders are redesigning their business models, operating structures, and execution capabilities in an AI-driven economy, with additional analysis examining how organizations translate their AI ambitions into enterprise-wide execution and business value.

IBM Institute for Business Value, in collaboration with Oxford Economics, surveyed 2,000 senior executives responsible for their organizations’ IT, technology, or AI-related decisions from January to April 2026 across 33 regions and 19 industries. This survey aims to gather insights into how organizations are managing the financial, operational, and governance challenges associated with expanding AI. Additional analysis was conducted to identify organizations that are building the structural capacity to effectively scale AI by categorizing organizations based on readiness and efficiency and assessing governance maturity.

Media contact:

lorraine baldwin
IBM Canada Communications
lorraine@ca.ibm.com

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