“AI does not shortcut the foundations. It compounds them.”

Four in five Canadian businesses still do not use AI in their core operations. Depending on your perspective, that is either reassuring or a problem.

Statistics Canada's Canadian Survey on Business Conditions, published in June 2026, puts the number of Canadian businesses using AI to produce goods or deliver services at 19.2% in Q2 2026. Up from 12.2% in Q2 2025. Up from 6.1% in Q2 2024. The growth is real and the curve is steepening.

But here is the thing: 40% of businesses told the survey that AI is simply not relevant to their business. That is not a small number. That is the single most common answer given as a barrier to AI use.

Two different businesses inside that 40%

I think there are two very different businesses hiding in that number. The first is a business where the honest answer really is “not yet,” a micro-operation with a narrow, physical workflow and no obvious AI application at today's level of tooling. The second is a business where the honest answer is closer to “we haven't looked hard enough,” and where the relevance question has not been put to a specific list of repeatable tasks.

My experience, getting my hands dirty with automation workflows over the last couple of years, is that the second group is larger than it thinks it is. Most of the value I have found has not come from dramatic reinvention. It has come from pulling AI into the parts of the work that are repetitive, document-heavy, and time-consuming in a way that nobody ever stops to question.

Where the data already backs this up

The sector breakdown from Statistics Canada supports this. Information and cultural industries are at 42.3% adoption. Finance and insurance at 40.4%. Professional services at 32.4%. The common thread is that the work in those sectors is already digital, already document-rich, and already full of the kind of repetitive cognitive tasks that today's AI tools handle well. Wholesale trade at 7.9% and construction at 9.2% have more of that work than their adoption numbers suggest.

The number that deserves more attention

The productivity research is the part I think gets skipped over. Statistics Canada's own analysis found that the raw productivity advantage of AI adopters, 16.8% higher labour productivity, shrank to a statistically insignificant 5.1% once complementary capabilities like data, cloud, and digital skills were controlled for. AI does not shortcut the foundations. It compounds them.

That is where I would start the conversation with any business sitting in that 80%. Not “should we use AI” but “do we have the data and process foundations that would make AI useful if we did.”

If you are not sure which of those two businesses you are, that is a conversation worth having before you spend a dollar on tooling. Find me through the contact section of this site.