How Many Canadian Businesses Actually Use AI

You have read that most companies now use AI. Then you look around your own sector and it does not feel like that at all.

Both impressions are accurate. They are measuring different populations, and the difference decides whether you are late or early.

The Canadian number

Statistics Canada, drawing on the Canadian Survey on Business Conditions and released on 16 June 2025, reported that 12.2% of businesses had used AI to produce goods or deliver services in the twelve months before the survey. In the same quarter a year earlier, the figure was 6.1%.

So roughly one business in eight, and the rate doubled in twelve months.

Compare that with the number you have probably seen quoted: Stanford’s AI Index reporting 78% of organisations using AI in 2024. Both are correct. Stanford surveys large organisations about use in at least one function anywhere in the business. Statistics Canada surveys Canadian businesses of every size about using it to actually produce goods or deliver services.

One measures whether a large company has an AI project somewhere. The other measures whether the work is being done differently. Those are not the same question, and the second one is yours.

Where the adoption actually is

The sector breakdown is the most useful part of the release. Information and cultural industries led at 35.6%, professional and scientific services at 31.7%, and finance and insurance at 30.6%.

Everything else sits well below the average. Construction, transport, retail and most trades are at a small fraction of those rates.

Read that as an opportunity map rather than a league table. In the top three sectors you are competing against firms who already do this, and the advantage is smaller and shrinking. In the rest, doing one thing properly puts you ahead of nearly everybody you compete with, and it will stay that way for a year or two rather than a month.

What businesses said they were doing with it

Among adopters, the leading uses were text analytics at 35.7%, data analytics at 26.4%, and virtual agents or chatbots at 24.8%.

Two of those three are reading and interpretation rather than generation. That matches what we see: the durable wins are in understanding what arrives, not in producing more output. Reading the enquiry, the document, the contract, the delivery note. It is unglamorous and it is where the hours are.

The most interesting number in the release

41.2% of businesses reported AI investment as not relevant to their operations.

Four in ten, and it is worth taking seriously rather than dismissing. For a proportion of them it is genuinely true, or true of the version of AI they have been shown, which is usually a chatbot on a website that would not help them at all.

But it is also a description of a marketing failure rather than a business reality. A contractor whose staff spend six hours a week chasing insurance certificates has an AI problem and does not know it, because nothing anybody has said to them connected the technology to that particular Tuesday afternoon.

That gap is the single largest opportunity in the Canadian market right now, and it is the reason we write about work orders and renewals rather than about models.

What it means for you specifically

If you are in Quebec or anywhere else in Canada, running between five and fifty million, outside the top three sectors, the position is this.

Seven of your eight competitors are not doing this. The ones who are doing it are mostly doing it badly, because they bought a tool rather than changing a process. And the barrier is no longer cost or capability, because both have collapsed. The barrier is that nobody has connected it to a specific thing your business does badly.

That is a good position to be in, and it has an expiry date. The rate doubled in a year. It will not stay at one in eight.

Why Quebec is a slightly different case

Two things make the Quebec position distinct from the rest of Canada, and both cut in your favour.

The first is language. A great deal of the AI tooling marketed to small businesses is built English first, and the French experience ranges from adequate to poor. That has slowed adoption here beyond what the national figure suggests, which means the gap between the businesses doing this well and everybody else is wider in Quebec than the survey implies. It also means bilingual capability is a genuine differentiator rather than a box to tick, and modern systems handle Quebec French properly when somebody actually builds for it.

The second is Law 25. Quebec businesses have had to think about personal information handling more concretely than most of the country, which is frequently framed as a burden. In practice a company that already knows what data it holds and why is substantially further along than one that does not, because that inventory is the first step of any serious AI project anyway.

Work that felt like compliance overhead turns out to be groundwork.

The honest caveat

Adoption figures measure activity, not results. A business appearing in that 12.2% may be getting a great deal from it or nothing at all, and the survey does not distinguish.

Which is the point of being deliberate rather than fast. Being in the statistic is worth nothing. Having one process that runs differently, with a number that moved, is worth a great deal, and it takes about a quarter.

Sources

• Statistics Canada, Analysis on artificial intelligence use by businesses in Canada, second quarter of 2025, released 16 June 2025.

• Stanford Institute for Human-Centered Artificial Intelligence, Artificial Intelligence Index Report 2025.

AI Optimize works with Canadian businesses between five and fifty million, mostly in the sectors that do not appear at the top of that survey. That work starts at Workflow Automation.