Larger firms report using AI more often, but StatCan's own numbers show the gap is about relevance and risk tolerance, not ability to benefit.
Short answer
No size has a monopoly on benefiting from AI, but adoption and worry both rise with size. Statistics Canada's Q2 2026 survey found businesses with 100 or more employees were more likely to have used AI in the last 12 months (27.8%) than businesses with 1 to 4 employees (19.9%) — but the smallest businesses were also more than twice as likely to say AI simply “is not relevant to the business” (41.4% versus 21.3%), which is a different reason than being unable to benefit.
The clearest Canadian evidence on this question is the second-quarter 2026 Canadian Survey on Business Conditions survey of businesses, collected from Canada's largest employers down to sole operators. Among businesses with 100 or more employees, 27.8% reported using AI to produce goods or deliver services in the last 12 months, most often for virtual agents or chat bots (50.5%) and data analytics (40.4%). Among businesses with 1 to 4 employees, 19.9% reported the same, led by data analytics (32.5%) and text analytics (29.4%). Adoption climbs with size, but it is not a cliff — roughly one in five of the smallest Canadian businesses is already using AI in some form.
The same survey breaks adoption barriers down by size, and the pattern cuts against a simple “small businesses can't afford it” story. Cost was reported as a barrier by 15.1% of businesses with 20 to 99 employees, against 9.8% of businesses with 5 to 19 employees. Cybersecurity or privacy concerns were a barrier for 11.6% of businesses with 1 to 4 employees, but for 30.0% of businesses with 100 or more employees. A larger business has more systems an AI tool can touch, more personal information on file, and more to lose if a connection goes wrong — the size that adopts fastest is also the size that names security as its biggest limiting factor most often.
StatCan's companion survey on planned use found that two-thirds of Canadian businesses (66.7%) had no plans to adopt AI over the following 12 months, and that among those with no plans, 78.1% reported that AI “was not relevant to the goods or services they currently provide”, via a companion StatCan release on planned use — far ahead of lack of knowledge (11.3%) or privacy and security concerns (8.1%). No Canadian source in this build publishes a return-on-investment or accuracy figure broken out by business size, so any claim that a particular size “benefits most” in dollar terms would be invented, not measured. What the data supports is narrower: larger, older-established sectors like finance and information adopt earliest, and the deciding factor for most businesses of any size is whether AI actually touches what they sell, not whether they could afford to try it.
If security is the concern holding a larger business back, see whether a small business should worry about AI security. And for a structured way to work out whether AI is relevant to a specific business before spending anything on it, Treadstone's AI Strategy & Roadmapping hub covers sequencing that decision.
See how Canadian firms sequence an AI decision before spending anything.
