No Canadian regulator or statistical agency publishes a return-on-investment figure for an AI tool used in a real estate practice — every “40% faster” or “10 hours a week” claim circulating is vendor marketing, not measured Canadian data. What does exist is a way to measure your own.
Key takeaways
Statistics Canada’s Q2 2026 survey of Canadian businesses found 19.2% had used AI to produce goods or deliver services in the preceding 12 months, a figure the agency says “has tripled since the second quarter of 2024 (6.1%).” Statistics Canada, Q2 2026 AI-use survey It reports which applications those businesses use — data analytics, text analytics, virtual agents — and which barriers hold others back: cost at 10.6% nationally, cybersecurity or privacy concerns at 13.4%. Nowhere in that survey, or in any other Canadian source read for this page, is there a published accuracy rate, an hours-saved figure, or a dollar return for using AI. A separate StatCan release on planned adoption is a useful counterweight for the same reason: 66.7% of Canadian businesses report no plans to adopt AI at all, and of those, 78.1% say it simply “was not relevant to the goods or services they currently provide.” Statistics Canada, planned AI adoption, Q3 2025 That’s not a technology failing — it’s evidence that a payoff isn’t assumed even at the national level, and shouldn’t be assumed in a single practice either.
If a vendor tells you their tool “cuts CMA drafting time in half” or “writes listings that convert 30% better,” Canadian law doesn’t leave you to just take their word for it. The Competition Act makes it reviewable conduct to make “a representation to the public in the form of a statement, warranty or guarantee of the performance, efficacy or length of life of a product that is not based on an adequate and proper test thereof, the proof of which lies on the person making the representation.” Competition Act, s.74.01(1)(b) The burden of proof sits with the person making the claim, not with you. Asking a vendor what test produced their headline number, before paying for a year of the tool, is not an unreasonable question — it’s the exact question Canadian law says they should already be able to answer.
Absent a published benchmark, the honest approach is to build a small one of your own, on a single well-defined task. Pick one repeatable piece of work — drafting a first-pass listing description, say — and track how long it actually took before AI, and how long it takes now including the review step every AI-drafted piece of client-facing material needs before it goes out. The comparison that matters is the tool’s subscription cost against real hours reclaimed on that one task, not a vague sense that things feel faster. If the review step regularly takes as long as writing from scratch did, the tool hasn’t earned its fee on that task yet, whatever a vendor’s marketing page claims.
Most Ontario agents are paid on commission, not by the hour, so the billing question that follows lawyers around doesn’t apply the same way. But the underlying discipline is worth borrowing. The Law Society of Alberta’s survey of Canadian generative-AI guidance records the Law Society of Manitoba’s April 2024 rule verbatim: “Fee arrangements should not generate an inappropriate windfall for a lawyer arising from the efficiencies created by using an AI tool… It would not be appropriate to charge hourly fees reflecting the time it would have taken to generate the work product without the use of generative AI. However, it is appropriate to charge for the time spent in crafting and refining AI inputs and prompts and in reviewing, confirming, analyzing and editing generative AI tool output.” Law Society of Alberta, Gen AI Rules of Engagement That’s a lawyers’ billing rule, reasoned here purely by analogy, and nothing requires a real estate agent to apply it. What transfers cleanly is the test underneath it: measure what the tool actually did for you, not what the task would have cost a person to do the old way.
A worked example, using openly declared numbers rather than any published figure: an agent pays $79 a month for an AI drafting tool and uses it on 14 listing descriptions in a month, each of which previously took about 35 minutes to write from scratch and now takes about 10 minutes to review and fix. That’s 25 minutes reclaimed per listing, or roughly 5.8 hours across the month. Whether $79 “earned its fee” is now a comparison against the agent’s own hourly value of that time — not against any vendor’s claimed accuracy rate.
Statistics Canada’s survey also asked AI-using businesses whether they changed training or staffing practices as a result — 44.4% said they had. Among AI-using businesses with 100 or more employees, 68.1% trained existing employees, 51.7% trained existing executives, and 30.2% used external consultants or vendors; among businesses with 1–4 employees, the same figures were 24.0%, 15.6% and 10.7%. A solo agent or small team isn’t going to run a formal training programme the way a 100-person firm does, but the pattern is worth noting: even businesses large enough to have a measurement budget are treating AI adoption as something that needs deliberate training and staffing decisions, not a subscription that simply pays for itself on its own.
The same survey found cost cited as a barrier by 15.1% of businesses with 20–99 employees against 9.8% of businesses with 5–19 employees — cost pressure that rises, not falls, as a business scales its AI use. That’s a reason to keep the measurement narrow rather than broad: one tool, one task, one honest before-and-after, before adding a second subscription on the strength of a feeling rather than a number you actually tracked yourself.
Related: the hours AI gives back, the review step that keeps you out of trouble, starting with one workflow, not ten tools.
No. Statistics Canada’s national AI-use survey tracks adoption, applications and barriers among Canadian businesses but publishes no accuracy, time-saving or return figure, and no Canadian real estate body publishes one either — treat any specific percentage you see quoted elsewhere as unsourced.
Yes, and Canadian law backs you up: under the Competition Act, a performance representation not based on an adequate and proper test is reviewable conduct, and the burden of proving the test was done sits with whoever made the claim.
Most Ontario agents are paid by commission, so the question doesn’t arise the way it does for a lawyer billing by the hour. But the discipline behind the legal profession’s own guidance on this — measure the tool’s actual contribution, not what the task would have cost manually — is a reasonable one to apply to your own cost-tracking even without a billing change.
A short call is enough to set up one measurable comparison on a task you already do every week.
