For thirty years, online retail in Canada has run on one ritual. A shopper opens Google or Amazon.ca, types a few words, scans a page of links or product tiles, clicks, compares, and eventually buys. That ritual is ending. The shopper of 2027 is far more likely to ask an assistant to "find me a waterproof jacket for a weekend in Banff under $200" and let the software do the comparing. The search box is being replaced by a conversation, and the consequences for retailers from Vancouver to Halifax are bigger than most Bay Street boardrooms have grasped.
This is agentic commerce: AI assistants that discover, compare, and increasingly buy on a customer's behalf. It is not a thought experiment. Grand View Research values the agentic commerce market at US$5.7 billion in 2025, rising to US$65.5 billion by 2033. McKinsey estimates agentic commerce could orchestrate up to a trillion dollars of North American retail revenue by 2030, and three to five trillion globally. Bain puts the US market at US$300 to 500 billion by 2030 — a quarter of all e-commerce — while Morgan Stanley models a US$385 billion impact on the bull case. The numbers differ. The direction does not. And Canada, with roughly a tenth of the US consumer base, sits squarely in the wash of those flows.
The Canadian context
The shift is not only consumer-facing. Gartner forecasts that AI agents will intermediate more than US$15 trillion of B2B purchasing by 2028 — a market in which Canadian wholesalers, manufacturers, and software firms compete directly with their American counterparts. The behaviour is already here: Bain reports that between 30 and 45 per cent of North American consumers now use generative AI to research products and compare options before they buy. Statistics Canada's own e-commerce indicators show Canadians broadly track US adoption curves with a six-to-twelve month lag.
The plumbing is being laid just as fast. OpenAI and Stripe launched instant checkout inside ChatGPT in late 2025, and Google, Visa, and Mastercard have all shipped protocols and payment rails that let an agent transact on a shopper's behalf. When the people building that infrastructure describe it, they are blunt. Stripe's president and co-founder John Collison — a regular fixture on the Canadian fintech scene through Stripe's Toronto and Vancouver hubs — told Bloomberg's Odd Lots podcast this year that "keyword search is ridiculous," arguing it made sense for buying a book whose title you already knew, and little else.
Recommendation visibility is the new ranking
Here is what should concentrate the minds of Canadian retailers and their investors. In an agent-led journey, the recommendation happens before the click. A shopper asks, the assistant weighs the options it can understand, and it puts forward the one it trusts. If your product data is thin, inconsistent, or written for a 2010 search engine, the agent does not argue with you. It recommends the competitor it can read. You never see the lost sale, because it was never a visit in the first place.
For a decade, visibility in Canada meant ranking on Google.ca. The new equivalent is recommendation visibility: whether an AI system can understand who your product is for, what problem it solves, and why it beats the alternative. Most Canadian retailer feeds answer none of those questions. They were built for keywords, categories, and cost-per-click bidding, not for machines that reason over structured data. That gap between what retailers publish and what agents need is the single biggest commercial risk — and opportunity — in Canadian retail right now.
Why Canadian businesses are particularly exposed
Canadian retailers are particularly exposed, and not for lack of ambition. Main Street merchants from Granville to Yonge and big-box chains alike have absorbed one structural shock after another, from the shift online to supply pressure, tariff friction with the United States, and thinning margins. The instinct after each has been to move cautiously. Caution is the wrong response here. Retailers who structure their data early will compound an advantage while rivals are still debating whether any of this is real. Those who wait will find that being invisible to an agent is far harder to reverse than slipping a few places in a search ranking.
There is also a quietly Canadian opportunity in all of this. Shopify, headquartered in Ottawa, already powers a meaningful share of the catalogues that AI shopping channels ingest by default. If your store runs on Shopify, the structural plumbing for agent visibility is closer to hand than most owners realise. It still has to be used — clean titles, accurate attributes, current inventory, faithful product copy — but the runway is shorter.
The cost of entry is low and falling
The good news is that the cost of entry is low and falling. Getting into the major AI shopping channels is not a matter of buying placement. OpenAI runs a free merchant feed program: verify your business and submit a structured product feed, and Shopify and Etsy catalogues are already wired in. ChatGPT's shopping results are not advertisements. Visibility is earned through clean, complete, trustworthy data, which leaves the field unusually open for smaller Canadian merchants willing to do the work.
It is also why a new layer of specialists has emerged to do that work for retailers. Vendoora structures and enriches product and service data so AI agents can understand and recommend it. The wider point holds regardless of who does it: the data has to be ready before the agent arrives.
The human is still in the loop — but the comparison is not
None of this removes the human. People will still form brand preferences, still care about trust, still make the final call on anything that matters. But the moment of comparison — the point at which one product is chosen over three others — is moving inside the machine. The brands that win the next decade of Canadian retail will be the ones an AI can understand, compare, and confidently recommend.
The shop window is being rebuilt, and this time it is made of data rather than glass. Canadian retailers who treat that as a technical afterthought will pay for it in sales they never knew they lost. Those who treat it as strategy will own the recommendation, and with it the customer.
Vendoora is an agentic commerce platform that helps retailers and service businesses across Canada and the United States become discoverable and recommendable to AI shopping agents.