Ontario’s AI adoption story has a strange hole in the middle. In Statistics Canada’s Canadian Survey on Business Conditions, the share of Ontario employer businesses using AI to produce goods or deliver services rose from 5.5 per cent in spring 2024 to 18.1 per cent in spring 2026 — but businesses with 5 to 19 employees barely moved, from 7.3 per cent to 9.2 per cent.
Two years ago, that size band was the most likely in Ontario to be using AI. Now it is the least likely, and its intentions lag too: 17.2 per cent of the band plan to use AI in the next 12 months, against 26.0 per cent of businesses with one to four employees.
Why would the middle stall? A two-person firm runs on a couple of apps that already talk to each other. A two-hundred-person firm has IT staff. A twelve-person firm has five or six systems bought at different times, connected by nobody, and no one whose job is the gaps between them.
A ten-person company doesn't have an AI problem. It has five systems that don't talk to each other — and nobody whose job it is to connect them.
AI tools assume your data can be reached. In a mid-size small business, the order history sits in one system, the schedule in another, and the customer record in a spreadsheet. Connecting that — unglamorous integration work — is what unlocks every AI feature the vendors are pitching.
Before buying anything labelled AI, list the systems you already pay for, mark which ones exchange information, and assign an owner to each gap. That list is your AI strategy.