AI Training Is Coming Through Your Local Chamber in 2027

From January, AI training for small businesses will be delivered through more than 400 local chambers of commerce and boards of trade across Canada. The programme is funded and the curriculum is being written. What it will do for your business depends mostly on what you bring to it.

What was announced

On 29 October the Canadian Chamber of Commerce announced a national initiative to help more than 10,000 small and medium-sized businesses build practical AI skills. It is funded with more than $2.7 million from Google.org, runs for two years, and is delivered through the Chamber's network of more than 400 chambers of commerce and boards of trade. Lexpert reported on it again on 12 November.

Participation opens in January 2027. Until then, businesses and chamber leaders can register their interest on the Chamber's AI Adoption Program page to be told when applications open.

A Canadian non-profit called Nrth, formerly Elevate, is building the curriculum and running the most intensive part. Its own release sets out three levels of support.

The numbers give a sense of scale at the top end. Nrth says it will train 60 local facilitators and lead 20 cohorts for 540 established businesses and 70 chamber leaders. So the cohort places are limited, while the online learning is where most of the 10,000 will take part.

Two things the announcements do not say: what it costs to take part, and whether you must be a chamber member. Ask your local chamber before assuming either.

Why training is the gap

The figures quoted alongside the announcement explain the focus. As reported by Lexpert, the Chamber cites Statistics Canada research putting the share of Canadian businesses using AI to produce goods or deliver services at 19.2% this year. Among the smallest businesses that did use AI, those with one to four employees, only 24% trained their staff on it.

If you run a small business, the 24% figure is the uncomfortable one. Three in four of the smallest firms using these tools handed them to staff without training. What we see when that happens is not disaster. It is a tool that gets used for the easy things, mistrusted for the rest, and quietly dropped by part of the team.

The same week, Global News reported RBC economists saying that AI investment is not adding to Canada's GDP the way it is in the United States, and quoted University of Waterloo economist Joël Blit saying the real gains come when businesses rethink how they work, which needs retraining and redesigned processes. Buying the subscription is the small part.

What to do before it opens

Register interest, and tell your local chamber you want in. Cohort places are few and the selection process has not been published, so being known to your chamber will not hurt.

Then use the next six weeks, because a training programme pays off for businesses that arrive with a problem. Pick one process that costs you time every week and measure it: how long it takes, how often it goes wrong, where it waits. That baseline is what lets you tell afterwards whether anything changed, and it is the whole argument of doing the gap analysis first.

Write down your rules as well. The Chamber says the programme will address accuracy, data privacy, security and the effect on employees. You will get more from those sessions if you already know which tools your staff use and what must never be pasted into them. Half an hour with our AI policy generator gives you a draft to bring.

And look at funding at the same moment. Training tells you what to build. The federal Regional Artificial Intelligence Initiative and the BDC financing programme are aimed at paying for it, and some regional deadlines fall this month. Our guide to Canadian AI grants and funding is the place to start, and each regional development agency lists its own dates.

How to judge it when it arrives

The funder is Google's philanthropic arm. Nothing in the announcements says the curriculum favours Google products, and Nrth, an independent non-profit, is writing it. It is still reasonable to notice which tools the examples use and to ask how the lessons apply to the ones you already pay for.

Judge the course by what you can do afterwards. A good session ends with one process chosen, a way to measure it, and a rule for when a person checks the output. If you leave with a list of prompts and no plan, treat it as an introduction and keep going.

Staff who feel they are getting faster are not the same as a business that is getting more done, which is the lesson of the gap between felt and measured speedup. Decide in advance what you will count.

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