The Canadian AI ROI story this year is uncomfortable. 93% percent of Canadian business leaders say their company uses or pilots AI. 2% report a measurable return on it. That gap is the most important number on your operating dashboard right now, and most boards are not asking about it.
TL;DR
- KPMG Canada surveyed 753 business leaders in late 2025. 93% use AI in some form. Only 2% report measurable ROI.
- 31% have pushed AI into core operations. The rest are still piloting or partially deployed.
- 57% of leaders say their biggest problem is figuring out how to capture value, up from 40% a year ago.
- Productivity wins are showing up. Revenue and cost wins mostly are not.
- The bottleneck is workflow design and governance, not the tools.
What happened
KPMG Canada’s Generative AI Business Adoption Survey, published November 2025, polled 753 business leaders between August and September. AI use jumped from 61% to 93% in a single year. Only 31% of those leaders said their company has fully integrated AI into core operations. Another 32% have partial deployment. 20% are still in early pilots. 17% are stuck at experimentation.
Two percent reported measurable ROI. Most of those were companies with over $1 billion in revenue. Among the few seeing a return, 31% could not even quantify it.
The same survey found 57% of leaders now say their hardest problem is understanding how to capture value from AI, compared to 40% the year before. Fewer than four in 10 have a written plan for how AI will create value.
Statistics Canada’s Canadian Survey on Business Conditions for Q2 2025 paints a quieter version of the same picture. Only 12.2% of Canadian businesses report using AI to produce goods or deliver services. That is double the year prior, but still small. Of those that did adopt, 40% built new workflows around the tool and 39% trained staff on it. Almost 90% reported zero change in headcount.
In May, Bank of Canada Governor Tiff Macklem warned that the productivity boost from AI will roll out slowly and that Canadian firms taking a tepid approach are at risk.
Why it matters in Canada
Canada has a productivity problem, and AI was supposed to be part of the answer. Statistics Canada data shows AI-using firms outproducing non-adopters by a wide margin once value capture starts. The CFIB estimates Canadian SMEs save just over an hour a day from generative AI use, and that reinvesting half of that time could lift GDP by $12.8 billion.
That dividend is not arriving for most Canadian businesses. The KPMG numbers say almost everyone is buying the tools. Almost no one is converting them to dollars on the income statement.
The regulatory picture is part of the context. Bill C-27, which carried the proposed Artificial Intelligence and Data Act, died on the Order Paper when Parliament was prorogued in January 2025. Canada now has no federal AI law. Provinces are moving on their own, and Quebec’s Law 25 and the EU AI Act are setting the practical bar for any Canadian company with cross-border data flows. Boards are running AI programs on PIPEDA, written in 2000, plus a patchwork of provincial rules.
This is the environment your AI investment has to earn its keep in. Buyers are getting smarter. Capital is tighter. American competitors are scaling fast. Your two percent of measurable return is what your board is going to ask about next quarter.
Business impact
You can read the KPMG number two ways. The optimistic read is that 2% is what early ROI looks like in any technology cycle and the rest will follow. The realistic read is that most Canadian companies have spent two years buying tools and licenses, and the operating model around those tools has not changed.
What this looks like inside a typical mid-market company in Canada:
- Sales reps run prompts in ChatGPT for emails, but the CRM workflow is the same as it was in 2023.
- Finance has a Copilot subscription, but month-end close still takes the same number of days.
- HR drafts job descriptions in an AI tool, but time to hire has not moved.
- Customer support runs an AI chat layer that deflects a few tickets, but staffing models are unchanged.
Activity is up. Output is roughly flat. That is the ROI gap in operational terms.
The KPMG data shows another tell. Among AI adopters, the top spend is on hiring tech talent and buying more tools. Change management and adoption are getting one-third of the attention. That ratio is upside down for the value capture stage Canadian businesses say they are in.
What leaders should do next
- Pick three workflows where you will actually rebuild the process around AI. Not “use AI in” sales. Rebuild lead routing, qualification, and outbound from the ground up. Same for one finance workflow and one customer-facing workflow.
- Set a measurable target for each. Cycle time reduction, cost per ticket, revenue per rep, days to close. If you cannot pick a number, you do not have a project, you have a license.
- Audit your tools. Most companies are paying for three to five overlapping AI products their staff barely use. Cancel the duplicates.
- Write an AI value plan in one page. KPMG found 62% of Canadian companies do not have one. Yours can.
- Put governance and use policies in writing before staff do it for you. Shadow AI is already inside your company. Quebec Law 25, Ontario Bill 194, and your customer contracts already create liability if you do not.
- Invest in training the way you invest in tools. The CFIB found AI-adopting businesses are 5.4 percentage points more likely to fund employee training. The companies seeing returns are in that group.
The skeptic’s view
There is a fair case for patience. Productivity gains from past general purpose technologies took years to show up in the data. Electricity and computing both moved through long periods of investment without measurable return. The Bank of Canada has acknowledged this directly. Some of the 2% number is a measurement problem, not a value problem. Many wins from AI today show up in employee experience, decision quality, and risk reduction, which traditional ROI frameworks miss.
It is also reasonable to wait if your industry has not produced strong reference cases yet. Spending on AI for the sake of looking modern has burned plenty of Canadian companies in the past 24 months. Doing less, more carefully, is a defensible call for a CFO right now.
The argument for moving anyway is competitive. Canadian firms are already lagging US peers on AI adoption depth. Waiting another two years to redesign a workflow is two more years of US competitors compounding their gains.
What to watch
- The next KPMG Canada AI adoption update, expected in late 2026. Watch if the 2% ROI figure moves.
- Statistics Canada Q3 and Q4 2025 business conditions releases. They will show if AI adoption is broadening past the 12.2% baseline.
- Federal signals on a successor to AIDA. The current Parliament has not tabled a new AI bill, but the file is alive at ISED.
- Ontario’s Bill 194 implementation, which will set the practical AI governance bar for any company doing business in the province.
Closing analysis
The 2% number is not a verdict on AI. It is a verdict on how Canadian businesses are buying it. Tools without workflow redesign, license counts without training, pilots without an ROI plan. That is the operating problem. The good news is that the few Canadian companies actually capturing value are following a recognizable pattern. The work is unglamorous and it is mostly about process and people. Your competitive position over the next 18 months depends on doing that work now, before your board starts asking why the AI line on the budget keeps growing without a payback line next to it.
Sources
- KPMG Canada. “Canadian businesses adopting AI, but few are seeing ROI.” November 19, 2025. https://kpmg.com/ca/en/media/2025/11/canadian-businesses-adopting-ai-but-few-are-seeing-roi.html
- KPMG Canada. “Beyond AI adoption: Turning Canada’s AI momentum into measurable returns.” March 2026. https://kpmg.com/ca/en/insights/2026/03/beyond-ai-adoption.html
- Statistics Canada. “Analysis on artificial intelligence use by businesses in Canada, second quarter of 2025.” June 16, 2025. https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025008-eng.htm
- Bank of Canada. “AI is knocking. Canada’s next productivity story.” May 2026. https://www.bankofcanada.ca/2026/05/ai-is-knocking-canadas-next-productivity-story/
- Bank of Canada. “Productivity in the age of AI.” May 2026. https://www.bankofcanada.ca/2026/05/productivity-in-the-age-of-ai/
- CFIB. “AI Adoption and Workforce Training Investment in Canada: Driver or Deterrent?” 2026. https://www.cfib-fcei.ca/en/research-economic-analysis/ai-adoption
- Deloitte. “The State of AI in the Enterprise, 2026 AI report.” 2026. https://www.deloitte.com/ca/en/issues/generative-ai/state-of-ai-in-enterprise.html
- Innovation, Science and Economic Development Canada. “Artificial Intelligence and Data Act.” https://ised-isde.canada.ca/site/innovation-better-canada/en/artificial-intelligence-and-data-act
Related reading
- Shadow AI Inside Canadian Companies and What To Do About It
- How To Write a One Page AI Value Plan for Your Business
- What Bill C-27 Dying Means for Canadian AI Compliance in 2026
Disclosure
AI Magazine Canada Blog has no relevant financial, advisory, or board relationships with any party named in this column.
