Canadian Productivity

Canada's $350B digital gap — what the new BDC study actually says

The Business Development Bank of Canada has put a $350-billion price tag on the productivity gap facing Canadian Small and Medium-sized Enterprises. A short overview of what the study says, where the gap actually sits, and why the headline number is only part of the story.

Bharat Kumar4 min readJuly 2026
A small business team meeting on the shop floor — where operational decisions actually get made
Where digital-maturity decisions actually get made — on the floor, by the people running the business.

On June 29, 2026, the Business Development Bank of Canada released its Digital Transformation and Artificial Intelligence Study (Small and Medium-sized Enterprises) 2026. The topline finding: if the majority of Canadian Small and Medium-sized Enterprises raised their digital maturity to match the country's top-performing 8 per cent, national GDP could grow by approximately $350 billion — roughly 14 per cent — over time.

That is a modelled scenario rather than a forecast. What it points to, however, is a productivity conversation that Canadian operators have been having for two decades — now with a specific number attached to it, and a specific place to focus.

The headline numbers

$350B
Potential Canadian GDP uplift if 92% of Small and Medium-sized Enterprises matched the digital maturity of the top 8%
+38%
Productivity increase modelled for Small and Medium-sized Enterprises at top-tier digital maturity
30%
Of Canadian Small and Medium-sized Enterprises currently use generative AI — and those that do are 24% more productive
96%
Of Canadian Small and Medium-sized Enterprises invested in digital technology in 2025 — up from 91% in 2021

Where the gap actually sits

The last of those numbers is the most instructive. Investment in digital technology is not the constraint — 96 per cent of Canadian Small and Medium-sized Enterprises are already spending. The constraint is depth. The Business Development Bank's own Chief Economist, Pierre Cléroux, framed it directly in the release: "Canada is not behind on adopting technology — but we are behind on extracting its full value."

Investment is broad. Maturity is narrow.
Canadian Small and Medium-sized Enterprises — three layers of the same story.
Invested in digital
technology (2025)
96%
Currently use
generative AI
30%
At top-tier digital
maturity (benchmark)
8%
Nearly every Canadian Small and Medium-sized Enterprise is investing. Only a small fraction is extracting the productivity that investment could theoretically deliver.

The broader productivity picture

The Business Development Bank's figure lands on top of a productivity comparison that has not shifted meaningfully in a decade. Canada currently produces approximately US$53.30 of value per hour worked (2022, in constant 2015 US dollars) — 17 per cent below the G7 average, and second-lowest in the group, ahead only of Japan. The United States, by comparison, produces US$72.10 per hour. That is the gap the digital-maturity conversation is attempting to close.

Output per hour worked — Canada vs. United States
In constant 2015 US dollars, 2022 data.
United States
$72.10
Canada
$53.30
Canada's per-hour output is approximately 26 per cent below the United States and 17 per cent below the G7 average.

What "digital maturity" actually means

The Business Development Bank's framework is broader than "does the business use artificial intelligence." It measures how deeply digital tools are integrated into how the business is run day to day.

Core systemsCloud infrastructure, enterprise resource planning, and integrated customer relationship management — the foundational layer everything else depends on.
Data and analyticsBusiness intelligence and reporting that inform operational decisions, not spreadsheets circulated by email.
Artificial intelligenceGenerative and predictive artificial intelligence used in routine decisions across multiple functions — not experimented with in isolation.
Cybersecurity disciplineAn actively monitored security posture with defined governance, rather than a one-time configuration.
Process automationDigital workflows replacing manual handoffs across operations, finance, and customer service.
Workforce capabilityFrontline teams trained and supported to use the tools they have been given.

The top-performing 8 per cent are not necessarily spending more than their peers. They are integrating more deeply. That distinction is what the $350-billion figure is ultimately measuring.

Investment is broad. Maturity is narrow. That is the entire story.

Why the gap is more persistent than it appears

Capital constraintsModernizing a technology stack requires meaningful investment, and Small and Medium-sized Enterprise margins are already under pressure from tariffs, labour costs, and interest rates.
Integration riskNew tools deployed on top of legacy processes rarely deliver the productivity gains that vendors project, and operators are aware of this pattern.
Skills shortageThe people capable of designing and operating modern digital systems are in short supply nationally, and are expensive to hire or retain.
Trust in the return on investmentThe Business Development Bank's Chief Information Officer, Jean-Sébastien Charest, has publicly stated that many of the obstacles to artificial intelligence adoption "aren't technical — they're based on myths."

Where does your business actually sit?

A brief self-assessment. Nothing tracked, nothing saved.

Closer to the top 8% or the bottom 92%?
Check what is true today, not what appears on the roadmap.
The core business operates on modern cloud or enterprise resource planning systems, not on spreadsheets and email attachments.
Any manager can access real-time performance data on their part of the business without requesting it from the IT team.
Generative artificial intelligence is used regularly across more than one function, not by a single champion experimenting in isolation.
The cybersecurity posture is actively monitored and reviewed, not treated as a one-time configuration.
Repetitive workflows have been automated, not merely documented.
Frontline teams are trained on the digital tools they use, and supported when the tools change.
The organisation measures the actual productivity gain from each digital tool it rolls out.
Digital investment is part of an operating plan, not a one-off technology purchase.

What to watch next

Q3 – Q4 2026
Whether adoption depth begins to catch up with adoption breadth
The 30 per cent generative artificial intelligence figure is a moving target. Subsequent Business Development Bank surveys will indicate whether momentum is holding or plateauing.
2027 – 2028
Whether the productivity gap begins to narrow
Statistics Canada's per-hour productivity data lags by 12 to 18 months. The first evidence of whether the current investment wave is translating into measurable output per hour will land in this window.
2028 – 2030
Whether Canada moves off the bottom of the G7 productivity rankings
This is the long-arc test. The gap is 30 years in the making, and closing it will not be a short exercise.

The $350-billion figure is a modelled ceiling, not a forecast. What makes the study valuable is not the headline — it is the reframing. The problem was never that Canadian Small and Medium-sized Enterprises would not adopt technology. It is that adoption without depth does not move productivity. And productivity is, ultimately, what every conversation about Canadian competitiveness eventually returns to.

Thinking about where your operation actually sits on this? Happy to compare notes.

Get in touch →

Where these numbers come from

Bharat Kumar · Manufacturing Transformation & Operational Excellence