Canadian AI Spending Surged 12 Times in Two Years. Here's the Question Your 2027 Budget Needs to Answer.
In September 2026, Float — a Toronto corporate card and spend management company — released a snapshot of AI spending patterns among its 10,000-plus Canadian business customers. The headline figure was arresting: among a consistent group of 2,644 businesses tracked between August 2024 and August 2026, monthly AI spending grew by more than 12 times in two years.
A second finding was equally significant: the median Canadian business now spends $92 per employee annually on AI tools. That is not enterprise-level AI investment. It is the subscription-by-subscription accumulation of tools adopted function by function, without a central accounting of what each one delivers.
The question for November — budget season — is not whether to invest in AI in 2027. The trend has already answered that. The question is whether your 2027 AI budget will reflect a decision or just a continuation.
What Canadian Businesses Are Actually Doing With AI Spending
Statistics Canada's Q2 2026 survey found that 19.2% of Canadian businesses are actively using AI, up from 6.1% two years earlier. A further 25.2% plan to begin using AI in the next 12 months. The growth is consistent and broad-based.
But Bank of Canada research fills in a detail the adoption numbers obscure: only 8% of businesses reported using AI *significantly* in their core operations. The other 11% using AI were doing so peripherally — in ways that may or may not be moving the needle on productivity, revenue, or cost.
The gap between "using AI" and "using AI where it matters" is where most SME AI budgets disappear. And it is a gap that budget season is an opportunity to close.
The ROI Problem Is Organizational
The IBM Institute for Business Value's 2026 CEO Study, which surveyed 2,000 chief executives across 33 countries, found that only 25% of AI initiatives have delivered expected ROI, and only 16% have scaled across the enterprise. A related analysis found that just 29% of executives say they can measure AI ROI confidently.
The study's explanation for this gap is not about tools or vendors — it is structural. Organizations that redesigned five core business functions around AI (technology, finance, HR, operations, and cross-functional collaboration) were four times more likely to have delivered on their business objectives. The technology was secondary to whether the business was organized to use it.
For a Canadian SME, this cuts through a lot of AI planning conversations. The question is not "which AI tools should we buy in 2027." It is "are the processes and people around our existing tools designed to capture value." If the answer is no for most of your current subscriptions, buying more tools will not change the equation.
Three Things the Float Data Reveals About Canadian AI Spending
AI spending is volatile, not predictable. More than 70% of AI-buying businesses tracked by Float experienced at least one month in which spending spiked by more than 50%. These are not planned investments — they are tools that expand scope, change pricing, and add features mid-year. Budgeting AI as a fixed line item and treating it like a utility bill ignores how the category actually behaves.
Most AI spending is in a foreign currency. Approximately 77% of Canadian business AI spending is billed in US dollars. With the Canadian dollar fluctuating through 2026, an organization that signed a USD AI contract in January is paying materially more by November — with no offsetting revenue gain if their customers pay in Canadian dollars. Currency exposure is a real AI cost that most SME budgets do not reflect.
Investment is concentrated at the top. The top 1% of Canadian businesses tracked by Float spend roughly 38 times more per employee on AI than the median. The gap between organizations that have made AI a strategic investment and those that have accumulated tools is not shrinking. If your organization is in the median range — $92 per employee — the question for 2027 is whether that level reflects your ambition for the technology or just what fell into the budget.
The Planning Questions That Actually Matter for 2027
The Bank of Canada's Q3 2026 Business Outlook Survey found that 30% of Canadian businesses plan to increase capital spending because of AI in the next 12 months, and nearly 40% expect to increase capital spending due to AI over the next three years. The intent is real. The challenge is translating intent into something the organization can actually execute and measure.
Before your 2027 AI budget is final, three questions are worth getting clear answers to.
What are you actually spending today, and on what? Most organizations that do this audit discover AI subscriptions procured independently by sales, marketing, operations, HR, and IT — with no central list and no one person accountable for each tool's return. The audit itself is valuable: it typically surfaces redundancy and tools that nobody is actively using. At a median of $92 per employee and growing, this is not a rounding error.
Which of your current AI tools is owned by a business person, not just IT? An AI tool for client onboarding belongs to whoever runs client onboarding. If that person cannot tell you what problem the tool is solving and what success looks like, it is functioning as a cost, not an investment. Business ownership of AI tools — not just IT ownership — is the structural condition the IBM study identifies as a predictor of ROI delivery.
What does "AI-ready" mean for the workflows you are planning to invest in in 2027? The Bank of Canada's staff analytical paper 2026-22 found that firms with better data quality and more integrated systems capture more of AI's productivity potential. If the workflow you are planning to automate or augment in 2027 has messy underlying data, undocumented processes, or no clear measurement of the current state, the return will be limited regardless of which tool you buy.
What BDC LIFT Means for 2027 AI Investment
For Canadian businesses planning larger AI investments in 2027, BDC's LIFT program — a $500 million loan facility launched in April 2026 — provides repayable financing between $25,000 and $2 million for AI and digital transformation projects. Eligible businesses with $1 million or more in annual revenue can access loans at a 2.25% interest rate when projects include a Canadian AI component.
LIFT comes with a mandatory BDC Advisory Services plan, which is both a requirement and an asset: the advisory work forces the kind of AI planning discipline that the IBM CEO study identifies as the predictor of ROI delivery. Organizations that use LIFT not just for the financing but for the structured planning it requires are likely to exit the process with a clearer AI roadmap than they started with. If your 2027 AI plans include implementations that LIFT could finance, the application window is open now.
The 2027 Budget Decision
Gartner's October 2026 forecast projects global IT spending at $7.35 trillion in 2027, up 15%, with AI infrastructure and AI software driving the next trillion dollars of growth. Agentic AI is projected to overtake chatbot and assistant spending within enterprise software in 2027. These are not reasons to spend more by default — they are signals that the competitive distance between AI-mature and AI-novice organizations will keep widening.
The 2027 AI budget decision worth making is not about amount. It is about structure. Which tools have a business owner and a clear success definition? Which are running as background costs with no accountability? What does the organization need to do differently for the next dollar of AI spending to produce a different result than the last?
Twelve-times growth in two years is a signal that AI spending has moved from experiment to operating line. What it has not yet become, in most organizations, is a managed investment. November is the right moment to make it one.
Sources
- Float Financial. *Canadian Businesses Are Spending 12 Times More on AI Than Two Years Ago.* BNN Bloomberg (September 16, 2026)
- IBM Institute for Business Value. *2026 CEO Study: Rewiring the C-Suite.* ibm.com
- Statistics Canada. *Analysis on artificial intelligence use by businesses in Canada, second quarter of 2026.* statcan.gc.ca
- Bank of Canada. *Canadian businesses' use of AI: What the evidence shows.* bankofcanada.ca (August 2026)
- Bank of Canada. *Results of the third-quarter 2026 Business Outlook Survey.* bankofcanada.ca (October 19, 2026)
- Bank of Canada. *Survey Evidence on Firm AI Adoption and its Implications.* Staff Analytical Paper 2026-22. bankofcanada.ca (June 2026)
- BDC. *BDC Launches LIFT: Getting Canadian SMEs off the AI sidelines.* bdc.ca (April 2026)
- Gartner. *Gartner Forecasts Worldwide IT Spending to Grow 15% in 2027, Totaling $7.35 Trillion.* gartner.com (October 21, 2026)
Cloud Forces' AI Advisory service is the structured planning work between "we're buying AI tools" and "we have a managed AI program." We work with Canadian SMEs and mid-market companies to audit their existing AI portfolio, build an AI roadmap, and define the ownership and measurement framework that makes investment decisions defensible. As an AWS Consulting Partner since 2019 and a Microsoft Solutions Partner since 2022, we bring the infrastructure and vendor context to make AI planning practical rather than theoretical. Book a consultation to review your AI portfolio before your 2027 budget is finalized.
Anton Kuznetsov is the founder and principal engineer of Cloud Forces, the Toronto firm he started in 2018 to make AI and cloud practical for Canadian SMEs. He leads Cloud Forces’ AI advisory and Claude deployment work and oversees the secure cloud platforms the firm runs for its clients.
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