The Intelligence Advantage: What AI means for Canadian mortgage brokers right now

The timing could not be more important. Canadian mortgage brokers are entering the most consequential renewal cycle in modern memory — roughly 60% of all outstanding Canadian mortgages are expected to reset by the end of 2026, with mortgages originated between 2020 and 2022 disproportionately represented in that wave and facing payment adjustments of approximately 40%.

At the same moment, the technology industry is placing tools in brokers' hands that, used well, could permanently reshape how they find, serve, and retain the clients at the centre of that wave.

The coincidence is not lost on the industry's sharpest practitioners. Nor is the risk of doing nothing.

The market moment

Brokers hold approximately 33% of the overall Canadian mortgage market — a four-percentage-point gain since 2022, built on the profession's core promise: independent guidance in a complex, high-stakes decision.

The renewal wave, rather than a crisis, has become a competitive opportunity. With the Office of the Superintendent of Financial Institutions (OSFI) scrapping the stress test requirement for uninsured borrowers switching lenders at renewal, and more than 1.2 million households navigating repricing, the value proposition of a knowledgeable, independent broker has rarely been clearer.

But the banks are not standing still. The Big Six and credit unions increased their combined share of originated mortgages to 59% and 18% respectively in the first half of 2025, partly through accelerated technology investment. TD is already using AI to pre-approve customers for mortgages and lines of credit. Royal Bank, TD, and BMO all rank in the top 10 globally for AI research.

The brokers positioned to win are those who can compete on more than rate. And AI, deployed deliberately, is how many of them intend to do it.

The database you're not mining

Among the most immediate and underused opportunities available to Canadian brokers right now is one they already own: their client database.

Tim Rye, senior vice president of commercial solutions at Teranet, made this point directly after the Property Ecosystem Summit in Toronto in April. Speaking with CMP, Rye described how AI can help brokers extract actionable intelligence from records that have been sitting idle.

"If you're a mortgage broker and you have 5,000 records in your database, could you ask AI: ‘What's the most likely client for me to close a deal with in the next six months?’ ‘What's the average age of my customers?'" he said. "Years ago you had to run spreadsheets, do macros. You can do a lot of quick things now that might help you refine your approach."

With the renewal wave in full force, this is not an abstract exercise. Brokers who can systematically identify which clients are approaching renewal, model likely payment changes, and reach out with personalized guidance before the bank does are operating at a structural advantage. The technology to do this is not speculative — it exists in tools available today.

The same logic applies to refinance opportunities, rate improvement scenarios, and clients whose equity position may have shifted. AI-powered CRM analysis converts a passive database into an active prospecting engine.

Scaling without hiring

For most independent Canadian brokers, growth has historically come down to a familiar constraint: time. The brokerage runs on the broker. The broker's capacity is finite. Scaling has meant hiring, and hiring means training costs, payroll, and the difficulty of finding the right people in a market where good talent is scarce.

AI is quietly changing that equation. Research from PwC's 2025 AI Jobs Barometer found that workers with AI skills earn on average 25% more than comparable peers without them. LinkedIn's 2026 Jobs on the Rise report identified AI literacy as the most in-demand skill across the Canadian finance sector.

At the brokerage level, the gains compound. Document processing, condition tracking, policy research, client communication follow-up, compliance administration — tasks that absorb significant time from both brokers and their support staff — are increasingly automatable. As CMP has reported, AI tools already embedded in Canadian financial services workflows are beginning to realign staff structure across the industry.

The parallel to the B-20 stress test transition is instructive. When OSFI expanded the stress test framework in 2018, the brokers who invested early in understanding the new rules — and built their value proposition around navigating them — gained significant ground on those who waited. The AI transition rewards the same proactive posture. Knowing the tools exist is not enough. Knowing how to use them to identify refinance opportunities, prepare rate comparisons more efficiently, and manage client communications at scale is where the competitive gap opens.

The human advantage, amplified

The question that dogs every conversation about AI in mortgage broking — will it replace us? — has a more nuanced answer in Canada than the simplest version suggests.

Vancouver-based broker Sharon Davis told CMP that the broker's ability to think through complex trade-offs is precisely what AI cannot replicate. Consider a homebuyer with a sizeable down payment: one option is to use that money to pay off debt, take on a larger mortgage, reduce monthly liabilities, and enter the housing market now.

That kind of holistic reasoning — weighing strategy, psychology, and specific circumstances — is what brokers do daily. "I feel like this is where the real humans are going to survive over the AI tools," Davis said. "AI doesn't think that way."

Eitan Pinsky, owner of Pinsky Mortgages in Vancouver, echoed that view earlier this year, noting that the brokerage profession has weathered every previous wave of digital disruption — online rate comparison, e-signatures, digital applications — and emerged with a stronger value proposition rather than a weaker one. "Every technology has a place," he said. "It's just how you use it."

That framing is useful. The opportunity is not AI instead of the broker. It is AI so that the broker has more capacity to be the broker — more time for the phone call, the complex scenario, the client who needs to be walked through a decision that will define the next five years of their financial life.

Canada's housing landscape further sharpens this argument. Rye, at the Teranet summit, observed that what holds true in Toronto or Vancouver often does not hold in smaller markets, and that Canada's fragmented provincial regulatory environment creates exactly the kind of complexity that requires human expertise — not algorithmic summary.

The broker who can navigate a non-QM scenario in Alberta, a first-time buyer grant in Ontario, and a stress test exemption at renewal for a switching client in Nova Scotia is not being replaced by a chatbot. They are being freed by one.

The renewal wave as an AI use case

The current renewal environment creates a specific, time-sensitive AI opportunity that brokers should act on immediately.

With approximately 1.15 million mortgages renewing in 2026 alone — followed by 940,000 more in 2027, according to CMHC — the clients who need guidance are already in brokers' databases. Many took out five-year fixed mortgages at record-low rates in 2020 and 2021. Their renewal conversations are happening now or in the coming months.

AI tools can help brokers get ahead of this volume in several ways. Automated outreach sequences can flag clients approaching renewal windows and initiate personalized contact before their lender does. Document processing tools can pre-populate renewal comparisons across multiple lenders faster than manual research.

AI-assisted income and asset analysis can help identify clients whose circumstances have improved — greater equity, higher incomes, better savings — and who may qualify for better terms or refinancing options they have not considered.

The brokers on CMP's Top 75 list for 2025 identified retention and proactive client communication as defining characteristics of their success in a difficult market. AI doesn't replace that instinct. It makes it scalable.

What the regulators are watching

Using AI well in Canada also means understanding where the guardrails are — and they are tightening.

OSFI's 2025-2026 risk outlook flagged AI-driven fraud and third-party technology risk as top-tier supervisory priorities. OSFI superintendent Peter Routledge has described AI as "a real amplifier" of cyber and third-party risk — a signal that the regulator is watching carefully how financial institutions, including mortgage professionals, deploy these tools.

OSFI assistant superintendent Jamey Hubbs has been pointed about the specific risks: transparency, explainability, auditability, potential bias in decision-making, and data governance are all areas where AI tools can create regulatory exposure if not managed carefully.

The concern is not unfounded. AI tools are already being used for fraud advancement — generating documents that appear entirely authentic — raising the bar for verification and reinforcing the need for reliable, authoritative data sources throughout the mortgage process.

For brokers, this does not mean avoiding AI. It means asking the right questions of vendors: What data was this tool trained on? How does it make its decisions? Can I explain those decisions to a regulator if required? The brokers and lenders who invest now in understanding these questions will be better positioned when regulatory frameworks inevitably catch up to practice — just as they were when B-20 arrived.

OSFI's upcoming approvals framework, launching in June 2026, is also expected to open the market to more fintech lenders, creating a more competitive and technology-forward lending environment. Brokers who are already fluent in AI tools will be better equipped to navigate that landscape.

The hybrid is the destination

The clearest summary of where the profession is heading came from one of the voices CMP has covered closely throughout this transition. The broker who succeeds in the AI era, the evidence suggests, is not the one who resists technology or the one who delegates judgment to it. It is the one who uses AI to free up time and intelligence, then applies that intelligence to the problems only a human can solve.

"We have to be a hybrid," Davis told CMP. "We need AI to keep us moving forward and help us be more efficient."

For a profession built on the promise of independent, personalized guidance through one of the biggest financial decisions a Canadian will ever make, that hybrid is exactly the right destination. The renewal wave is already at the door. The clients are already in the database. The tools are already available.

The only question is who picks them up first.

For more on how AI is reshaping the Canadian mortgage industry, see CMP's coverage on AI coming for brokers' back office, what Teranet's Tim Rye says about embracing the shift, and why the renewal wave is still an opportunity.