Canadians are turning to AI for money management but they still want humans for major financial decisions


Artificial intelligence is increasingly becoming part of Canadians’ financial lives. From budgeting and tracking spending to comparing financial products, consumers are embracing AI-powered tools at a rapid pace. Yet when it comes to retirement planning, investment strategies, and other high-stakes decisions, Canadians remain cautious, preferring the reassurance and accountability provided by human advisors.

New research released over the past several months indicates that Canada is entering a period where AI is becoming a mainstream financial tool. However, the data also suggest that trust remains the defining issue. Canadians appear willing to let algorithms assist them but not yet replace professional advice altogether.

AI gains ground in everyday financial life

According to the 2026 TD AI Insights Report, conducted by Ipsos among more than 2,500 Canadian adults, over half of Canadians are comfortable with financial institutions using AI to help track spending (55 percent) and calculate credit scores (53 percent). Half of respondents said they would be comfortable using AI-powered tools to help with budgeting.

Consumers are particularly receptive when AI helps simplify routine banking tasks. Nearly six in ten Canadians (59 percent) prefer AI involvement when seeking quick answers about fees or banking products, while 55 percent favour AI assistance for checking balances and conducting routine transactions. Another 52 percent welcome AI support for password resets and account-access issues.

This reflects a broader trend in consumer technology adoption. Canadians increasingly interact with AI-driven systems every day, often without realizing it, through banking apps, fraud detection systems, digital assistants, recommendation engines, and customer-service chatbots. Financial institutions view AI as a way to improve efficiency, personalization, and responsiveness.

Importantly, many consumers report tangible benefits. Approximately 41 percent of Canadians believe AI can help them make better financial decisions, while nearly one-quarter (24 percent) say AI has already improved their financial situation.

Trust remains the critical barrier

While Canadians are increasingly comfortable allowing AI to assist with financial tasks, they remain reluctant to place complete trust in automated advice. The TD survey found that 71 percent of Canadians still have greater confidence in human intelligence than artificial intelligence when it comes to financial matters.

Perhaps the most revealing finding is that only 32 percent of Canadians would trust AI over their parents for financial advice. The result illustrates how strongly trust and human relationships continue to influence financial decision-making.

AI systems can process large volumes of information and generate useful insights quickly, but they can also make mistakes, overlook context, or provide recommendations that are unsuitable for an individual’s personal circumstances. Consumers recognise these risks. Among those surveyed, the leading concerns about AI include inaccurate or misleading information (61 percent), privacy and data-security risks (55 percent), and uncertainty regarding accountability when something goes wrong (54 percent).  These concerns mirror broader debates occurring across Canada regarding AI governance, transparency, and consumer protection.

The human advisor still dominates major decisions

The dividing line between acceptance and caution becomes especially clear when examining high-value financial decisions. More than half of Canadians prefer human-only advice when seeking financial planning guidance (55 percent), retirement planning support (53 percent), or approval assessments for financial products such as loans and mortgages (55 percent).

This finding suggests that Canadians view AI primarily as a support tool rather than as a replacement for professional expertise. For many consumers, financial decisions involve more than numerical calculations. They are influenced by personal goals, family circumstances, emotional factors, risk tolerance, and life-stage considerations. Human advisors remain better equipped to navigate these complexities and provide empathy alongside technical guidance.

As Jayme Martin of TD Bank Group notes, while AI can enhance convenience and personalization, trust continues to be built through human connection and understanding during important financial moments.

Younger generations tend to be more familiar with AI technologies and more comfortable using digital platforms for banking, investing, and financial planning. As these consumers accumulate wealth and become primary participants in financial markets, adoption rates are likely to increase further.  At the same time, financial institutions are investing heavily in AI capabilities. Banks are using machine learning for fraud prevention, personalized product recommendations, customer-service automation, credit risk analysis, and operational efficiency. The result is that Canadians will encounter AI-driven financial tools more frequently, whether they actively seek them out or not.

The challenge for the sector will be balancing innovation with consumer confidence. Trust, transparency, and effective oversight will be essential if AI is to move beyond routine banking functions into more sophisticated advisory roles.

The emerging Canadian model is unlikely to be a choice between humans and AI. Instead, the evidence suggests a hybrid approach. Consumers appear comfortable with AI handling repetitive and information-intensive tasks while reserving significant financial decisions for conversations with qualified professionals. AI can provide faster access to information, identify patterns within large datasets, and help consumers organize their finances. Human advisors contribute judgment, accountability, ethical considerations, and an understanding of individual circumstances.



Canadians are turning to AI for money management but they still want humans for major financial decisions

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