Canada's AI Shopping Dilemma: Savings, Spontaneity, and Second Thoughts

MONTREAL, QC – June 18, 2026 – A quiet but profound transformation is underway in the Canadian marketplace. The digital shopping assistant is no longer a futuristic concept; for millions, it’s already here, living inside tools like ChatGPT, Copilot, and Gemini. According to a new landmark survey from National Bank of Canada, approximately two in five Canadians (39%) have used generative artificial intelligence to guide a purchasing decision in the last year.

This rapid integration of AI into the consumer journey signals a pivotal shift, moving beyond simple search queries to a more conversational and advisory role. The survey, conducted by the reputable firm Léger, reveals that for these early adopters, AI is a powerful tool for value-seeking. An overwhelming 80% of users report that AI helps them better compare their options, while a significant 57% say the technology helps them save money. This isn't just about buying products; Canadians are consulting AI for health and wellness advice (36%), meal planning (32%), and travel arrangements (28%), embedding it deep within the fabric of their daily decisions.

The Double-Edged Sword of AI Commerce

While the benefits of efficiency and cost savings are clear, the data also paints a more complicated picture, one fraught with impulse and regret. The very algorithms designed to help can also lead consumers astray. A striking 28% of those who used AI for a purchase admit they later regretted the decision—a rate of buyer's remorse that suggests a significant gap between AI's recommendation and genuine user satisfaction.

Furthermore, while many are saving money, nearly a quarter of users (23%) feel that AI actually encourages them to spend more. This highlights a fundamental tension: AI can be a frugal advisor or a persuasive salesperson, depending on the prompt, the platform's underlying motives, and the user's own discipline. The technology's influence is undeniable, with 61% of respondents believing AI sways their purchasing decisions more than traditional advertising. This suggests a transfer of trust from branded messaging to what is perceived as an objective, data-driven oracle, even when its recommendations prove flawed.

This reality is echoed in broader market research. An Accenture study from earlier this month found that while Canadians are open to AI, they are more cautious than their global counterparts. Only 21% of Canadians are ready to let an AI make purchases for them within defined parameters, compared to 32% globally. The trust is conditional, and the sting of a bad, algorithm-driven purchase is a powerful lesson.

Beyond the Algorithm: The Enduring Value of Human Expertise

The survey's findings prompted National Bank to underscore the continuing importance of human-centric advice, a sentiment that resonates deeply in an increasingly automated world. "This is where human expertise makes a real difference," stated Pierre Dufour, the bank's Senior Vice-President of Strategy and Client Experience. He emphasized that an advisor or business owner can understand a client's goals in a way an algorithm currently cannot, ensuring decisions are "truly aligned with their needs and objectives."

This perspective is strongly supported by data on public trust. While 39% of Canadians use AI to help shop for products, a Léger poll from last year found that only 32% would trust AI for financial guidance. This trust deficit is critical. AI can collate data on the best mortgage rates or compare ETF fees, but it lacks the empathy and holistic understanding required for complex life decisions like retirement planning or navigating market volatility. Consumers seem to intuitively grasp this distinction, delegating tasks that feel like a hassle while retaining control over decisions that carry personal weight and long-term consequences.

About 23% of AI users are already leveraging these tools for personal finance tasks like budgeting and saving. Yet, the path to fully automated financial management is paved with consumer apprehension. Other recent studies show that a staggering 83% of Canadians harbor privacy worries about AI, a major barrier when sensitive financial data is involved.

A Nation Divided: AI's Generational and Regional Gaps

The adoption of AI as a shopping companion is not uniform across the country; it reflects Canada’s diverse demographic landscape. Quebec is emerging as the nation's leader in AI-powered consumerism, with 45% of residents using the technology for purchasing decisions, well above the national average of 39%. Ontario follows closely at 41%, while adoption is lower in Atlantic Canada (35%), Alberta and British Columbia (34%), and lowest in Manitoba and Saskatchewan (28%).

Even more pronounced is the generational divide. Younger Canadians are embracing AI with far greater enthusiasm. The survey found that AI has a moderate to significant impact on the purchasing decisions of 56% of users aged 18–34. This influence wanes with age, dropping to 45% for those 35–54 and 37% for the 55-and-over cohort. This trend is consistent with other data showing that 83% of Canadians aged 18-34 have used an AI tool in some capacity, compared to just 34% of those over 55.

For businesses, marketers, and financial institutions, these divides are not just statistics; they are a strategic roadmap. Engaging a Gen Z consumer in Montreal may require a sophisticated, AI-integrated digital strategy, while connecting with a Baby Boomer in Saskatchewan might demand a more traditional, human-first approach. These trends signal a future of increasingly fragmented and hyper-personalized consumer engagement.

As this technology becomes more embedded in our lives, the questions it raises will only grow more urgent. The data shows Canadians are cautiously optimistic, embracing AI's power to compare and save while remaining wary of its potential to mislead and over-persuade. With a strong majority of the public (85%) calling for government regulation of AI, the next chapter will likely involve building guardrails to ensure these powerful new tools serve human interests, not just commercial ones.