RBC’s Bold AI Gamble: Can Multibillion-Dollar Investments Transform Canada’s Banking Future?
RBC Bets Billions on AI: Will It Pay Off?
By Yvonne Lau | Published September 18, 2025
Canada’s largest company, the Royal Bank of Canada (RBC), bets billions on artificial intelligence (AI). The bank uses this bet to change its work and spark new growth. AI spreads through many fields. The financial services sector takes it in early. Yet, people now look for clear results. RBC must show that its large spending produces gains.
RBC’s Early AI Research
RBC began its AI work over ten years ago. Foteini Agrafioti started the project. She led Borealis AI Inc., the bank’s own research lab, from the start. Her love of machine learning grew during her PhD at the University of Toronto. In 2016, she launched Borealis AI. The bank let her team experiment with machine learning long before ChatGPT and similar tools appeared. She recalled, “Back then, AI was new, and we had room to learn without immediate need. The bank made a bold, early choice.”
Today, Borealis AI has about 950 data scientists and engineers. They study large sets of RBC’s financial data. Their goal is clear. They build new AI products to help the bank and improve customer service.
Ambitious Goals in a Changing Industry
The financial world uses AI fast, but doubts remain. Experts wonder if the current AI excitement will hold up. In response, RBC CEO Dave McKay sets high goals for AI work. He aims for up to $1 billion in extra revenue and cost savings by 2027. McKay stresses that RBC’s future depends on using data and AI well. The bank keeps spending around $5 billion each year on technology.
RBC: A World Leader in Bank AI
RBC’s effort shows. For the third year in a row, the bank ranks among the top three global financial firms for AI maturity. The Evident AI Index, a tool that checks innovation, research, patents, and skills in AI, confirms this. Toronto-Dominion Bank (TD) is the only other Canadian bank in the top ten worldwide. TD works closely with Toronto’s Vector Institute to build AI tools and grow talent.
Big Banks Face Hidden Hurdles
Being large does not make AI work simple. Alexandra Mousavizadeh, CEO of Evident Insights Ltd., explains that big banks have too many separate data pieces. “Big banks must move many pieces of data before AI can work smoothly,” she said. In this light, RBC’s early and steady investment in research and training at Borealis AI is key. Finance lecturer Jonathan Aikman at Queen’s University sees Borealis AI as the bridge that lets RBC turn raw data into useful insights and attract smart talent.
The Road Ahead
RBC speeds up its AI work as the industry watches. Many will note if the bank’s large spending gives it an edge and better service for customers. With Borealis AI inside and McKay’s bold money targets, RBC stands at the leading edge of banking’s digital shift. The road is not without risks. Yet the bank’s approach shows a strong belief in AI as a core part of future banking. The years ahead will show if this bet brings the rewards it promises and sets a guide for other banks in Canada and beyond.
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