Start with the scale, because it's easy to underrate.

Canada's Big Five banks — RBC, TD, BMO, Scotiabank and CIBC — employ nearly 400,000 full-time-equivalent workers. That is more than double the number of people in Canada's auto assembly and parts manufacturing industry. TD Bank's workforce alone outnumbers Canada's active military force.

So when those five institutions change how work gets done, it isn't a tech story. It's a labour market story.

The striking thing in CBC's reporting is that nobody had to pry these numbers out of anyone. The chief executives are volunteering them.

Scotiabank CEO Scott Thomson says AI saved his bank roughly 24,000 days' worth of work over about four and a half months. "AI is a big opportunity for us, a transformational opportunity both from an effectiveness, and an efficiency perspective," he said at the Scotiabank Financials Summit in Toronto.

TD CEO Raymond Chun says AI has cut the time to pre-process a mortgage from about 15 hours to three minutes.

BMO CEO Darryl White says predictive AI modelling in the bank's insurance business can make underwriting decisions in as little as 10 seconds. The industry standard, he noted, is at least 28 days.

RBC CEO Dave McKay, who has run the bank since 2014: "There isn't a part of our business that's not being impacted by AI." He has described using AI every morning to generate custom reports from RBC's internal data.

John Aiken, who covers the banking industry for Jefferies Financial Group, put the tone plainly: "This isn't a little pet project. The funny thing is, it's the CEOs themselves that are bringing it up unprompted."

Two independent measures say financial work is unusually susceptible.

A Toronto Metropolitan University study found 98 per cent of financial sector workers are highly exposed to AI technologies — far above the 56 per cent estimated for the Canadian workforce overall.

And last month the Bank of Canada estimated that one-third of jobs may "undergo substantial changes" because of AI integration given today's capabilities. The central bank specifically identified banking, insurance and other financial clerks among the most exposed occupations.

Worth being precise about the word: "exposed" means the work overlaps with what these systems can do. It does not mean "will be eliminated." A radiologist is highly exposed. So is a paralegal. So is a software developer. Exposure is a measure of contact, not of outcome.

This is the part that doesn't fit the expected narrative, and it deserves more attention than it usually gets.

They haven't happened.

"Strangely enough, we're not seeing head count reductions from the banks," Aiken told CBC. What he expects instead is softer demand for lower-skilled workers — "the front-line staff at the branches."

CIBC's CEO went further. Harry Culham, who describes his bank's new AI workspace as more like a "co-worker" than a chatbot, told analysts on CIBC's August 27 earnings call: "We actually see head count growth over the next five years. We're using it all over the entire organization, and we've got thousands and thousands of people being educated."

RBC, responding to CBC's questions about staffing, said people and relationships would always be at the core of its strategy. "We see AI as an enhancement, not a replacement," said Jeff Lanthier, the bank's director of media relations. The other four banks did not respond to CBC in time for publication.

And the banks are spending against growth, not just savings. At its investor day last year RBC announced plans to generate $700 million to $1 billion in enterprise value from AI-driven benefits by 2027. TD is targeting $1 billion in annual value from its AI initiatives. Both run in-house AI research labs — RBC Borealis and Layer 6, respectively.

Kiridaran Kanagaretnam, an associate dean at York University's Schulich School of Business, expects the industry's overall employee numbers to drift higher absent a major financial crisis.

Here is where the story sharpens.

Jon Pinkus, an employment lawyer at Samfiru Tumarkin LLP, says he has yet to see a clear-cut instance of a human being replaced by AI. He is still worried, and specifically about who.

"I have real generational anxieties for the incoming workforce. Not just this generation, but for generations to come."

"I think there are going to be certain positions that just don't exist, particularly more junior positions, entry-level positions."

His reasoning is uncomfortable and easy to follow: "A lot of those entry level tasks are the ones now being done by AI ... [it does] them well enough for many organizations to say, 'Why are we going to pay this person $80,000 per year?'"

Notice that this mechanism produces no layoffs at all. Nobody is let go. The junior analyst role is simply not posted next year. Headcount can stay flat, or even rise, while the bottom rung of the ladder quietly gets sawn off.

That is why "are there layoffs?" is the wrong question to track. A reduction in force is visible, bounded, negotiated and reported. A slow contraction in entry-level hiring is invisible, open-ended, and shows up in the data years later — as a missing cohort of mid-career professionals who never got their first job.

CBC frames all of this against a louder argument happening at the same time. Earlier that week an AI researcher resigned from Anthropic accusing the company and OpenAI of "racing straight to self-improving superintelligence," and another Anthropic employee posted that "we really do earnestly believe AI could kill all humans! I personally think it is >10% within the next decade."

Federal AI Minister Evan Solomon, asked about it on Wednesday, said "there are real concerns" at the frontier of AI development, adding that "our No. 1 concern always is safety, full stop."

The banking story is the useful counterweight to that conversation. The existential debate is real and unresolved, and it is also not what is changing anyone's working life this year. What is changing working life is a mortgage task going from 15 hours to three minutes.

For workers in exposed roles: the near-term evidence says redeployment, not removal. Kanagaretnam's advice to students is worth borrowing — pursue professional designations in accounting and finance to raise your value to an employer. "Everything is changing at a rapid rate," he said. "But that doesn't mean things are bleak."

For anyone hiring: if entry-level roles are the ones that stop making economic sense, that is a decision with a ten-year tail. The mid-career people you will need in 2036 are the juniors nobody hires in 2026.

For parents and teachers specifically: this is the AI story that actually touches a young person's future, far more than any headline about superintelligence. The practical implication is not "avoid finance." It's that the first job is getting harder to land in white-collar fields generally, and the things that still differentiate a candidate — a credential, a licence, demonstrated judgment, the ability to check an AI's work rather than produce the first draft — are worth more than they were. Worth a conversation with a teenager choosing a program. Not worth alarm.

And the honest caveat: four of Canada's five biggest banks declined to answer CBC's questions about AI and staffing levels. The most complete picture available is still an incomplete one.

Source: CBC News: https://www.cbc.ca/news/business/canada-banks-ai-9.7337625

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