AI is statistical software that reads data, finds patterns, and produces numbers or text on its own. In finance, it now handles much of the routine work that used to go to new hires which has led to a popular claim: there is no point studying finance any more. The claim is wrong, but the pressure behind it is real.

1. Banks are cutting junior analyst intakes by as much as two-thirds (Fortune).

2. By mid-May 2026, 16 finance firms had announced over 63,000 combined cuts (ETBFSI).

3. In Canada, BMO cut 670+ roles with a $202-million severance charge in Q1 2026, and TD announced a 3% workforce reduction (Layoffs Canada).

AI is Not the Only Cause

Much of the cutting is a correction after years of over-hiring. RBC's chief executive acknowledged the bank had "overshot" its hiring by thousands (The Globe and Mail), and experts have called the AI takeover story "smoke and mirrors" so far (Fortune).

Canada's Job Bank rates the outlook for financial analysts as "Balance" from 2024 to 2033 - steady, not shrinking (Job Bank). The often-quoted +6% growth figure is US-only (U.S. Bureau of Labor Statistics).

In Canada, 58% of finance hiring managers plan to add permanent staff in the second half of 2026 (Robert Half Canada).

What is changing is the content of the work: less manual data entry, more checking machine output, and more judgement around context, ethics, and trust.

CFA Institute now requires a Level II Practical Skills Module called "Python, Data Science, and AI" (CFA Institute), and the 2027 curriculum adds a module on AI and large language models (CFA Institute). Its phrase "AI + HI" - artificial intelligence plus human intelligence; comes from chief executive Margaret Franklin (CFA Institute).

What You Can Do

• Learn to Audit a Model: Finding the flawed assumption in a machine-generated valuation matters more than constructing one from scratch.

• Know the Rules: Canada's AI guidance for registered firms sits with the OSC and CSA Staff Notice 11-348 (OSC). GetSmarterAboutMoney.ca is investor education; useful, but not where regulation lives.

• Registered Accounts: Understanding how registered accounts work practically and what CPP is offers real trade-offs and teaches faster than any textbook.

• Specialise: Risk, fintech, and sustainable investing still need people who can defend a decision to a regulator.

AI changes the tasks. It does not remove the need for someone accountable for the answer. Learn the reasoning first, then learn the tools that speed it up.

Understanding money is not only a career skill. It decides whether you can read a mortgage contract, judge advice you are given, and make choices with your own savings.

Automation has raised the entry bar and made the reasoning behind the numbers more valuable than the numbers themselves. That reasoning is learnable, portable, and no one can automate it away from you.

At the same time please keep in mind that AI is very expensive for institutions to integrate into their business. More often than not AI implementation is more expensive than hiring a salaried person because of this young aspiring financial professionals should not give up or give into AI hype and instead learn to work with it as a tool. 

Think of AI as tool similar to word, excel or power point that has research capabilities than a robot cyborg sentient being who is going to replace you and take over the world leading humanity to extinction terminator style. This will change your approach towards how you use AI and implement into your work.