For financial advisors in British Columbia, AI is no longer a “someday” question. It’s already in your industry, your regulators are already watching it, and your competitors are already experimenting. The advisors who pull ahead over the next two years won’t be the ones with the fanciest tools - they’ll be the ones whose people actually know how to use them safely. Here’s why the time to build that skill is now.
AI is already in your industry, not coming to it
The adoption has already happened at the firm level. According to EY’s GenAI in Wealth & Asset Management Survey 2025, 95% of wealth and asset management firms have scaled generative AI across multiple use cases. Yet only 27% say it has delivered substantial impact so far. That gap is the whole story: the software is everywhere, but the results aren’t, because the missing piece isn’t a licence - it’s skilled people who know what to point AI at and how to check its work.
For an individual advisor, that’s good news. The firms with the tools but not the skill have left an opening. The advisor who learns to use AI well, this year, gets a real edge while most of the industry is still “piloting.”
What AI actually changes in an advisor’s week
The wins are not exotic. They’re the repetitive, time-heavy tasks that pull you away from clients:
- Meeting prep and notes. AI note-takers summarise client meetings, draft follow-up emails, and flag action items - so you stay present in the room instead of scribbling.
- Client communication. Draft review summaries, plan explanations, and check-in messages in your voice, then approve before anything goes out.
- Research and prep. Summarise fund documents, market commentary, and long reports into the few points that matter for a specific client.
- Admin and CRM. Keep records updated and follow-ups moving without the manual data entry that quietly eats hours every week.
None of this replaces your judgement. It clears the busywork around it so you can spend more time on the relationship and the advice, which is the part clients actually pay for.
The regulator is moving, and that raises the stakes
This is the part advisors can’t afford to wing. In its 2025 Annual Compliance Report, the Canadian Investment Regulatory Organization (CIRO) flagged AI as presenting both real opportunities and complex challenges that demand stronger controls and continuous monitoring. On December 17, 2025, CIRO went further and launched a review of online and hybrid investment advice, including automated models - a signal that the rules around technology-enabled advice are being rewritten, not relaxed.
The firms in EY’s survey felt this directly: 86% were caught off guard by the regulatory and compliance complexity of generative AI, and 77% flagged data privacy and accuracy concerns. For an advisor, those aren’t abstract worries. Pasting client information into a public chatbot, or sending unreviewed AI output to a client, is exactly the kind of thing that turns a productivity tool into a compliance problem.
”Figure it out yourself” is the expensive option
The biggest risk isn’t using AI. It’s using it untrained - quietly, without a shared standard for what’s allowed. That’s how client data ends up where it shouldn’t, how a hallucinated number reaches a statement of advice, and how a practice builds habits it later has to unlearn.
Structured training fixes this faster than trial and error, because it teaches the safe workflow alongside the tool: what you can and can’t put into a model, how to keep a human in the loop, how to document AI-assisted work, and how to protect client confidentiality. Trained use is simply safe use, and it’s the difference between AI that strengthens your practice and AI that creates risk inside it.
The B.C. advantage: get the training funded
Here’s the part specific to British Columbia. Eligible employers can recover up to 80% of training costs through the B.C. Employer Training Grant, to a maximum of $10,000 per participant per fiscal year. That turns AI upskilling from a discretionary expense into a mostly funded one - so the real question isn’t “can we afford to train,” it’s “can we afford to be the practice that didn’t.”
Our certificate programs are built to be ETG-eligible and hands-on, run on your own systems and workflows rather than generic examples. For advisory practices specifically, the professional-services track covers AI-assisted operations, workflow automation, and on-brand content - the skills that move the needle in a relationship-driven, compliance-heavy business.
Where to start
If you’re weighing it up, three useful next steps:
- Run the free AI & Marketing Readiness Checklist to see where your practice stands today.
- Browse the certificate programs or see how training works for employers.
- Book a session and we’ll map out where AI fits your practice - and how the ETG can cover most of the cost.
AI in financial advice isn’t a future trend to monitor; it’s a current skill gap to close. The advisors who close it now, safely and on purpose, will spend the next few years ahead of the ones still waiting for permission.
This article is general information, not legal, financial, or compliance advice. Always confirm current CIRO requirements and the official WorkBC ETG rules before acting.