By Lynn Wang, CFA, CAIA, CFP®, TEP, CLU, FRM
Clients are increasingly using AI tools to explain investment concepts, summarize market news, compare products and test portfolio ideas before they ever speak with an advisor.
This shift is not a threat to professional advice, but it does change the conversation.
In an AI-enabled world, an advisor’s value is in their ability to filter out noise, interpret information, challenge assumptions, apply context and help clients make decisions that fit their goals, risk tolerance and life circumstances.
AI is becoming part of the client journey
AI is quickly becoming a first stop for financial information. A client can ask a question about asset allocation, inflation, retirement income, or market volatility and receive a clear, confident answer in seconds.
That can be useful. AI can help clients understand basic concepts, prepare for meetings and become more engaged in their financial lives.
But information is not advice.
An AI-generated response may sound polished, but it does not know the full picture of the clients’ circumstances. It may provide a general answer to what is, in reality, a highly personal decision.
That is where the advisor’s role becomes more important, not less.
Where AI can help
Used well, AI can support both clients and advisors.
For clients, AI can explain financial concepts or terminology and summarize large amounts of information.
For advisors, AI can help summarize research, organize meeting notes, and draft plain-language explanations. Those uses can free up time for higher-value work, including deeper discovery, scenario planning and client conversations.
In that sense, AI should be viewed as a tool that supports the advisory process, not one that replaces it.
Where AI falls short
The risks of AI are not limited to the incorrect answers it may provide.
The larger risk is that AI can sound certain even when the answer is incomplete, outdated or not appropriate for the client’s circumstances.
AI can also reinforce a client’s existing assumptions and validate the direction they were already leaning towards. That can be dangerous in investing, where good judgement often involves slowing down, testing assumptions and opposite perspectives, and considering what could go wrong.
There are also privacy and compliance considerations. Sensitive personal or financial information should not be entered into public AI tools.
The result is a new layer of responsibility for advisors. They are now also helping clients filter and interpret information from outside sources, including AI-generated content.
The advisor as interpreter, not gatekeeper
For decades, advisors had access to information and tools that many clients did not. Today, clients have more information than ever. The challenge is no longer scarcity. It is noise.
That changes the advisor’s role from gatekeeper to guide.
A strong advisor helps clients understand what applies to them, what does not and what may be missing. They provide discipline when markets are volatile, perspective when headlines are alarming and accountability when choices have long-term consequences.
This is especially important when clients are tempted to do it themselves because an AI tool has made investing appear simple.
Do-it-yourself investing may work for some people in limited circumstances. But building and maintaining an investment strategy is not only about selecting securities or comparing returns. It involves understanding risk, time horizon, taxes, liquidity needs, behavioural biases, estate considerations and the trade-offs between competing goals.
AI can help generate options. It cannot sit across from a client and understand what their values are, what they are worried about, what they are hoping to achieve, or how they may behave when markets move against them.
That human element remains central to financial advice.
Using AI as a client conversation starter
Advisors do not need to dismiss AI to defend their value but bring it into the conversation.
For prospective clients, AI can also be a useful entry point. Many investors are curious about these tools, but they may not know how to evaluate the answers they receive or where AI-generated information stops and professional advice begins.
Rather than positioning professional advice against technology, advisors can explain how they use technology to improve efficiency and research, while still applying human judgment, ethics and accountability to every recommendation.
A simple client-facing message could be: “AI can be useful for gathering information. My role is to help you understand what applies to your situation, what does not and how each decision fits into your broader goals.”
That kind of framing positions the advisor as a trusted interpreter, not a competitor to technology.
How advisors can use this conversation in practice
The topic of AI can be used in several practical ways across client service, education and business development.
In client reviews, advisors can ask whether clients have used AI tools to explore investment, retirement or planning questions. If they have, reviewing the output together allows the advisor to clarify assumptions, correct misunderstandings and connect the discussion back to the client’s actual plan.
In prospect meetings, AI can help advisors explain the difference between access to information and personalized advice. Advisors can use the conversation to show where context, suitability, risk management and accountability matter.
In client education sessions, advisors can host webinars or small-group discussions on how to use AI tools responsibly. These sessions can cover what information not to share, when to verify outputs and when to seek professional advice.
Used this way, AI becomes more than a technology topic. It becomes a timely way to deepen trust, demonstrate relevance and show clients and prospects how professional advice adds value.
How advisors can use AI responsibly
There are several practical ways advisors can leverage and work with AI, instead of worrying about being replaced:
- Use AI to support efficiency. It can help with summaries, communication drafts and early-stage research, but final analysis and recommendations still require professional judgment.
- Ask clients how they are using AI. If a client has used a tool to generate an idea, invite them to bring it forward and review that output together.
- Improve awareness of the risks. Clients should be educated that public AI tools are not appropriate places to share confidential personal and financial information.
- Understand where the boundaries of AI’s capability are. Understanding AI tool’s strength and weakness will help better use it and prevent mistakes. AI is still evolving with limits. For example, the information it provides may not reflect the most recent policy changes.
Finally, keep the relationship at the centre. AI may improve speed, but trust is built through consistency, listening, judgment and care.
Why professional standards matter more
As AI becomes more embedded in financial services, professional standards will matter more, not less.
In an environment where information is easier to access but harder to evaluate, the standards behind the advice become increasingly important.
That is where the CFA charter continues to evolve and carry meaning. The CFA Institute has incorporated the topics of AI into the CFA program curriculum and offered high quality webinars on AI and how to use it more efficiently, becoming an important source of education and valuable information. Earning the CFA charter reflects a deep commitment to investment knowledge, ethical conduct, professional discipline and client-focused decision-making. For CFA charterholders, the value is not only in what they know, but in how they apply that knowledge, with judgment, care and a commitment to high standards.
As CFA Society Toronto marks its 90th anniversary, that commitment remains central to our role in the profession. As AI reshapes the way information is gathered, analyzed and shared, CFA Society Toronto continues to be a place where wealth management and investment professionals can stay current, learn from one another and strengthen the judgment and credibility clients rely on.
AI is an amplifier, not a replacement
The best way to think about AI in investing is not as a substitute for expertise, but as an amplifier of it.
In a world where information is abundant, the real advantage is judgment.
The future of advice will not be human or AI. It will be a thoughtful combination of both, where technology enhances analysis and efficiency, while human judgment provides context, discipline, trust and accountability.
Lynn Wang, CFA, CAIA, CFP®, TEP, CLU, FRM is the Wealth Advisor at Aethalon, iA Private Wealth. She accumulated years of experience working at Canada Pension Plan (CPP) Investments, TD, and Citibank, before transitioning into entrepreneurship, where she now leads a team dedicated to providing cohesive wealth management solutions.
Lynn is the Vice Chair of Next Gen Steering Committee at the CFA Society Toronto, and a frequent speaker at financial literacy programs and career panels, empowering and inspiring younger generations. Lynn holds a Master of Science degree in Management from Ivey Business School and a bachelor’s degree in economics.
Disclaimer: The article has been prepared by Lynn Wang, Wealth Advisor at Aethalon, iA Private Wealth Inc. Opinions expressed in the article are those of the Wealth Advisor only and do not necessarily reflect those of iA Private Wealth Inc. iA Private Wealth Inc. is a member of the Canadian Investor Protection Fund and the Canadian Investment Regulatory Organization. iA Private Wealth is a trademark and a business name under which iA Private Wealth Inc. operates.
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