Using AI for Marketing? Don’t Forget Privacy Rules

Financial advisors are under growing pressure to adopt AI tools for marketing. Personalized email campaigns, chatbots that qualify leads, and predictive analytics can all help firms stand out. But a recent article in The Globe and Mail warns that this edge comes with a catch: privacy regulators are watching more closely than ever. If you use customer data to train AI models or to segment audiences without proper consent, you risk fines and reputational damage.

What happened

The Globe and Mail piece highlights how advisors are embracing AI to create hyper-personalized marketing—tailored investment tips, automated retirement calculators, and even behaviour-based follow-ups. The promise is clear: better engagement and higher conversion rates. Yet the article also points to a growing tension. Privacy authorities in Canada (PIPEDA), the EU (GDPR), and several U.S. states increasingly view some common AI marketing practices as non-compliant. Using client financial data to train a large language model, for instance, may not be covered by existing consent forms.

Why it matters

For financial advisors, the stakes are higher than for most businesses. You hold sensitive data: income, net worth, risk tolerance, life goals. Regulations require you to collect data for a specific, disclosed purpose. If you later feed that data into an AI marketing tool—especially one that is cloud-based or uses third-party models—you may be processing information in a way your clients never authorized. Even if you anonymize the data, regulators like the Office of the Privacy Commissioner of Canada have said that “anonymization” must be robust and irreversible; many AI training methods fail that test.

The reputational risk is just as serious. A single compliance failure—say, a client discovers their personal financial details were used to train a chatbot—can erode trust quickly. In a profession built on confidence, that can be difficult to rebuild.

What readers can do

You don’t need to abandon AI marketing. But you do need to proceed carefully. Here are practical steps:

  • Audit your AI tools. Before adopting any marketing platform, ask exactly how it uses your data. Does it store client information on its servers? Does it use your data to improve its models? If the vendor can’t give clear answers, find another.
  • Update your consent forms. Standard privacy notices may not mention AI-driven marketing. Add a clause that explains, in plain language, how client data will be used for automated personalization and whether it will be shared with third-party AI services. Obtain explicit opt-in where possible.
  • Limit data scope. Use only the minimum data needed for a marketing function. For a lead scoring tool, you might need age range and risk profile, but not account numbers or exact balances.
  • Anonymize before processing. If you must use client data for training, fully anonymize it—removing names, addresses, and any identifiers that could be re-linked. Have a independent expert verify the anonymization is irreversible.
  • Document your processes. Keep a record of what data you collected, why, and how it was used by AI tools. This demonstrates due diligence if a regulator asks.
  • Monitor regulatory updates. Privacy rules are evolving. Follow updates from the Office of the Privacy Commissioner of Canada, the ICO (UK), or your local authority.

Sources

  • The Globe and Mail, “AI can give advisors a marketing edge, but mind the privacy rules” (June 3, 2026)
  • Office of the Privacy Commissioner of Canada, guidance on AI and consent (available at priv.gc.ca)
  • GDPR provisions for automated decision-making and profiling (Articles 22, 35)