Your next client will ask AI about your firm before they ever call you.

The numbers stopped being early-adopter numbers this year. EY's April 2026 global survey of 18,000 consumers found that 49% had used AI to support savings and investment decisions in the prior six months. TD's second annual AI Insights Report, released in March 2026, found 55% of Americans now use AI to help manage financial decisions, up from 10% a single year earlier, with Gen Z at 77% and Millennials at 72%. The CFPB projected years ago that chatbot engagement in banking would pass 110 million American users by 2026, and consumer behavior has outrun even that.

For a registered investment adviser, the practical translation is simple: the first description of your firm a prospect encounters is increasingly written by a model, not by you. Before the referral call, before the website visit, before Form ADV is ever opened, someone types your firm's name into an AI assistant and reads what comes back.

What comes back is often wrong, and structurally so

Large language models are weakest exactly where a mid-sized RIA lives: the long tail of lightly documented private companies. A $500 million adviser generates thin training data, so models interpolate, and interpolation on financial facts produces confident, specific, wrong answers: a fee schedule that is off, a minimum that is invented, a custody arrangement misdescribed, adviser and broker language blurred despite the two being legally distinct roles. LendingTree's own testing of major chatbots on financial questions found answers that were often technically plausible while painting an unrealistic picture, and more than half of Americans have now used these tools at least once.

Why this lands on the compliance desk, not the marketing desk

If a prospect walks away because an AI told them your minimum is $1 million when it is $500,000, that is lost revenue. If a prospect, client, or examiner encounters a false statement about your fees, your fiduciary status, or your disciplinary history, that is a compliance-adjacent event, because your existing obligations already cover the accuracy of material statements about your firm and your ability to substantiate them on demand. The channel is new. The obligations are not.

The professional response is the same one compliance applies to every other channel: know what the correct answer is, on the record; check what the channel is actually saying, on a schedule; and keep dated evidence of both, plus every correction attempt. Firms that do this will be able to answer the question that is coming, from prospects and examiners alike: what does AI say about you, and how do you know?

The firms that cannot answer it are not negligent. They simply have never seen the channel. That is fixable in an afternoon, and it starts with looking.