Is an AI financial advisor an investment adviser? The three-part test nobody passes

Finance Magnates published a piece of arithmetic on June 8 that I had been waiting for someone to do: between January and June 2026, at least 10 retail brokers and platform vendors connected AI agents to live client accounts. Interactive Brokers wired Claude into its 4.75 million customer accounts on June 1, with every agent-generated order routed into a review tab the client must approve. Robinhood opened ring-fenced agent accounts to its 27.4 million funded customers on May 27. eToro will hand an agent a funded sub-account starting at $200. Claude was named in nine of the ten launches, ChatGPT in five, Grok in three, Gemini in two.

The same analysis carried one quiet sentence that I think outweighs the whole tally: no regulator has written rules specifically for AI agents trading retail accounts. Which sets up the question this letter is about. When one of these agents reads my portfolio and proposes selling one position to fund another, who, in the eyes of the law, is advising me?

Ten launches in five months, and the oldest question in the rulebook

The official posture so far is that everyone applies existing frameworks. FINRA (the industry-funded regulator that supervises US brokers, which matters here because its rules bind the broker and not the model vendor) is working from a rulebook written for human representatives and classical algorithms. So is the SEC, and so are the European regulators and the international bodies that coordinate them. Britain’s Financial Conduct Authority has a formal review due to report in summer 2026.

The brokers, meanwhile, have been admirably precise about what they are not doing. Robinhood’s terms, as InvestmentNews reported at launch, state that it does not control, supervise, monitor, recommend, or audit the external agents its customers connect.

The sharpest description of the resulting asymmetry came from inside the industry, at FINRA’s annual conference in Washington in mid-May. Dan Gallagher, Robinhood’s chief legal officer and a former SEC commissioner, pointed out that a brokerage faces strict supervisory rules the moment it gives personalized investment advice, while a general-purpose AI platform delivering the same advice faces essentially none. He compressed it to seven words: “Claude can do it, and I can’t.” When the person whose job is keeping a 27-million-account broker inside the rules says the rules sit on the wrong side of the fence, that is worth taking seriously.

The three-part test that decides who owes us care

The Investment Advisers Act of 1940 defines an investment adviser with a three-part test. A person is an adviser if they provide advice about securities, as a regular business, for compensation. Pass all three parts and a fiduciary duty attaches: the duty to put the client’s interest first, to disclose conflicts, to make sure a recommendation actually fits the person receiving it. Fail any one part and the Act does not see that person at all.

Two precedents mark the perimeter. In 1985 the Supreme Court held in Lowe v. SEC that publishers of impersonal investment newsletters, circulated to all subscribers alike, are not advisers. Personalization is the line: a magazine column about semiconductors is publishing, while a recommendation tailored to my holdings is advice. And in February 2017 the SEC settled the automation question in formal guidance: robo-advisers, the services that rebalance clients into model portfolios, are investment advisers in full. They register, they owe the fiduciary duty, algorithm and all. Automated personalized advice was placed firmly inside the perimeter nine years ago.

How an AI financial advisor becomes nobody’s advice

Now run the June 2026 stack through the test. The broker takes compensation and is plainly in the business, but it has structured itself out of the first element: it provides execution rails, and its terms disclaim the advising. The model vendor produces the advice, arguably as a business, but is compensated for tokens of computation rather than counsel, and positions itself as a general-purpose tool, nearer to the newsletter publisher in Lowe than to an adviser. And the agent itself, the thing that actually read the portfolio and proposed the trade, is not a person, and the statute only binds persons.

Three parties, each failing a different element of a three-element test. The result is advice that is personalized, account-aware, and acted on with real money, where the duty of care belongs to nobody.

A robo-adviser putting me in a 60/40 portfolio in 2017 owes me a fiduciary duty. A frontier model picking my actual trades in 2026 owes me nothing.

What changes if we believe this

The practical consequences are not subtle. An agent’s recommendation arrives with no suitability obligation, no duty to disclose what the model cannot know, and no best-interest standard of the kind that binds a broker’s human representative making the same suggestion. If the trade goes wrong, there is no adviser to hold to account, because no adviser ever legally existed. One legal commentary on the Robinhood launch put it plainly: none of these liability allocations have been formally resolved by contract, regulation, or litigation.

The scale is what moves this from a law-review hypothetical to a portfolio question. As Finance Magnates put it:

For those of us running real money, the decision lens is legal surface and tool fit. An agent’s output currently has the legal status of very fast, very fluent research: the weight of a sharp screening tool, not the weight of advice. Used that way, the new rails are genuinely useful. Used as a substitute for a private banker, they are a duty-free zone wearing a banker’s interface.

What might break this read

The honest counter-case is that the perimeter is more mobile than it looks. The adviser definition is functional, not formal, and the SEC does not need new legislation to decide that a model marketed for investing, reading individual portfolios, is in the business of advising for compensation. Lowe protected impersonal publications, and an account-aware agent is about as far from impersonal as software gets, so the publisher’s shelter is thinner than the vendors would like. The SEC’s 2026 examination priorities already single out advisers’ use of AI for supervision and disclosure scrutiny, the British review reports this summer, and the February 2017 robo decision is the precedent that matters most: the last time automated personalized advice reached scale, the SEC pulled it inside the perimeter rather than leaving it outside. One enforcement action, or one well-chosen customer arbitration, could move the line faster than any rulemaking.

The question I am sitting with

The Advisers Act has spent 86 years building one principle: whoever advises us about our money owes us care. In five months, ten brokers shipped a way of receiving advice that the principle cannot currently see. I doubt the gap survives the decade, and the robo precedent says function eventually beats form. But perimeters move slowly and adoption moves weekly. So the question I keep returning to is not whether the duty catches up. It is how much advice we will have taken from nobody by the time it does. Until then, treating an agent’s trade ideas as unprotected research, and acting on fewer of them than the interface invites, costs nothing and protects plenty.