AI drafts, humans decide: the new advice divide

Three-quarters of Americans use artificial intelligence. One in five lets it make a financial decision. The distance between those two numbers is the business case for human advice in the AI age, and it is exactly what Addition Wealth's 2026 Future of Advice Survey quantifies.

The survey, released Aug. 19, polled 1,000 U.S. adults for the AI-native financial guidance platform. Seventy-four percent say they use AI regularly or occasionally. Only 21% say they regularly use AI as a primary source for financial decisions; another 33% use it occasionally as a secondary resource. The trust numbers sit below the usage numbers. Just 14% fully trust AI for financial decisions, 21% trust it only for educational purposes, and 24% do not trust it at all.

Ana Mahony, founder and CEO of Addition Wealth, put the split bluntly: "Consumers are increasingly comfortable with AI helping them navigate financial decisions, but they continue to place a premium on human judgment, oversight, and accountability when money is on the line. People will turn to a platform and leverage AI for a lot of their financial questions, but often choose to connect with a financial advisor when they want greater confidence around more consequential decisions."

The preference data says the same thing in numbers. Asked how they want financial decisions supported, 39% prefer human-led guidance with AI doing the supporting work, and 33% want a person exclusively. Just 14% are comfortable with AI-led guidance with optional human support, and 5% prefer guidance that is fully AI-driven. Add the first two groups: 72% of Americans want a human leading or at least participating.

The 21% who already treat AI as a primary source is a minority, but not a trivial one. Bring in the 33% using it as a secondary resource and a majority of Americans are putting AI to work on their money in some capacity. That is the wedge the advisory industry has to work with. The usage numbers say the tool is already in the house; the trust numbers say the house still wants a manager.

Trust in AI is conditional, and the conditions are instructive. When asked what would increase their trust in AI for financial decisions, respondents ranked human oversight first at 42%. Privacy and data protections followed at 37%, transparency around how decisions are made at 36%. Backing from a trusted financial institution drew 30%, proven accuracy 28%, and personalized recommendations 27%. Accuracy — the trait a machine is supposed to own — comes fifth. What clients want, in order, is a responsible human, a protected data room, an explainable answer, and a regulated brand behind the whole thing.

Read the survey as a strategic map rather than a consumer snapshot. The firms that win the coming wave are those that treat AI as an accelerator instead of a replacement. The advisor's job shifts from manufacturing answers to verifying them: stress-testing the machine's output against the client's actual balance sheet, surfacing the assumptions, and owning the result. That is a higher-value role, not a diminished one.

For RIAs the implication is direct. An advice model built around a human who supervises AI is the service 72% of Americans say they want. An advice model that hands clients a chatbot and walks away is selling the part clients already get for free. The 14% who fully trust AI will grow as the tools earn that trust, but the growth rewards firms that install the accountability layer now, while the machine is still learning.

The finding that should focus every advisor is that Americans trust AI least where the consequences are largest. The survey does not say whether that trust will ever catch up to usage. It says that for now, the final decision still belongs to the person who signs the paperwork.