An advisor sits across from a couple in their early fifties who have just asked a question that would have been impossible to answer in real time five years ago in one of those conference rooms with a view of the Chicago River that traditional wealth management firms use to remind clients where they are and what kind of firm they’re dealing with on the 42nd floor of a building off Wacker Drive. If one of them claims Social Security early while the other does not, they want to know what happens to their tax situation under two different market return assumptions in four different retirement scenarios. The advisor grinned. He types something. In roughly 40 seconds, an answer is returned.
He didn’t give that response. It originated from an AI financial planning platform that his company integrated last year, in part because a nearby competitor was already using one and in part because hiring a tax expert would have required four hours of work. The economics of that discussion are evolving more quickly than the majority of those involved have properly comprehended.
Chicago, a city with strong ties to futures trading, real estate wealth, manufacturing family money, and a professional services sector that has kept many high-net-worth individuals in the Midwest rather than moving their assets to the coasts, has long been a major hub for wealth management outside of New York. Over the course of the last three decades, the registered investment advisory firms that established their practices here did so in a comparatively stable competitive environment where the premium for institutional trust, local knowledge, and personal connections was high enough to support fee structures centered around charging one percent or more of assets under management annually. There is pressure on that structure that won’t go away.
It is easy to characterize the fundamental economic upheaval. The technical tasks that took up most of a financial advisor’s working hours, such as portfolio rebalancing, tax-loss harvesting, scenario modeling, document parsing, and compliance documentation, can now be completed by AI-driven platforms for a fraction of the cost per client of a human advisory relationship. Technically speaking, the platforms that charge 0.25 percent of AUM for automated management are not providing a worse service than the 1.2 percent AUM firm. They’re providing a more constant one in certain ways, operating continually as opposed to catching up at quarterly assessments. Sitting with a client who recently received a terminal diagnosis and wants to grasp what that means for the family trust or guiding someone through the behavioral inclination to sell everything during a market downturn are things they aren’t doing, at least not yet.
Chicago’s traditional wealth management companies are attempting to refocus their value proposition in order to bridge that gap between what AI can handle and what it cannot. The advisors who are adjusting are shifting from portraying themselves as technical specialists to something that is sometimes referred to as relationship management, behavioral coaching, or life planning. One variant of the pitch is that the relationship in which the plan exists is more important than the financial plan itself. It’s not incorrect. However, it acknowledges that the technical expertise argument, which claims that a 1% price can purchase advanced human analysis that a robot cannot, is more difficult to maintain when the robot is clearly reproducing the majority of it.
The part of this disruption that receives less attention in stories centered on investment performance is the administrative and compliance load that traditional RIAs face. At reputable Chicago companies, advisors devote between 40 and 70 percent of their time to work unrelated to client relationships, such as data reconciliation between systems that don’t communicate with one another, portfolio reporting, compliance documentation, and form filing. This overhead is being collapsed by AI orchestration layers, enabling lean digital competitors to serve larger client books with smaller personnel. It’s easy to calculate what it means for fee competitiveness, and Chicago’s established companies are doing it.
Businesses that are adjusting have embraced AI co-pilot technologies that manage the technological and administrative burden while putting human advisers in charge of interactions that call for institutional trust, judgment, and empathy. Businesses that thought the disruption would remain in the mass-market robo-advisor market and not advance into the high-net-worth category where their company operates are the ones losing momentum. As it happens, the technology advanced more quickly than anticipated. For reasons other than cost sensitivity, it’s feasible that the wealthiest clients—those with very complex family office demands, cross-border tax issues, and illiquid asset portfolios—will continue to use human advisors. However, AI-driven financial planning is now competing on pricing and simultaneously improving on service consistency in the $1 million to $5 million market, which has been the mainstay of many Chicago RIAs.
