How AI is reshaping M&A evaluation and execution in wealth management

Artificial intelligence is no longer just a back-office efficiency tool in wealth management. It is quietly transforming the way firms evaluate M&A targets, conduct due diligence, and integrate acquired businesses — and industry insiders say the pace of that transformation is accelerating in 2026.

The shift matters because M&A activity in the wealth management space is at a near-record clip. According to Fidelity's April 2026 Wealth Management M&A Transaction Report, the median deal size in April 2026 rose to $950 million, up from $584 million the prior month, with private equity-backed buyers participating in 76% of transactions. Against that backdrop, the firms that can move faster, analyze deeper, and integrate more cleanly are gaining a structural edge.

Derek Bruton, managing director and head of M&A at Modern Wealth Management, believes AI and modern technology are becoming embedded across the entire deal lifecycle — from sourcing through integration and client delivery.

"The gap between scaled platforms and standalone firms keeps getting wider, and the independents we speak with can feel it," Bruton said. "Building modern infrastructure, data capabilities, and an integrated client experience from scratch is expensive and hard to get right. That's what's driving more M&A."

AI raises the bar on who can compete

For years, M&A in the advisory space was primarily about consolidating assets under management. That calculus is shifting. According to Gartner's Top Strategic Technology Trends for 2026, firms that successfully embed agentic AI into their workflows — reducing operational overhead and boosting advisor capacity — are now commanding valuation multiples significantly higher than their less technologically advanced peers. Buyers are no longer asking only about EBITDA; they are asking about data hygiene and digital client acquisition capabilities.

Bruton frames this plainly: firms are no longer simply deciding whether to sell — they are deciding whether to keep trying to keep up, or to plug into something already built to win.

That has direct consequences for independent advisors weighing their strategic options. Bruton's advice to firms that feel behind on technology is to resist the temptation to bolt on AI tools before getting foundational systems in order.

"If your core systems don't talk to each other, layering on AI or anything 'advanced' just makes the mess worse," he said. "The faster path is plugging into a platform that already has this figured out. You skip the trial and error, reduce execution risk, and actually start benefiting from modern tech instead of fighting it."

AI is reshaping the dynamics of RIA M&A, as Allen Darby, the CEO of Alaris Acquisitions, told InvestmentNews last year. As the technology eliminates roles such as clerical functions, it is becoming a valuation driver, impacting negotiations between buyers and seller.

While technology is increasingly a feature of RIA M&A, the number of acquisitions is also growing. RIA M&A in 2025, for example, hit a record high, according to data from DeVoe & Company, with 273 transactions completed by late October. This surpassed the prior full-year record of 272 transactions, which was set in 2024. The deals were fueled by lowering borrowing costs and an acceleration of acquisitions by private-equity-backed platforms in what DeVoe & Company described as "the most dynamic market environment in a decade."

Research released earlier this year by Succession Research Group also highlighted the trend toward larger deals, more complex terms, as well as rising multiples.

Smarter diligence, better-prepared sellers

Mike Wilson, CEO and co-founder of wealth management platform Hamachi.ai, sees the AI-driven change running in both directions — helping buyers evaluate firms and helping sellers understand and present their own value.

Historically, M&A analysis in the advisory space was manual, fragmented, and backward-looking. Today, firms can analyze books of business far more intelligently and quickly using modern data infrastructure, dashboards, workflow analytics, and AI-driven insights. Buyers can now examine operational efficiency, advisor behavior, client engagement, service models, communication patterns, and growth opportunities with a level of granularity that simply was not possible five years ago.

"What's often overlooked is that AI isn't just helping buyers evaluate firms — it's helping sellers understand and present their own value more effectively," Wilson said. "Firms can now assemble diligence materials, document institutional knowledge, analyze client relationships, identify growth opportunities, and quantify operational strengths much faster than before, resulting in a more prepared seller and a more efficient transaction process."

Wilson also points to an underappreciated opportunity: firms discovering significant value already sitting inside their existing technology stack. Advisors navigating technology consolidation are increasingly finding that the biggest productivity gains come not from acquiring new applications, but from eliminating manual processes, connecting disconnected systems, and modernizing legacy workflows.

"Sometimes the biggest gains don't come from buying another application," Wilson said. "They come from eliminating manual processes, connecting disconnected systems, modernizing legacy workflows, and leveraging AI to unlock more value from the tools they already own."

From static analysis to continuous optimization

Wilson sees the industry at a genuine inflection point. The past two decades were defined by asset consolidation. The next decade, in his view, may be defined by the consolidation of intelligence, workflows, and institutional knowledge. He also sees AI changing the economics of innovation itself — a development with significant implications for smaller firms.

"Firms no longer need massive technology organizations to build custom workflows, dashboards, automations, integrations, and client experiences," Wilson said. "As those capabilities become more accessible, we may see smaller, highly efficient firms compete in ways that were once reserved for much larger organizations. The firms that embrace that shift thoughtfully will have a significant advantage in both acquiring businesses and creating value after the deal closes."

Craig Hundt, CEO of Prairie Wealth Advisors, urges caution alongside optimism. He acknowledges that AI is not going away and that every firm will have to determine how it can enhance clients' experience — but he also notes that the long-term results of AI-driven M&A decisions remain unproven.

"In a few years, it will be interesting to see whether all the M&A activity that was created by AI data plays out to the expectations of the firms that used the data to make their decisions," Hundt said, adding that as with investments, past performance is not a guarantee of future returns.