Potential private equity (PE) investments in wealth management are stalling as investors grow increasingly concerned about the impact of artificial intelligence (AI) on the industry’s business models. Corporate finance advisors report that wealth deals are failing to clear PE investment committees, which are now applying much stricter screens to evaluate how well wealth firms are protected from AI-related threats and disruptions.
This apprehension has intensified following a broader tech sell-off in February, which paused sales for several previously hot software firms and dragged down shares of leading wealth managers like St. James’s Place, Quilter, and Rathbones. The market drop was triggered in part by US fintech Altruist launching an advanced, AI-driven tax planning tool. Investors are struggling to project long-term growth as rapid AI progress fuels fears that human advisors could become obsolete, or that wealth firms with legacy systems will face heightened cybersecurity risks. In response to these vulnerabilities, AI developers like Anthropic have even restricted certain capabilities of their models to prevent them from being used to exploit corporate IT weaknesses.
These concerns are disrupting traditional three-to-five-year private equity holding periods. Industry experts, including Fred Hansson of M&A advisory firm MarshBerry UK, point out that if the market begins to view wealth management as a machine-delivered service, fee rates will plummet, severely hurting earnings. Consequently, PE firms like Nordic Capital are now explicitly assessing a wealth manager’s “moat” against AI competition before investing. While UK wealth management M&A has already slowed from 193 deals in 2023 to 157 in 2025, advisors note that these AI anxieties have not yet caused a major drop in overall deal flow or valuations.
Many investors and bankers remain optimistic because of the demographics of wealth management, where the average client is around 60 years old and deeply values face-to-face relationships. Furthermore, regulatory requirements dictate that human individuals must ultimately remain accountable for financial advice. Legal and financial experts suggest that instead of replacing human advisors entirely, AI is more likely to absorb lower-value administrative tasks, even as basic AI tools become capable of building decent investment portfolios on their own.
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