AI and the Future of Wealth Management: Evolution, Not Extinction

By Steve Kuo and Catherine Quinn

The rise of artificial intelligence is causing a stir in the wealth management space and the market. In late February 2026, a speculative fiction article from Citrini Research characterized a potential future where AI upends the economy – while fiction, it unnerved some investors, resulting in a 1% drop in the stock market generally and 4-6% drops for companies named in the article. The same month, Altruist released an AI-powered tax planning tool that triggered major sell offs of public RIAs – immediately erasing $20B in market value, which scaled to $100B in a matter of weeks.

While dramatic, this is not a sign that AI is rendering wealth management obsolete. Instead, it highlights the power that AI can have in certain aspects of the wealth management space. Specifically, we expect AI to have three primary implications for wealth management.

1 – Middle Market Solutions

For middle market clients looking for self-sufficient wealth management capabilities, AI will enable this. This is a natural extension of the robo-advisor market. Altruist’s tax planning tool is an excellent example of this. This will likely lower the cost of service for this service tier, enabling more individuals to have access to basic wealth management services while simultaneously enabling wealth management firms to focus their human capital on higher net worth individuals who increasingly demand higher touch, personalized service.

2 – AI-enhanced Advisory

Internal to RIA operations, enterprise-level AI tools are increasingly enabling advisors to focus on human interaction with their clients instead of low-value administrative tasks. Some of these capabilities are industry agnostic, such as AI embedded into a CRM that can identify and track follow-up actions from calls. Others are specific to the wealth management industry, such as Vanguard’s new ‘Expert Insights’ capability that will provide “client-ready guidance” based on portfolio data to advisors. This is currently in the pilot stage with a full rollout planned for later 2026. While middle market clients are seeking aforementioned self-service tools and lower price points, the high- and ultra-high net worth individuals are facing increasingly complex financial landscapes, seeking more comprehensive wrap-around services, and expecting personalized, human care. AI-enhanced advisor will free up time for advisors to meet that demand.

3 – Strategy & Valuation

While valuations have not started shifting yet, many agree that incorporating AI into RIA operations will soon be a table stakes expectation. In a competitive M&A market, those firms that adopt and integrate AI effectively at an enterprise level can expect to receive higher valuations in transactions. The caveat here is that firms will need to demonstrate true value – improved margins, service quality, or scalability, for example. This means that AI must be deployed with strategic intention and at the enterprise level. To do so effectively will require high quality data, a clear technical vision, and strong change management approaches.