AI disruption fears hit Wall Street’s wealth managers as Charles Schwab and LPL Financial dropped roughly 7% in a single session, with investors questioning how automation could reshape the role of financial advisors.

On February 10, 2026, shares of major U.S. brokerage and wealth management firms including Charles Schwab and LPL Financial fell sharply. Each of them saw a decline around 7%, as the market reacted to the growing influence of AI in finance, automating functions long handled by human financial consultants, which could lead to the potential disruption of traditional advisory services sooner than expected.
What happened
Fintech startup Altruist introduced an AI-powered tax planning feature within its Hazel platform, an example of emerging AI applications in finance designed to automatically analyze tax forms, account statements, and other financial documents. The system generates tax strategies and recommendations in real time, reducing the need for manual review by advisors.
Investors interpreted the launch as a clear sign that AI in financial services is moving beyond back-office efficiencies and into higher-value advisory work. Many wealth management and brokerage firms rely on fees for personalized financial planning services that AI for finance platforms may increasingly replicate or streamline. Therefore, analytics may expect subdued profitability among traditional wealth managers as those paid services may soon be performed by high-quality AI tools.
Market reaction
Following the announcement, Schwab and LPL shares each dropped roughly 7% in a single session, becoming a solid part of a broader decline across the sector. Other advisory-focused firms, including Raymond James and Stifel Financial, also recorded losses, while larger banks saw more moderate declines, due to their service variety and differentiation. Analysts linked the sell-off move to rising concerns that financial AI could compress margins, lower service costs, and shift clients toward automated or hybrid digital platforms.
Industry perspective
Tools like Hazel highlight how AI in finance can now perform complex tasks traditionally managed by human advisors, including tax planning, document interpretation, and portfolio strategy suggestions. These capabilities may improve speed and reduce costs, but they also raise questions about fee structures and the long-term economics of advisory businesses.
Despite the immediate market reaction, some observers note that AI in financial services is likely to complement rather than fully replace human advisors. Relationship management, trust, and personalized guidance remain central to wealth management. These cannot be substituted by machine tools in the nearest future or perhaps even ever. Several firms have indicated they are integrating AI for finance internally to enhance, rather than eliminate, advisor roles.
The sell-off criticism coinsides with the opinion recently shared by McKinsey Global Institute report, which highlighted that the demand for deeply human skills is actually rising along with omnipresent AI solutions. As automated systems take on more routine execution work, essentially human activities involving communication, collaboration, empathy, negotiation, and creative problem-solving grow even more valuable. Financial consultations remain among such activities too, as not all people are ready to trust their capital to machines.
In summary, the decline in Schwab and LPL shares underscores how rapidly advancing AI applications in finance are reshaping investor expectations and prompting a reassessment of traditional financial advisory models. At the same time, it is still to soon to eliminate human advisory services from the picture as trust and personal guidance remain vital in finance.


