AI Agents Could Disrupt Financial Services, Bernstein Says

Consumer AI agents could reshape financial services by reducing customer inertia and making it easier to switch between financial products, although trust, data access and regulatory hurdles may slow adoption, according to Bernstein analysts.

Interest in AI-powered financial tools has accelerated following the rapid rise of Meta’s Muse, which reached 2.8 million downloads and became the top-ranked app in the U.S. App Store. Since its launch, financial stocks exposed to consumer stickiness—including mortgage lenders, brokers, regional banks and insurers—have fallen between 6% and 14%.

AI agents could potentially compare insurance policies, transfer deposits between banks, optimize brokerage cash balances and determine which credit cards offer the best rewards or promotions. Greater automation could put pressure on revenue streams tied to deposits, cash sweeps, insurance renewals and traditional financial advice.

However, widespread adoption depends on more than technological capability. Consumers would need to trust AI agents with important financial decisions, while banks and other providers would have to grant access to accounts, pricing and customer data.

Financial institutions still control critical areas such as authentication, identity verification, account access and product eligibility. Banks could also charge AI platforms for access to financial data, similar to JPMorgan’s move to charge data aggregators.

Trust remains a significant barrier. A TD Bank survey found that 55% of Americans now use AI to help manage their finances, up sharply from 10% a year earlier. Yet only 18% said they were comfortable allowing AI to independently make major financial decisions.

Regulation and liability could create additional challenges, particularly around consumer consent, financial advice, licensing requirements and responsibility when an AI agent makes an unsuitable decision.

Payments companies may be relatively well positioned for the shift. Visa and Mastercard could benefit as their fraud protection, dispute resolution systems and tokenized credentials become increasingly important in AI-driven transactions. Payment processors could also help merchants navigate multiple AI platforms, with Adyen already introducing tools for AI-powered commerce.

Bernstein expects the transition to unfold gradually, with consumer trust, financial data access and regulation determining how extensively AI agents transform banking and financial services.