AI agents capable of autonomously managing consumer finances are emerging as a potential threat to traditional banking, particularly for regional institutions that rely on customer inertia to retain deposits. Companies like Robinhood and OpenAI are already deploying AI agents that can execute payments, rebalance investment portfolios, and provide personalized financial advice by connecting directly to users' bank accounts.

What Exactly Are AI Agents Doing With Your Money?

AI agents are software systems that can take independent action on behalf of users without requiring approval for each transaction. OpenAI recently launched a personal finance experience that connects ChatGPT, a large language model (LLM) that processes and generates human-like text, to users' financial accounts through Plaid, a data-sharing platform. The system can compare credit card rewards based on actual spending patterns, review investment allocations for overexposure, and track net worth across multiple accounts.

Robinhood has gone further, already allowing AI agents to self-execute payments and rebalance portfolios without human intervention. While OpenAI has stated that ChatGPT cannot currently make changes to user accounts, experts say the technology to enable autonomous transactions already exists. "The next iteration of this is the agent that says, 'Would you like me to do this for you?'" explained Daniela Hawkins, a partner at Capco, a consulting firm focused on financial services.

Why Should Banks Be Worried About Deposit Flight?

The core risk to banks centers on what researchers call "sleepy deposits," a phenomenon where consumers keep money idle in the same account rather than shopping around for better interest rates. Harvard Business School estimates that depositor sleepiness accounts for 58% of the average bank's deposit franchise value, meaning more than half of a typical bank's deposit base exists simply because customers haven't bothered to move their money.

AI agents could disrupt this dynamic by automatically sweeping funds into higher-yield savings accounts or certificates of deposit (CDs) on behalf of users. For a regional bank with a million customers, this shift could create material liquidity risk. "If you're a super regional retail bank who's never really had to worry about Daniela Hawkins messing around with her savings account because she's too busy working to think about it, but she has an AI agent that will do it for her, and then you multiply that over a million people, suddenly you've got material risk," Hawkins stated.

This disintermediation risk is compounded by the fact that there are very few regulatory controls currently in place for AI agents managing consumer finances. "There are very few regulatory controls in place today for this technology, meaning that the technology is there, and the AI companies can distribute this to consumers and they can act on that advice themselves," Hawkins noted.

How Banks Can Prepare for AI Agent Disruption

• Operational Audit: Financial institutions should conduct a comprehensive review of their operating model to identify all areas where external AI agents could disrupt their business, from deposit retention to lending operations.
• Machine-to-Machine Payments: Banks need to prepare for machine-to-machine agentic money movement, which requires rethinking product offerings and operational workflows to accommodate autonomous transactions initiated by AI systems.
• Account Security Protocols: Implement stronger safeguards against consumers sharing login credentials with large language models, which could expose sensitive financial data to compromise and identity theft.

Not all experts believe the threat is imminent. Oban McTavish, co-founder and CEO of Spade, a transaction data enrichment fintech, argues that banks are unlikely to disappear as a service. "A lot of people are talking about this idea that banks will primarily disappear as a service and that we're all going to be partnering with OpenAI and Claude and Anthropic and getting all of our banking services via a chatbot, and I really don't think that's going to happen," McTavish said.

He points to JPMorgan Chase's recent record quarterly earnings as evidence that consumers still value traditional banking relationships. "The average consumer, if you get out of our bubble that we all live in, doesn't love their bank, but they like the services they get, and if they're banking with a bank that cares about them and is doing their best to treat them as a good customer, they probably have it pretty good," McTavish explained.

However, some banking professionals worry that institutions are underestimating consumer adoption of AI agents. Stuart Salembier, senior vice president of member engagement and channel delivery at Municipal Credit Union in New York, expressed concern about consumers sharing financial information with large language models. "We don't advise members to give their financial information to a complete stranger or a person who contacts them. I recommend the same perspective be taken when you're talking about an AI bot," Salembier said.

Salembier also highlighted a secondary risk: most consumers lack the technical literacy to effectively prompt AI systems to provide accurate financial guidance. "The regular consumer is not necessarily always that educated on how to write the right prompt to get the chatbots to guide them to the answers that they're looking for," he noted.

Hawkins countered that historical precedent suggests consumer behavior can shift faster than institutions anticipate. "There are plenty of historical examples of where consumer behavior changed in a way some people didn't anticipate. Think about the digital camera and the fact that Kodak did not want to invest in that; they thought that was crazy. Think about Netflix and Blockbuster. Blockbuster thought, 'No, this is a family pastime on Friday and Saturday nights. This will never go away.' And now it's streaming," Hawkins observed.

The tension between these perspectives reflects a broader uncertainty in the financial services industry about how quickly AI agents will reshape consumer behavior. While regulatory frameworks remain underdeveloped and consumer adoption is still in early stages, the underlying technology is mature enough to enable significant disruption if consumer comfort with autonomous financial management increases.