The role of banks in the agentic economy is becoming more important as AI agents begin to handle more economic activity. See where banks fit in.
As agents begin to negotiate purchases, execute payments, hedge currency exposure, reconcile invoices, and request financing, banks face a central question: who makes machine-speed economic activity safe enough to trust?
That question is becoming urgent as financial infrastructure becomes more programmable. “I believe we are moving very fast into an AI-powered economic system,” said Circle Co-Founder and CEO Jeremy Allaire at a recent Current event. “AI agents will conduct transactions, will execute and build contracts, and AI agents will become a critical, critical part of how every corporation runs.”
Money, contracts, identity, and settlement are becoming more programmable. At the same time, networks like Visa are openly preparing for agent-driven commerce. In recent months, we’ve heard banking leaders talk about a future in which sourcing, payments, settlement, and reconciliation come together in a much more continuous and intelligent flow.
Banks anchor trust as interfaces multiply
Traditionally, banks have mostly been thought of as places individuals and businesses go to get products: an account, a card, a loan, a treasury solution. In the agentic economy, that model starts to break down. The customer experience may increasingly sit inside enterprise software, AI assistants, procurement platforms, operating systems, and digital wallets. That sounds threatening, but it can also provide direction. As customer interfaces spread, the role for banks becomes clearer. Banks are there to provide trust, control, liquidity, and legal accountability. That matters enormously in a world of autonomous agents.
Permissioning defines who and what can act
An AI agent may be able to execute a payment, but someone still has to determine whether that agent is allowed to act, under what limits, with which credentials, against whose balance sheet, and with what recourse if something goes wrong. That is the institutional core of the system.
With this in mind, the first future role of the bank becomes clear: banks will act as the permissioning and governance layer for machine actors. They will help verify identities, assign authorities, set transaction limits, monitor unusual behavior, and make sure autonomous actions are tied back to human accountability. In an agentic economy, the winning bank will not simply enable agentic money movement. It will decide when a machine is allowed to move money, and on what terms. One useful starting point for banks now is simply to ask where autonomous action could be allowed in the first place, and where existing compliance, policy, and governance frameworks would need to evolve to support that safely.
Programmable money enables always-on commerce
The second role is around money itself. If commerce becomes always-on, then money has to become more programmable and more available. This is why the work many banks are now doing around tokenized deposits, stablecoins, and 24/7 settlement matters. DBS has been building tokenized banking services that allow more continuous settlement and programmable use cases. Citi has been pushing token services that connect tokenized deposits with its existing cash management rails. There are many other examples and use cases in production. And while they sometimes feel like side experiments, it’s becoming clearer that they are early versions of what bank money will need to look like in a world where agents transact continuously.
Stablecoins are integral to this world. Stablecoins already show what always-on, programmable, interoperable money can look like in practice. For banks, that makes them the place to start getting comfortable with how money will need to work in the emerging agentic economy, even as the long-term mix of bank money, tokenized deposits, and stablecoins takes shape.
Risk governance becomes continuous and embedded
The third role is around credit governance. This is where we think a lot of commentary on the agentic economy is still shallow. People talk as though better automation means credit somehow becomes easy. It does not. Lending is not just a faster workflow. It is a judgment business. A loan is a risk decision.
When a bank lends, it is advancing capital today against uncertain cash flows tomorrow. That requires judgment about a borrower’s resilience, the quality of its revenues, the reliability of its collateral, the structure of its obligations, and what happens if conditions deteriorate. Regulators are clear that proper creditworthiness assessment and ongoing monitoring remain core responsibilities of banks. AI can improve those processes, but it does not eliminate them.
In fact, the agentic economy may make the lender’s role more important, not less. Why? Because credit demand will become far more embedded and event-driven. A procurement agent could trigger working capital financing when inventory drops below a certain level. A treasury agent could request liquidity against verified receivables the moment goods are delivered. A supplier-management agent could initiate financing based on live contract data, logistics milestones, and payment history. In that world, credit becomes part of the operating flow of the business.
This is efficient, but it also raises the bar dramatically for banks. They will need to move from episodic underwriting to continuous underwriting. They will need to price risk off live data, not backward-looking documents. They will need to embed policy controls directly into disbursements. And they will need to monitor credit quality in real time, because the same systems that allow capital to move faster can also allow mistakes to scale faster.
This is why traditional banks still have an edge. They already sit at the intersection of payments, deposits, cash flows, compliance, and credit. They understand not just where money is going, but how businesses actually behave. That context is meaningful.
Banks will continue to matter because they can authenticate machines. They will continue to matter because they can embed controls into fast-moving transactions. And they will continue to matter because they can lend with judgment in a world flooded with automated decisions.
Banks that build early will define what comes next
The banks already engaging with digital asset infrastructure, programmable money, and new settlement models are doing more than experimenting. They are starting to define their role at the intersection of permissioning, money, and risk in a system that is becoming more automated and always-on. They are getting closer to the operating assumptions machine-speed economic activity will require, where greater precision in processes and governance becomes foundational.
The interface of finance may change dramatically. It may move into AI copilots, software platforms, and autonomous workflows. But the institutional center of gravity will still sit with the players that can make autonomous economic activity trustworthy, governable, and financeable. The banks that start building that muscle now, and bringing more clarity and standardization to how their systems operate, will be better prepared for the role they are stepping into.
