- Key insight: As AI agents become more of a presence in retail commerce, payments processors and merchants alike are going to have to adjust to a new world where purchasing decisions are made at machine-speed.
- Supporting data: Morgan Stanley estimates agentic shoppers could represent $190 billion to $385 billion in U.S. e-commerce spending by 2030 or 10% to 20% of market share.
- Forward look: If banks and financing providers move quickly, they can help shape how agent-driven payments work while delivering more intuitive shopping for consumers, stronger results for merchants and more secure transactions for everyone.
Financial service providers have spent years building direct relationships with consumers through rewards, perks and personalized offers. Now they need to design for a new decision-maker:
These digital assistants can search across merchants, compare products, and with a customer's permission, buy on their behalf. Tasks like comparing pricing, managing loyalty programs or choosing payment options will increasingly be delegated to AI assistants.
It's a moment of great opportunity and increased complexity for issuers.
Done right and responsibly, agentic commerce can reduce friction and increase consumer satisfaction, improve conversion for merchants, and drive more qualified spend, better-timed credit, and stronger protections for banks.
In an agent-driven world, many traditional differentiators get easier to replicate or easier for software to arbitrage. Pricing can be compared instantly. Speed and convenience can be measured on past performance. Product recommendations can be optimized and re-optimized with each interaction. There is a fundamental principle that will allow for the realization of all of the benefits afforded by the use of agents and that consumers must be confident in if and when something goes wrong.
That principle is trust.
As purchasing authority shifts to AI acting under permission, the hard questions move to the center. Who is authorized? What actions can an agent take? How is consent captured and enforced? Who is accountable for disputes, fraud or errors? Issuers who answer those questions clearly and perform consistently will be the safest choice for consumers to delegate to and the easiest choice for agents to recommend.
Trust in this context becomes much more than a brand message. It is measurable performance by AI agents including predictable approvals, low fraud loss, fast and fair dispute resolution, transparent terms, strong identity protection, actual performance in customer service, and clear boundaries on agent behavior. Agents will steer spend toward institutions that deliver reliable outcomes because reliability reduces risk for the consumer and friction for the merchant.
When software becomes the shopper, trust becomes the fundamental principle.
Once issuers understand which strengths will endure and which will erode, they can define an agentic commerce strategy that will build advantage. Will the institution be a funding source sitting behind someone else's agent or serve as a trusted intelligence layer that multiple agents rely on for risk, fraud and value decisions, and/or launch a consumer-facing agent of its own? These are decisions every issuer must make.
Banks and other companies are starting to face the true cost of buying AI services, and are already looking to cut corners.
Then it's time to get to work. Whichever path an issuer chooses, several principles apply:
First, they must help shape standards for permissioned payments. Transformation at this scale requires teamwork. By collaborating with payment networks and aligning with frameworks like
Second, they must win agent selection with machine-readable value. Issuers will need to redesign products, data and risk controls for a world where they are selling to agents, not just consumers. Agents will choose what they can evaluate quickly and reliably, including net customer value, approval speed, clarity of terms and quality of protections. That means rewards, promotions, fees and financing terms must be published in structured formats that are clear and can be consumed through APIs and other machine interfaces. Just as important, those terms must match the customer experience. If fine print diverges from what an agent ingests, spending will flow to providers whose terms are consistent and predictable.
This shift is already underway. Networks such as Visa and Mastercard are developing capabilities to support agent-initiated commerce within defined permissions. Platforms are also enabling purchases inside conversational tools while major retailers and commerce providers are rolling out agent-assisted shopping experiences.
Third, design agent ready controls and protections. Product and protections must be reimagined for agent-driven behavior, such as cards featuring programmable rules, dynamic pricing and clearer guardrails. Fraud and authorization models should recognize agent patterns and support rapid containment when issues arise. And humans must remain an integral part of the process responsible for verifying accuracy, detecting bias and staying accountable for outcomes, especially in financial services, where explainability isn't optional.
Finally, test, learn and scale with merchants. Issuers should recognize that retailer agents can be natural partners; both parties prioritize high approval rates and fast decisions. By piloting "agent-aware" offers and financing with merchants, issuers can help define standards and position themselves as the default choice for machine-to-machine transactions.
It's early but the direction is clear. Leaders in agentic commerce will treat AI agents as allies, not gatekeepers, and as a new channel they earn through better value, tighter controls and above all, trust. If banks and financing providers move quickly, they can help shape how agent-driven payments work while delivering more intuitive shopping for consumers, stronger results for merchants and more secure transactions for everyone.
