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Credit card interchange fees, which represent ~2% of U.S. commerce, have persisted because linking bank accounts (ACH) is a high-friction user experience. Imprint's CEO argues that trusted personal AI agents can seamlessly handle bank linking on a user's behalf, finally making low-cost direct payments a viable threat to the credit card rails.
The founder of Natural argues that the total addressable market for agentic payments isn't just a replacement for Stripe (a Payment Service Provider). It encompasses the functions of a bank (storing balances), a PSP (processing transactions), and a network (like Visa), creating a fundamentally new, all-in-one infrastructure layer.
Microtransactions have historically failed because the 'mental load' of a human deciding on a small payment outweighs the value. AI agents, which can scrutinize tiny decisions without cognitive cost, can enable a new economy of per-use payments for data, content, and APIs.
While human payment habits are entrenched (e.g., Visa), AI agents have no such loyalty. They will ruthlessly optimize for cost and efficiency, making near-free, programmable stablecoin transactions the default choice for the 99%+ of future transactions they will conduct, sidestepping legacy financial infrastructure.
AI agents are gaining financial autonomy through virtual credit cards from major fintechs. This approach leverages existing global payment infrastructure, bypassing the need for new, agent-specific protocols. It signals agents are mature enough to operate within human-designed systems, accelerating their real-world integration.
Consumers will be slow to trust AI with subjective shopping decisions (e.g., buying clothes). However, they will more quickly adopt AI agents to handle the objective task of payment optimization—choosing the right card or financing—making it the first major frontier for agentic commerce.
To enable agentic e-commerce while mitigating risk, major card networks are exploring how to issue credit cards directly to AI agents. These cards would have built-in limitations, such as spending caps (e.g., $200), allowing agents to execute purchases autonomously within safe financial guardrails.
Mercury's CEO sees the rise of AI agents performing financial transactions as an inevitable future. Rather than viewing it as a threat, Mercury is building tools like a CLI and APIs to become the go-to banking infrastructure for this emerging agent economy.
The financial system is unprepared for the coming wave of AI agents. These agents will perform tasks and require payment, creating trillions of micropayments. Current infrastructure from Stripe, Visa, or Mastercard cannot handle this volume, creating a massive opportunity for new protocols to facilitate the 'agent economy'.
For AI agents to move beyond information retrieval and perform meaningful business tasks like paying invoices, they need their own financial infrastructure. This includes dedicated bank accounts and credit cards with programmable spending limits and controls.
Looking toward 2030, Visa is preparing for "agentic e-commerce," where AI agents execute purchases autonomously. By developing secure, programmable digital credentials for machines, Visa is positioning its network to be the underlying trust layer, ensuring it remains the toll collector even when humans are not directly involved in transactions.