Mastercard is building infrastructure for AI agents to shop and pay. The new Agent Pay protocol tokenizes transactions and adds security.
It also aims to handle machine-to-machine B2B payments efficiently.
The BVNK acquisition helps connect stablecoin networks.
What happened
Mastercard CEO Michael Miebach discussed the company's new Agent Pay protocol and its recent acquisition of BVNK, a large stablecoin platform, to support AI-driven commerce and machine-to-machine payments.
Why it matters
Agent Pay tokenizes transactions and adds cybersecurity services, creating growth opportunities for Mastercard. Machine-to-machine payments could improve working capital efficiency for businesses by enabling pay-as-you-use compute and digital content.
What to watch
The Agent Pay for Machines Protocol, launched recently, aims to facilitate high-velocity micro-payments between machines, potentially using stablecoins or other rails. Mastercard is closing the BVNK acquisition this quarter.
Ask the AI about this article →
Mastercard is positioning itself as the central trust and interoperability layer for a future where AI agents, not humans, initiate many transactions. The company sees tokenization as a service it can sell, adding to its revenue. The move into machine-to-machine payments addresses the need for high-speed, low-value transactions in B2B commerce, which could significantly improve how companies manage working capital.
The acquisition of BVNK is a strategic step to handle the fragmentation of stablecoins and blockchain networks, ensuring that regardless of which stablecoin a business uses, Mastercard can facilitate the payment. This mirrors its role in card payments today, where it acts as a neutral intermediary. The company acknowledges that while AI agents may not increase overall GDP, they could increase the number of transactions, benefiting Mastercard's fee-based model.
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