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Vying for the AI Payment Track: Traditional Card Networks Face Off Against Coinbase

As AI agents increasingly conduct commercial transactions, a battle for control over the underlying payment infrastructure is unfolding. The competition centers on two divergent and incompatible technical approaches for autonomous AI payments. One camp, led by traditional card networks Visa and Mastercard, relies on tokenized card credentials within the established banking rails. Visa's "Intelligent Commerce" and Mastercard's "Agent Pay" services extend their existing tokenization technology to authorized AI agents for consumer retail transactions, leveraging decades of fraud protection and dispute resolution systems. Their partners include major AI firms like Anthropic, OpenAI, and Microsoft. The opposing camp, spearheaded by Coinbase, advocates for an open internet protocol using stablecoins. Coinbase's x402 protocol utilizes the HTTP 402 status code to enable direct, machine-to-machine micropayments with USDC on-chain. This model eliminates card fees and is designed for high-frequency, low-value transactions between AI agents, such as paying for API calls or data streams, where traditional card costs are prohibitive. Currently, application scenarios are clearly divided. Mainstream consumer-facing AI shopping services (e.g., ChatGPT's "one-click checkout," Amazon's AI-assisted shopping) predominantly use card channels due to their mature consumer protections and merchant networks. Conversely, the stablecoin channel dominates machine-to-machine payments, as seen in Amazon Bedrock's core payment service using Base blockchain. Significantly, traditional card networks are not solely defending their turf; they are also investing in the stablecoin arena. Visa has rapidly expanded its stablecoin settlement volume and partnered with Coinbase on interoperability, while Mastercard moved to acquire stablecoin platform BVNK. This dual-strategy indicates their intent to become the fee-collecting gateway for all payment flows, regardless of the underlying rail. The short-term outlook is for coexistence: cards for personal retail, stablecoins for machine transactions. The long-term outcome hinges on whether AI-driven commerce will resemble traditional retail or evolve into a vast network of machine micropayments. Visa and Mastercard's hedging strategy suggests they are prepared for either future, while companies betting on a single channel face greater risk.

Foresight News06/08 09:04

Vying for the AI Payment Track: Traditional Card Networks Face Off Against Coinbase

Foresight News06/08 09:04

Research Status Report on AI Payment Protocols: The New Paradigm of Payment in the Agent Economy

AI Payment Protocol Research Status Report: A New Paradigm for Agent Economy Payments This report analyzes the rapid evolution of payment infrastructure designed for AI agents, driven by major industry moves from OpenAI, Google, Visa, Mastercard, Coinbase, and Stripe between late 2025 and early 2026. The core challenge is that traditional payment systems, built for human interaction, are incompatible with AI agents that require machine-readable interfaces, millisecond authorizations, and support for high-frequency micro-transactions. The emerging infrastructure is forming a two-layer architecture: 1. **Intent Orchestration Layer:** Translates agent intent into executable transactions. Two key segments exist: * **Agent Shopping for Humans:** Focuses on enabling agents to shop on human-centric e-commerce platforms. Protocols include OpenAI & Stripe's closed **Agentic Commerce Protocol (ACP)** and Google's open **Universal Commerce Protocol (UCP)** for standardized merchant interfaces. * **Agent-to-Agent (A2A) Transactions:** Solves trust issues in environments without human merchants, using blockchain-based smart contracts like **ERC-8183** for task execution and payment escrow. 2. **Settlement Layer:** Handles the actual movement of funds. Key competing protocols include: * **Stripe's SPT & Card Network Upgrades (Visa/Mastercard):** Extend existing card payments with delegated authorization tokens, ideal for standard retail but unsuitable for micro-payments. * **Coinbase's x402:** Uses the HTTP 402 status code for on-chain atomic swaps with stablecoins (e.g., USDC), enabling low-fee, account-less payments. * **Circle's Nanopayments:** An x402 enhancement for extreme micro-payments using off-chain batch processing. * **MPP (Stripe & Tempo):** A unified, pluggable framework supporting multiple payment rails (stablecoins, fiat, card tokens, Lightning Network) within a single "payment session." **Current State & Opportunities:** While core protocols are live, commercial adoption lags due to fragmentation in the intent layer. The key opportunities are: * **Settlement Layer:** Building multi-rail Agent wallets that abstract complexity and can route transactions across different payment protocols is a definitive, high-value opportunity. * **A2A Economy:** A significant blue-ocean opportunity exists in creating API services for agents to consume (e.g., data analysis, content creation) on a pay-per-use model (e.g., via HTTP 402), moving beyond subscription models. The future will see a dual-track evolution: consumer-facing agent commerce relying on card rails, and A2A transactions thriving on stablecoin rails. The inflection point will be when enterprises delegate spending authority to agents, making multi-rail wallets and service directories critical, unclaimed infrastructure.

marsbit03/31 14:46

Research Status Report on AI Payment Protocols: The New Paradigm of Payment in the Agent Economy

marsbit03/31 14:46

In 2026, Has the AI Agent Economy Truly Started to Operate?

The AI Agent economy reached a critical inflection point in January 2026, with three foundational layers—payments, trust, and social collaboration—becoming production-ready. The x402 protocol processed over 20 million transactions, ERC-8004 launched on Ethereum mainnet, and over 1.2 million autonomous agents registered on Moltbook. Infrastructure is now mature, but the product layer is still underdeveloped. While protocols are validated, key gaps remain in discovery mechanisms, capability verification, and middleware connecting trust and payment systems. x402 has stabilized with 89.2% of services priced between $0.01–$0.10, making microtransactions viable. ERC-8004 enables composable on-chain identity, reputation, and verification for agents. Despite a 68% drop in transaction count and 77% in volume, this reflects a shift from artificial volume to organic usage, with the buyer-to-seller ratio improving significantly. The biggest opportunities lie in demand-side solutions: a unified discovery layer (an "App Store for agents"), capability benchmarking beyond payment trust, and trust-gated payment middleware integrating ERC-8004 with x402. Primary paid use cases include trading signals, compute power, and granular data access. The ecosystem is consolidating around Base and Solana. While infrastructure development is concluding, builders must now focus on application-layer products, with a critical 2–3 month window to capitalize on the transition from protocol-ready to product-ready. Key risks include data noise, security vulnerabilities, and unresolved regulatory frameworks.

Odaily星球日报02/04 07:00

In 2026, Has the AI Agent Economy Truly Started to Operate?

Odaily星球日报02/04 07:00

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