Google launches AI payments protocol with stablecoin support
Google introduces an open-source payments protocol for AI apps, featuring stablecoin integration and partnerships with Coinbase and Salesforce.
Google has unveiled a new open-source payments protocol designed to facilitate transactions between AI applications. The protocol supports traditional payment methods like credit and debit cards, as well as stablecoins—cryptocurrencies pegged to assets such as the U.S. dollar. The initiative includes collaborations with major players like Coinbase, Salesforce, and the Ethereum Foundation.
Key Features and Partnerships
- Stablecoin Integration: Google partnered with Coinbase to ensure compatibility with stablecoins, a move that aligns with the growing interest in crypto payments among Big Tech companies.
- Broad Collaboration: Over 60 organizations, including American Express and Etsy, contributed to the protocol’s development.
- Agent-to-Agent Payments: The protocol builds on Google’s earlier framework for AI agent communication, ensuring secure and intended transactions between AI systems.
The Future of AI-Driven Payments
James Tromans, Google Cloud’s Web3 lead, emphasized the protocol’s dual focus on legacy payment systems and emerging technologies like stablecoins. The goal is to enable seamless value transfer between AI agents, which could revolutionize industries like finance and e-commerce. For example, AI financial advisors could negotiate mortgages with AI bank representatives, or AI shoppers could purchase items autonomously.
Industry Trends
Google’s move reflects a broader trend among tech giants exploring stablecoins. Companies like Apple, Meta, and Shopify have also shown interest in crypto integrations. Shopify recently announced plans to roll out stablecoin payments later this year.
For more insights, check out Fortune’s Crypto Playbook vodcast.
This article highlights Google’s strategic push into AI-driven payments and the growing convergence of AI and blockchain technologies.
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About the Author

Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.