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Breaking! Google Launches New AI Payments Protocol with Support for Stablecoins - Crypto Economy
TL;DR
Google has just announced the release of its new payments protocol designed to facilitate transactions between AI-driven apps. This new system, which is open-source, allows applications powered by artificial intelligence to send and receive payments more efficiently.
While the protocol supports conventional payment methods such as credit and debit cards, it also includes support for stablecoins, cryptocurrencies pegged to stable assets like the U.S. dollar. This is a notable shift towards embracing the growing role of crypto in the payments space.
Collaborating with Crypto Giants to Integrate Stablecoins
To bring stablecoins into this framework, Google collaborated with major players in the crypto and blockchain sectors, including Coinbase. The popular crypto exchange developed its own payment solution that integrates well with Google’s new protocol. This collaboration ensures that crypto and traditional payments can seamlessly coexist. Additionally, Google worked with the Ethereum Foundation to support decentralized finance applications within the protocol. Other partners, such as Salesforce and American Express, were involved to ensure a broad and robust range of payment options.
The new protocol’s structure addresses a crucial need in the AI industry: enabling agents—AI algorithms built for specific tasks—to manage transactions autonomously. These “agents” could range from AI personal assistants shopping on e-commerce sites to AI financial advisors liaising with banks. James Tromans, Head of Web3 at Google Cloud, emphasized that the new protocol was designed with a future-proof mindset, accounting for both current payment capabilities and the growing importance of stablecoins.

The Future of AI-Driven Commerce and Crypto Payments
As the tech world watches closely, AI-driven commerce is expected to become a significant part of the digital economy. This protocol isn’t just about making payments easier—it’s about creating a framework for AI-to-AI transactions.
Experts predict that in the near future, AI systems will increasingly interact with each other to complete tasks on behalf of their human users. For instance, an AI personal shopper could discuss preferences with an AI vendor to purchase a product, or AI financial agents could negotiate mortgage terms between banks and clients. With this protocol in place, these interactions will be secure, reliable, and legally sound.