Ethereum Updates: Ampersend Opens $30 Trillion AI-Agent Market Using Ethereum-Based Governance
Edge & Node, recognized for its contributions to decentralized infrastructure, has introduced Ampersend—a platform aimed at simplifying the management and transactions of autonomous AI agents in business environments. Revealed on October 31, Ampersend brings together automation, monitoring, and governance features, establishing itself as a leader in the developing "agentic economy," according to a
The creation of the platform was a joint effort between Edge & Node,
The introduction of Ampersend coincides with optimistic forecasts for economies powered by AI agents. A16z, a prominent venture capital firm, estimates that AI-driven procurement could hit $30 trillion by 2030, a projection mentioned in the Lookonchain article. Integrating Ethereum standards like ERC-8004 is viewed as essential for building trust and interoperability within decentralized AI networks. By allowing companies to monitor agent reputations and enforce governance, Ampersend seeks to tackle scalability and security issues in autonomous systems, as outlined in the Coinotag report.
The platform's underlying technology stands out for its broad industry relevance. For example, leveraging Ethereum’s open standards supports transparent agent identification, while the x402 protocol enables efficient value exchanges between agents. This integrated strategy merges blockchain’s permanence with the adaptability of cloud-based AI, making it attractive to businesses looking for both oversight and innovation, according to the Coinotag report.
Edge & Node’s move comes at a pivotal time, as challenges in AI governance—both regulatory and technical—persist. The partnership with the Ethereum Foundation’s decentralized AI group reflects a wider industry initiative to standardize agent conduct and maintain accountability. At the same time, the participation of Coinbase and Google demonstrates strong belief in the commercial potential of AI-powered processes, as concluded in the Lookonchain article.
