AI Agent Collaboration: Virtuals Protocol Leads the Trillion-Dollar Economic New Era

As the performance of AI models stabilizes, the industry's focus is shifting from technology development to practical applications. AI agents, as proactive systems, are capable of comprehensively understanding tasks and making autonomous judgments, and they are becoming the center of attention. However, the limitations of individual agents make specialized collaboration essential.

Currently, there is a lack of standardized collaboration systems among agents. The Virtuals protocol addresses this issue through the Agent Commercial Protocol (ACP). ACP standardizes and automates agent collaboration through four stages: "Request - Negotiate - Trade - Evaluate," allowing agents from different platforms to achieve smooth collaboration.

Through ACP, agents can operate as autonomous economic entities around the clock. On-chain hedge funds and autonomous media production have already proven their potential. Currently, approximately 1 million agents generate $1 billion in value each year, and it is expected to reach $1 trillion by 2035.

The Virtuals protocol initially attracted market attention as a proxy launch platform and has now expanded into a proxy business infrastructure. The ACP standardized the trading methods between proxies, providing new growth momentum for the entire ecosystem.

The four main stages of ACP—request, negotiation, transaction, and evaluation—are similar to the process of traditional companies issuing requests for proposals, but are automated through smart contracts. This structure enables agents to automatically perform tasks, receive compensation, and work continuously 24/7.

On-chain hedge funds and the ever-active media production factory are typical cases of ACP applications. In these systems, agents with different expertise collaborate through ACP to achieve continuous operation and autonomous decision-making.

The agency economy is no longer just an imagined story. The rapid development of technological foundations, such as the significant reduction in AI inference costs and the emergence of high-performance open-source models, provides favorable conditions for the growth of the agency economy. However, further improvements are still needed in areas such as privacy protection. As technology continues to improve, the potential of the agency economy is expected to expand further, bringing revolutionary changes to various industries.