A New Era of AI Agent Collaboration: Exploring the Potential of Agent Business Protocols

As the performance of AI models stabilizes, the focus of the industry is shifting from technological development to practical applications. AI agents, as proactive systems, are gradually becoming the center of attention as they can comprehensively understand tasks and make autonomous judgments. However, the limitations of individual agents make specialized collaboration crucial.

The main challenge faced by current AI agents is the lack of standardized collaboration systems. Each field requires different expertise, and a single agent cannot be an expert in all areas. If different agents could collaborate based on their respective specialties, more accurate service delivery could be achieved. However, there are many issues in the process of enabling multiple agents to work together, such as scope of work, quality standards, pricing, and delivery assessment.

To address these issues, the agency ecosystem requires a standard protocol to structure and automate collaboration between agents. The agency commercial protocol (ACP) has emerged, which standardizes the trading methods between agents and builds an environment that allows agents from different platforms to collaborate and trade smoothly.

ACP includes four main stages: request, negotiation, transaction, and evaluation. This process is similar to the traditional company's request for proposal process, but it is automated through smart contracts. For example, in a case of opening a lemonade stand, the management agent can request tasks such as writing a business plan and developing a marketing strategy from professional agents through ACP.

The introduction of ACP is expected to lead to a fundamental transformation of the agency ecosystem. Through ACP, agents can automatically execute tasks and receive compensation 24/7 without being constrained by physical limitations and time restrictions. This creates possibilities for a whole new dimension of business models.

For example, on-chain hedge funds can achieve 24/7 market analysis, risk management, and portfolio optimization through the collaboration of different specialized agents. Similarly, media production factories can also operate autonomously around the clock, with specialized agents dividing the work to handle all processes from planning to production to distribution.

The scale of the agency economy is rapidly expanding. It is expected that by 2025, about 1 million public agents will be operating on-chain, generating an estimated total agent output value of around $1 billion annually. If this trend continues, by 2035 its scale could grow to $1 trillion.

Although ACP performs excellently in terms of security, improvements are still needed in privacy protection, especially regarding sensitive transaction information and business logic. With the development of zero-knowledge proof technology, these limitations are expected to be gradually overcome. As the technology continues to improve, the potential of the proxy economy is expected to expand further, bringing revolutionary changes to the future business world.