Why the next wave of AI Agent craze will be based on Web2 AI standard framework

Author: Haotian

Why do I assert that the next wave of AI Agent hype will definitely be based on web2AI standard framework protocols such as MCP + A2A? The logic behind it is very simple:

1. The dilemma of web3 AI agents lies in over-conceptualization, where narrative surpasses practicality. When discussing the grand vision of decentralized platforms and user data sovereignty, the actual user experience of product applications is often dismal. Especially after having experienced a round of conceptual bubble cleansing, there are very few retail investors willing to pay for grand and unfulfilled expectations.

2. The rapid rise of protocols and standards like MCP and A2A in the web2 AI field and their significant momentum within the AI community stem from their “visible and tangible” pragmatism. MCP is like the USB-C interface of the AI world, allowing AI models to seamlessly connect to various data sources and tools, and there are already many practical cases of MCP.

For example: Some users can directly use Claude to control Blender to create 3D models, while some UI/UX practitioners can generate complete Figma design files using natural language. Some programmers can also directly use Cursor to accomplish code writing, supplementation, and Git submission in one go, among other operations.

3. Previously, everyone expected that web3 AI Agents would be able to give birth to innovative applications in the two major vertical scenarios of DeFi and GameFi. However, in reality, many similar applications are still stuck at the level of “showcasing skills” in natural language processing interfaces and do not meet the threshold of practicality.

By combining MCP and A2A, a more powerful Multi-Agent collaborative system can be constructed, which decomposes complex tasks for specialized Agents to handle. For example, an analysis Agent can read on-chain data and analyze market trends, linking with other prediction Agents and risk control Agents, transforming the previous approach where a single Agent executed tasks into a paradigm of collaborative division of labor among multiple Agents.

Above, all successful application cases of MCP provide successful examples for the birth of the new generation of trading and gaming Agents in web3.

In addition to these, the hybrid framework standards based on MCP and A2A also have advantages such as user-friendliness for web2 users and the speed of application implementation. Currently, we only need to consider how to combine the value capture and incentive mechanisms of web3 with application scenarios like DeFi and GameFi. If a project continues to adhere strictly to the pure conceptualism of web3 while refusing to embrace the pragmatism of web2, it is likely to miss the next wave of the new trend of AI Agents.

In short, the next wave of AI Agent’s new momentum is brewing, but it will no longer be the past attitude of purely narrating and hyping concepts; it must rely on pragmatism and practical applications to be sustainable.