Future Development Directions of the AI + Crypto Track

In recent communications with entrepreneurs and investors, there is a general belief that the prospects of combining AI with cryptographic technology remain bright, but there is some confusion regarding the development path of Web3 AI Agents. Here are a few potential development directions for industry professionals to consider:

1. The AI Agent project needs more substantive content. Projects that rely solely on token economics without practical application scenarios can easily be labeled as hype. In the future, projects without product-market fit support will struggle to sustain.

2. The sequence of AI technology implementation may change. When the Agent market becomes more rational, it may become a carrier for mature technologies such as large model fine-tuning and data algorithms. AI Agent projects without core technology support will find it difficult to stand out.

3. AI infrastructure projects may become a new focus. Platform-based projects that provide services such as data, computing power, and algorithms may surpass pure Agent projects and gain more attention. These types of projects typically have stronger technical capabilities and team backgrounds.

4. Web3 AI Agents need to seek differentiated advantages. They should not compete head-on with Web2 projects, but rather fully utilize the distributed consensus architecture of blockchain to explore innovative directions. Overemphasizing low-cost deployment may trigger asset bubbles.

5. The AI Agent should focus on the logic of "fat protocols and thin applications." The key lies in how to build a strong protocol layer, mobilize idle computing resources, reduce the cost of algorithm applications, and activate vertically segmented scenarios. At the same time, the application layer needs to gradually realize functions such as autonomous management, trading, and multimodal interaction for the AI Agent.

6. Web3 projects can draw inspiration from innovations in the Web2 field. For example, developing applications suitable for Web3 scenarios based on MCP protocol and Manus for automating multimodal executions. The focus should be on leveraging the unique advantages of Web3 rather than disrupting existing technologies. Promoting the development of AI technology is the ultimate goal and should not be overly constrained by the ideological battle between Web2 and Web3.