Discussion on the Future Development Direction of AI and Crypto Assets Combination

After recent discussions with some entrepreneurs and investors, I found that everyone still has confidence in the prospects of combining AI and Crypto Assets, but there is some confusion regarding the development direction of Web3 AI agents. In response to this situation, here are a few potential development trends for industry professionals to consider:

1. AI agency projects rely solely on token economics, which makes it difficult to sustain. If there is a lack of actual product-market fit, projects that operate solely on token mechanisms are likely to be labeled as pure speculation, with little relevance to the essence of AI.

2. The development sequence of the AI ecosystem may change. After the bubble of the AI agent market bursts, agents may become carriers of mature technologies such as large language models and data algorithms. AI agent projects without core technology support will find it difficult to stand out.

3. Platforms that provide AI data, computing power, and algorithm services may surpass simple AI agents and become the market focus. AI agents developed by these platforms may be more persuasive in the market due to their stronger teams and technological foundations.

4. Web3 AI agents need to find differentiated development directions, rather than directly competing with Web2 teams. Web3 AI agents should innovate by combining the distributed consensus architecture of blockchain, rather than overly emphasizing low-cost deployment.

5. The advantage of AI agents lies in "application pre-positioning", but enriching the protocol content and simplifying applications is key. It is necessary to explore how to utilize idle computing power resources, apply distributed architecture, and achieve breakthroughs in vertical fields such as finance, healthcare, and education. At the same time, the autonomous management of assets, trading, and multimodal interactions by AI agents needs to be gradually realized.

6. MCP protocols in the Web2 domain and technologies such as Manus for automated execution of multimodal tasks can inspire innovations in Web3. Solutions tailored for Web3 application scenarios could be developed based on these technologies, or a distributed collaboration framework could be used to enhance the business scenarios of MCP. The focus should be on leveraging the unique advantages of Web3 rather than attempting to overturn everything. Whether in Web2 or Web3, driving the development of AI technology is the most important.