In the decentralized architecture of Web3, the integration of AI technology can bring more intelligent and efficient functions to the system. The core of traditional blockchain relies on the consensus and verification process of miners, while the introduction of AI allows this process to be more automated and intelligent. For example, AI can conduct real-time analysis based on on-chain data, helping users make quick decisions, especially in decentralized finance (DeFi) applications, where AI can analyze market trends, user behavior, and other multidimensional data to provide personalized investment strategies. AI can also offer intelligent support in the decision-making processes of decentralized autonomous organizations (DAOs), making more accurate resource allocation and strategic decisions based on historical data and market dynamics. The automation and rapid response capability of AI agents can not only reduce the errors caused by human decision-making but also improve the system's response speed and efficiency, thus accelerating the development of Web3 applications. Meanwhile, the decentralized nature of Web3 ensures the privacy and security of data during AI analysis and decision-making processes, providing users with more trustworthy services. Therefore, the combination of AI and Web3 will significantly enhance the intelligence level of decentralized networks and drive profound transformations in the Web3 ecosystem.