Web 3.0 is the new generation of the Internet that is reconstructed with distributed technology, which focuses on data ownership and value expression. Also, it operates under the principle that data and digital assets should be owned and controlled by users rather than large corporations. In this survey, we explore the current development state of Web 3.0 and the application of AI Technology in Web 3.0. Through investigating the existing applications and components of Web 3.0, we propose an architectural framework for Web 3.0 from the perspective of ecological application scenarios. We outline and divide the ecology of Web 3.0 into four layers. The main functions of each layer are data management, value circulation, ecological governance, and application scenarios. Our investigation delves into the major challenges and issues present in each of these layers. In this context, AI has shown its strong potential to solve existing problems of Web 3.0. We illustrate the crucial role of AI in the foundation and growth of Web 3.0. We begin by providing an overview of AI, including machine learning algorithms and deep learning techniques. Then, we thoroughly analyze the current state of AI technology applications in the four layers of Web 3.0 and offer some insights into its potential future development direction.

Web 3.0是基于分布式技术重构的新一代互联网，侧重于数据所有权和价值表达，旨在实现用户对数据和数字资产的控制和拥有。本文调查了Web 3.0的发展状况以及AI技术在Web 3.0中的应用，通过研究现有的应用和组件，从生态应用场景的角度提出了Web 3.0的架构框架，并将其生态划分为四个层次，包括数据管理、价值流通、生态治理和应用场景。我们调查了每个层次存在的主要挑战和问题，指出了AI在解决Web 3.0现有问题方面的强大潜力，并分析了AI技术在Web 3.0四个层次中的当前状态及其未来发展方向。

Web 3.0的人工智能：全面调查