  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.
