Based on the data of Baidu search index of ChatGPT from December 2022 to June 2023 this article analyzes the evolution characteristics and influence mechanism of generative artificial intelligence (GenAI for short) attention degree by the ArcGIS, multivariable linear regression model, and spatial econometric model. The results show that: 1） GenAI attention degree showed the inverted-V evolution trend in China during the research period. 2) GenAI attention degree had the characteristics of regional agglomeration, which initially showed the distribution of a giant block shape with the Shandong Peninsula, the Yangtze River Delta and the Pearl River Delta as the cores, later evolved into the distribution of a small block shape.
3) Scientific and technological development, corporate development, advanced industrial structure, education level, degree of opening up, digital infrastructure and government support all had a significant positive effect on GenAI attention degree, and in addition to the digital infrastructure, the other influencing factors have the spatial spillover effect, which is the main reason for the regional aggregation of GenAI attention degree. Based on the research conclusions, this article proposes some suggestions that are increasing the technological investment and policy support for high-tech cities, establishing a high-level talent training system, improving relevant regulations and ethical standards to promote the development of GenAI industry and optimize the layout of high-tech industry.