文章使用内容分析和主题词共现网络分析对我国人工智能发展水平3个不同梯队的9个省市及国家层级的10项人工智能发展规划政策文件进行了研究，旨在揭示各项政策文本内容的主题分布结构特征，从而为进一步解读相关文件提供参考，也为未来政策文件制定、优化及相关研究提供借鉴。研究发现：基础理论研究与关键共性技术创新是人工智能发展原驱动力；人工智能示范应用工作是政策布局的关键组成部分；各省市根据其经济基础、产业结构、社会文化特征等因素对未来人工智能发展进行规划，其人工智能政策主题分布存在显著差异；各省市人工智能政策共现网络相似度与其智能发展水平梯队分类无明显关联。

This study analyzes one national and nine local Artificial Intelligence (AI) policy and planning texts published by different provinces and cities at different development levels. The purpose is to reveal the topic structure and features in the texts. The results indicate: basic research and key technology is important motivation of AI industry; the demonstration project of AI application is a key component of policies; the provinces and cities make AI development planning based on the development of economic foundation, industry structure, and social cultural characteristics. The distribution of topics is obviously different. The study also indicates that there are no salient relationships between cooccurrence network similarity and the development levels in AI industry.