With the development of artificial intelligence technology, the unequal access to artificial intelligence, known as the “AI divide” phenomenon, is gradually becoming prominent. Using literature from the Web of Science database as corpus and identifies relevant topics under the topic of “Artificial Intelligence Divide” based on LDA model, text analysis was conducted through manual encoding. Finally, four core research themes such as intellectual barriers, digital education, healthcare and social effects are identified and summarized, the current situation and gaps in technological knowledge gaps, awareness gaps, digital education inequality and the unfair application of artificial intelligence in the healthcare field is revealed. Meanwhile, the social effects of the artificial intelligence divide, including ethical and cultural dilemmas, cultural convergence and social inequality, are also important factors affecting social structure and individual lives. This article aims to deepen the understanding of the core theme of the “artificial intelligence divide” and help artificial intelligence enhance human well-being and social progress.