The research explores the application of artificial intelligence (AI) in analyzing space terminology in Russian and Chinese languages. The relevance of the topic is due to the growing interest in space and the need to accurately understand the terminology used in different languages. The research aims to analyze the space-related vocabulary in Russian and Chinese through AI-driven methods and identify features and patterns related to cultural context and terminological diversity. The authors present a review of existing studies, the methodology of data collection and analysis using AI, and the results of a comparative analysis of the space lexicon of the two languages. Key thematic groups and features of terminology are identified, making it possible to better understand the influence of cultural factors on lexicon formation. The study of Russian and Chinese space vocabulary using AI makes it possible to identify the unique features of each language system and demonstrate the influence of cultural factors on the formation of scientific terminology. The main conclusions open new horizons for further linguistic research, emphasize the significance of intercultural exchange in science and technology, and highlight the importance of further research in this area, contributing to a deeper understanding of space topics in different languages.