Space debris is defined as any human-made object in space that no longer serves a useful purpose. These objects can range in size from tiny paint flecks to large satellites and rocket stages. Over time, these objects undergo various chemical changes due to exposure to extreme radiation, temperature fluctuations, and other environmental factors. This research paper explores the role of artificial intelligence (AI) in understanding the chemical changes that occur on space debris as a result of exposure to extreme environmental factors. Through a review of the existing literature, it becomes evident that AI can be used to analyze vast amounts of data related to the chemical changes occurring on space debris. This includes the analysis of spectroscopic data, which can provide insights into the chemical composition of the debris. Additionally, AI can be used to model the effects of different environmental factors on space debris, allowing researchers to predict the chemical changes that may occur in the future. The paper also highlights the potential benefits of using AI in this field, such as identifying new materials that are more resistant to the harsh space environment. Overall, this paper demonstrates the significant role that AI can play in advancing our understanding of the chemical changes occurring on space debris and their potential impacts