The current study investigate the developing role of Artificial Intelligence (AI) in enhancing bioremediation processes. Bioremediation, an eco-friendly pollution mitigation strategy, faces challenges such as low tolerance to contaminants and long degradation time. AI-driven techniques, particularly machine learning, provide solutions by optimizing microbial activity, predicting pollutant breakdown, and integrating with nanotechnology for increased efficiency. This bibliometric study, conducted using the Scopus database, employs tools such as VOSviewer to recognize research trends, key publications, and keyword co-occurrence. The findings indicate the growing importance of artificial intelligence in bioremediation and its potential contributions to sustainability and environmental conservation. The study indicates that the emerging interest in artificial intelligence for bioremediation will play an increasingly important role in sustaining sustainable development through increased process efficiency, cost effectiveness and environmental improvements.