This paper presents a bibliometric analysis examining the scholarly literature on the application of artificial intelligence (AI) in environmental risk management (ERM) and its financial implications. Using data from 621 peer-reviewed articles published between 2014 and 2024 in the Scopus database, the study identifies trends, key contributors, and thematic clusters in this interdisciplinary field. The analysis reveals prominent areas of research, such as the integration of AI for sustainability and corporate performance, and highlights the growing academic interest in these topics. By leveraging VOSviewer for keyword and citation mapping, the study provides an overview of the current research landscape and points out areas requiring further investigation. These findings aim to support researchers and practitioners interested in the intersections of AI, sustainability, and financial outcomes.