Abstract
This study aims to see the development of research on the topic of "AI on Finance" and research plans that can be carried out based on journals published on the theme. This research uses qualitative method with bibliometric analysis approach. The data used is secondary data with the theme "AI on Finance" which comes from the Dimension database with a total of 127 journal articles. Then, the data is processed and analyzed using the VosViewer application with the aim of knowing the bibliometric map of research development "AI on Finance" in the world. The results of the study found that in bibliometric author mapping the authors who published the most research with the theme "AI on Finance" were Bhattacharjee A; Al-Gasaymeh A.S; Arakpogun E.O; Wang X; Sharma S; Arner D.W; Yang J; Krishna S.H; Khan S; Singh R; Bansal R; Raffinetti E; and Marwala T. Furthermore, based on bibliometric keyword mapping, there are 5 clusters with the most used words are development; challenge, accounting, opportunity, economy, blockchain, and use. Then, the research path topics related to AI on Finance are AI in Islamic Finance, Enterprise AI Development in Finance, AI in Behavioral Finance, Green Finance and AI, and AI Access in Accounting.
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