Opportunities and Challenges of Generative-AI in Finance

Gen-AI techniques are able to improve understanding of context and nuances in language modeling, translation between languages, handle large volumes of data, provide fast, low-latency responses and can be fine-tuned for various tasks and domains. In this manuscript, we present a comprehensive overview of the applications of Gen-AI techniques in the finance domain. In particular, we present the opportunities and challenges associated with the usage of Gen-AI techniques. We also illustrate the various methodologies which can be used to train Gen-AI techniques and present the various application areas of Gen-AI technologies in the finance ecosystem. To the best of our knowledge, this work represents the most comprehensive summarization of Gen-AI techniques within the financial domain. The analysis is designed for a deep overview of areas marked for substantial advancement while simultaneously pin-point those warranting future prioritization. We also hope that this work would serve as a conduit between finance and other domains, thus fostering the cross-pollination of innovative concepts and practices.

@article{desai2025_2410.15653,
  title={ Opportunities and Challenges of Generative-AI in Finance },
  author={ Akshar Prabhu Desai and Ganesh Satish Mallya and Mohammad Luqman and Tejasvi Ravi and Nithya Kota and Pranjul Yadav },
  journal={arXiv preprint arXiv:2410.15653},
  year={ 2025 }
}