Research on the Impact of DeepSeek on the Financial Industry
- DOI
- 10.2991/978-94-6463-811-0_14How to use a DOI?
- Keywords
- Deepseek; Financial industry; AI industry
- Abstract
According to the current situation of the rise of DeepSeek in the wave of AI development, and many industries will be affected. Therefore, this paper attempts to explore the future development direction of DeepSeek in the financial field. The research focuses on the impact of DeepSeek on both domestic and foreign AI markets, as well as the influence it has on companies that have already deployed relevant technologies. At the same time, the research puts forward ideas for breakthroughs in the application of AI in the financial industry, pointing out a path to development for the financial industry. DeepSeek, with its characteristics of high performance, low cost, and full open-source nature, has brought new development opportunities to the financial industry. It can not only significantly enhance the operational efficiency of financial institutions and optimize risk management but also drive financial innovation and promote the intelligent and sustainable development of the financial ecosystem.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yingtong Liu PY - 2025 DA - 2025/08/14 TI - Research on the Impact of DeepSeek on the Financial Industry BT - Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025) PB - Atlantis Press SP - 139 EP - 147 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-811-0_14 DO - 10.2991/978-94-6463-811-0_14 ID - Liu2025 ER -