With the vigorous and healthy development of China’s new financial industry and the breakthrough development of artificial intelligence and robotics, the financial industry is constantly accelerating its own digital and intelligent transformation to enhance its core competitive advantage. The application and development of intelligent robots is not only an epitome of its development process, but also a top priority in promoting its transformation and upgrading. Based on the research and analysis of the core motivations of financial institutions to deploy intelligent robots, this paper comprehensively focuses on the differences in the development of intelligent robots at home and abroad, especially analyzing the application process of intelligent robots in Chinese financial institutions under the strong support of the Chinese government, deeply understands the application motivations behind it, and explores the significant roles and contributions of intelligent robots in reducing the operating costs of the financial industry, reducing operating risks, building intelligent integrated platforms, and forming new competitive advantages. Furthermore, it provides development suggestions focusing on different application motivations, and proposes to further deepen the integrated development of artificial intelligence and the financial industry through specific methods such as strengthening reasonable supervision and establishing a multi-level talent system, improve the operating efficiency and profitability of financial institutions, bring about a leap in product and service quality, promote the transformation and upgrading of the financial industry, and win broader prospects and development space.
Chen, Q. (2022). Reflection on the practical framework and construction mechanism of intelligent finance development: Based on the perspective of business applications. Financial Theory and Practice, (01), 39–48.
Di, M. (2024). Intelligent robots accelerate the intelligent transformation of bank branches. China Finance, (07), 72–73.
Huang, L., & Li, C. (2017). The impact of intelligence on the banking industry and corresponding strategies. Economic Journal, (10), 108–113.
Jiang, T. (2023). Research on the practical path of artificial intelligence in the financial field from the perspective of financial technology. Financial Customer, (11), 1–3.
Minfeng, L., & Zugang, W. (2021). The Current Situation, Problems and Countermeasures of Artificial Intelligence Application in the Financial Industry: A Sample Analysis Based on the Application of Digital Robots in Commercial Banks. Financial Technology Era, 29(01), 14-22.
Li, H., & Wang, T. (2022). The trend of artificial intelligence patent applications and high-value patent cultivation ideas in the field of smart finance. China Financial Computer, (03), 64–67.
Li, G., & Zhang, Q. (2019). Mechanism and countermeasures for cultivating new competitive advantages in China's financial services trade: Based on the perspective of financial technology. International Trade, (10), 80–89. https://doi.org/10.
Ma, Z. (2023). Exploration of the impact of digital finance on the risks of commercial banks. Industrial Innovation Research, (11), 13–15.
Pan, L. (2016). Machine for human promotes intelligent transformation of financial services. China Financial Computer, (05), 59–63.
Qian, B. (2023). The impact of cutting-edge technology on financial development. New Finance, (12), 4–7.
Shen, Z. (2018). A brief discussion on the application status and development prospects of service robots. Research on Communication Power, 2(27), 247.
Tian, J. (2024). The control philosophy and financial applications of artificial intelligence. China Finance, (23), 104.
Wang, X. (2015). The current status, applications, and development trends of intelligent robots. Science and Technology Vision, (33), 98–99.
Yan, M. (n.d.). Actively promoting the healthy and sustainable development of new financial formats in China. Journal of Zhongzhou Uni.
Tong, L., Song, Q., & Zhang, W. (2025). Intelligent Service Robots in Banking: What Drives Organizational Adoption Intentions? International Journal of Academic Research in Business and Social Sciences, 15(8), 2067–2076.
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