Deep Integration of Artificial Intelligence and FinTech: Application Scenarios, Practice Cases, and Governance Pathways
DOI:
https://doi.org/10.65196/v53f9s67Keywords:
artificial intelligence, FinTech; financial large models, intelligent risk contro, cross-border payments, regulatory technology (RegTech), inclusive financeAbstract
In the digital economy era, the key for the financial industry to keep pace with the times lies in rapidly adapting to and appropriately leveraging iterative technologies to empower finance, making it more “precise,” “rapid,” and “secure.” Confronted with a fast-changing market environment, the deep application of artificial intelligence (AI) facilitates innovation in product forms, service models, and business processes within financial institutions. Through the use of intelligent algorithms, deep learning, and data mining, innovative solutions are proposed for subfields such as green finance and technology finance, further advancing the digital-intelligent transformation of financial services, reshaping the connotation and extension of the financial industry, and effectively improving the quality and efficiency with which finance serves the real economy. AI has become the core engine driving FinTech innovation; via the co-evolution of “data integration–algorithmic evolution–computing power support,” it reshapes the boundaries of financial services. This paper reviews the differentiated practices of the Industrial and Commercial Bank of China (ICBC), Agricultural Bank of China (ABC), Bank of China (BOC), China Construction Bank (CCB), Bank of Communications (BoCom), and China Merchants Bank (CMB); constructs a regulatory system featuring “tiered and categorized approaches + regulatory technology (RegTech) + international coordination”; and, in response to challenges such as talent gaps (120,000 in 2024) and insufficient technological maturity, proposes countermeasures of “industry–academia–research cultivation, finance-oriented optimization, and multi-dimensional risk control.” The study shows that in 2024 China’s AI penetration in finance reached 48.7%, with average industry operational efficiency improving by 35%. Looking ahead, the sector will move toward greater “precision, security, and inclusiveness.”