Core Insights - The banking industry is experiencing a dichotomy in attitudes towards AI application, with some professionals expressing skepticism while others advocate for its integration [1][2][3] - Many banks are reflecting on the necessity of AI and digital transformation, emphasizing practical applications rather than adopting technology for its own sake [3][4] - A notable trend is the increasing urgency among certain banks to enhance their digital capabilities and AI deployment, with some even incorporating data transformation rates into performance metrics [3][5] Group 1: AI Application in Banking - Numerous banks are exploring AI capabilities across various business scenarios, including customer service, wealth management, and risk control [5][6] - AI is being utilized to enhance customer interactions, with intelligent customer service systems leveraging existing semantic understanding and workflow capabilities [5][6] - In wealth management, banks are using AI to analyze customer preferences and market conditions to create tailored investment portfolios [5][6] Group 2: Challenges and Realities - Despite the enthusiasm for AI, many banking professionals express concerns about the effectiveness of AI in core business functions, particularly in customer service [2][3] - Some banks have invested heavily in AI infrastructure, such as GPU clusters, but the actual utilization rates do not justify the expenditures [3][4] - There is a recognition that technology should not be pursued for its own sake, and banks need to focus on integrating AI into practical business applications [3][4] Group 3: Future Outlook - As banks approach the release of their semi-annual reports, there is anticipation regarding more genuine disclosures about AI technology applications and digital transformation efforts [6] - The ongoing development of proprietary AI models tailored to banking needs is expected to enhance the effectiveness of marketing, customer service, and risk management [6] - The evolution of AI in banking is seen as a gradual process, requiring time for both employees and the market to adapt to these changes [6]

Core Viewpoint - The article discusses the contrasting perspectives among banking professionals regarding the application of AI in the industry, highlighting both skepticism and enthusiasm towards digital transformation and AI integration [1][2]. Group 1: Attitudes Towards AI and Digital Transformation - Many banking professionals express a cautious approach, emphasizing the need for practical applications rather than adopting AI for its own sake [2][3]. - There is a growing realization among banks that digital transformation should not merely be a superficial exercise, as evidenced by the proliferation of various AI agents claiming to empower banking functions [2][4]. - Despite the enthusiasm for AI, some banks struggle with the effective implementation of AI tools, leading to increased manual work rather than streamlining processes [3][5]. Group 2: Practical Applications of AI in Banking - Banks are increasingly utilizing AI in various business scenarios, including customer service, wealth management, risk control, and credit assessment [6][7]. - Common applications of AI include intelligent customer service that leverages existing capabilities to assist customer managers, and AI-driven investment portfolio customization based on client preferences [6][7]. - AI is also being employed in fraud prevention by analyzing customer behavior and transaction characteristics to enhance identification accuracy [6][7]. Group 3: Differentiation Among Banks - A divide is emerging among banks regarding their approach to digital transformation, with some adopting a more aggressive stance towards AI deployment and others taking a more passive approach [5][6]. - Certain banks are incorporating AI into less common areas, such as financial market operations, and are setting performance metrics related to AI utilization [5][6]. - The ongoing evolution of AI applications in banking reflects a gradual but significant transformation, with banks recognizing the need for time to fully realize the benefits of AI technology [7].