智通财经网·2025-11-18 13:11Core Insights - The financial industry is at a pivotal point for the application of AI, driven by both internal industry needs and external policy support [1][2] - The release of DeepSeek R1 in 2025 is expected to significantly enhance general model reasoning capabilities and reduce costs, marking a turning point for localized AI deployment in financial institutions [1][2] - AI applications are rapidly penetrating core business areas and back-office functions within various financial institutions, potentially restructuring business processes and organizational frameworks [1] Industry Drivers - The combination of internal IT spending growth and external policy frameworks is propelling the transition from "digital intelligence" to "artificial intelligence" in financial institutions [2] - Since 2024, there has been a noticeable acceleration in bidding related to large models within the financial sector, indicating strong internal demand for AI solutions [2] Technological Pathways - There are two primary technological pathways for integrating AI in finance: training general models with financial data and developing specialized financial models tailored to industry-specific challenges [2] - The release of the DeepSeek R1 reasoning model is a significant milestone for the localized deployment of AI in financial institutions, enhancing the ability to address complex financial issues [2] Application Focus - Future research and development will focus on AI agents, particularly multi-agent collaboration, which is essential for tasks requiring long-term planning and execution in financial scenarios [2] - Current applications of AI in finance predominantly involve "short thinking" tasks such as understanding, Q&A, and information extraction, with a shift towards more complex, long-process tasks anticipated [2]