Core Viewpoint - Jingbeifang is a leading financial technology service provider in China, expected to experience business growth beyond expectations due to the dual drivers of the accelerated implementation of the digital RMB national strategy and the deep integration of AI technology in the financial industry [1] Group 1: Over-Expectation Logic - Market expectations suggest that the advancement of digital currency is slow, and AI's application in the financial sector is also lagging, leading to a belief that these factors will not contribute to short-term performance [2] - The company believes that the pace of policy implementation is accelerating, with the digital currency rollout speeding up, as evidenced by the recent introduction of the stablecoin legislation in Hong Kong [2] - The company has established deep collaborations with banking clients and possesses full-stack service capabilities for digital currency, positioning it to benefit from the promotion of stablecoins [2] Group 2: Driving Factors - The rollout of stablecoins presents business opportunities, with the Hong Kong Legislative Council passing the "Stablecoin Ordinance" on May 21, 2025, indicating a shift in stablecoins from being mere connectors of crypto assets to becoming a new infrastructure for global financial payments [3] - Domestic large models are showing significant breakthroughs in cost and capability, leading to accelerated adoption in the banking sector, which directly benefits the company through private deployment and AI application demands [2][3] Group 3: AI Application and Product Launch - Domestic large models like Deepseek are rapidly being adopted in the financial sector due to their efficient performance, cost-effectiveness, and open-source nature, with banks prioritizing AI for various applications such as intelligent customer service and risk control [3] - The company has officially launched an AI large model service platform and four major products in 2024, catering to the private deployment and AI application needs of major state-owned and joint-stock commercial banks [3] Group 4: Performance Metrics and Catalysts - Key performance indicators include the implementation of stablecoin policy details, AI business orders, and the proportion of AI revenue [4] - Catalysts for growth include the implementation of stablecoin regulations, approval of licenses for tech giants, and the emergence of popular AI products [5] Group 5: Profit Forecast and Valuation - The company forecasts revenues of 5.147 billion, 5.685 billion, and 6.291 billion yuan for 2025-2027, with year-on-year growth rates of 11.01%, 10.46%, and 10.67% respectively, and net profits of 363 million, 416 million, and 472 million yuan, with growth rates of 16.34%, 14.63%, and 13.54% [6] - The company is compared with peers in financial technology and banking IT, with a projected PE of 44 times for 2025, while the average PE of comparable companies is 67 times, indicating a potential target stock price of 28.11 yuan, representing an upside of 54.39% [6]

2025年AI Agent元年开启，Agent成为海内外大厂兵家必争之地 智通财经APP获悉，东北证券发布研报称，考虑到较为充裕的IT预算资金、市场化的系统以及整合程度 高的内部数据，认为银行有望成为国内AI落地先锋。DeepSeek-R1推理成本仅为对标产品的1/30，推动 行业进入"AI普惠化"新阶段;与此同时，2025年AIAgent元年开启，模型、数据与场景构建核心壁垒。目 前，大行已在投研、客服、信贷审批等领域实现AI技术规模化应用。 东北证券主要观点如下： DeepSeek-R1推理成本仅为对标OpenAI o1系列的1/30，推动行业进入"AI普惠化"新阶段 自2023年7月成立以来，DeepSeek在一年多的时间内推出了多个知名的开源模型。截至2025年5月， DeepSeek发布的模型可分为通用语言模型(V系列)、推理专用模型(R系列)、多模态模型等五大类。其中 DeepSeek-R1在数学、代码和推理任务方面均达到了与OpenAI-o1相当的性能，但推理成本仅为OpenAI o1系列的1/30。该行认为，DeepSeek之所以能做到训练/推理成本优化，归功于混合专家模型(MoE)架 构、多 ...