转自：新华财经 当前，机器人技术正处于爆发式创新与规模化应用的关键阶段，金融资本与产业发展的深度协同融合成为加速赛道进阶的核心动力。为构建金融与产业双向 赋能生态，持续助推机器人产业落地，12月5日，广投集团在广西柳州召开综合金融服务支持机器人产业发展专场活动，正式发布综合金融赋能机器人产业 发展的"广投模式"。 此次活动是广投集团继机器人产业合作发展推进会、机器人材料及关键零部件专场活动后，以自身综合金融优势深度融入机器人产业发展链条的又一务实举 措。活动现场汇聚了北京洛必德、时代骐骥、极目智控、中科第五纪、柳州具身智能、桂林电子科技大学、广西人工智能学院等机器人产学研头部机构，以 及广投集团旗下金融企业、在柳企业代表。 广投集团党委副书记、副董事长、总经理刘明洪在致辞中表示，广投集团已初步构建起体系化、规模化的机器人产业金融服务生态。截至目前，集团金融板 块累计为机器人产业链83家企业提供综合金融解决方案，支持规模超百亿元。面向未来，广投集团将持续深化"产融投"协同发展战略，以"广投模式"为抓 手，整合柳州工业基础、企业创新活力、院校人才资源与金融资本力量，构建覆盖"研发—孵化—产业化"的全链条服务体系， ...

Core Insights - The financial industry has a high demand for specialized talent who understand both business and technology, which is currently hard to find [1] - Guotai Junan Securities aims to develop a self-cultivation system for talent, encouraging business personnel to actively participate in AI application implementation [1] - The company believes that composite talent will play a crucial role in the large-scale application of future model products [1] Group 1 - The financial sector requires professionals who are proficient in both business and technology, highlighting a gap in traditional educational models [1] - Guotai Junan is exploring a "Finance + AI" talent cultivation model to better align with industry needs [1] - The firm has designed a "business personnel participation mechanism" to lower the technical barriers for employees [1] Group 2 - The initiative aims to empower business personnel to independently address practical issues in their work through AI [1] - Guotai Junan seeks to continuously expand its talent pool by fostering internal practices and innovative mechanisms [1] - The emphasis on composite talent is seen as vital for the future scalability of AI applications within the company [1]

Core Insights - The financial industry is undergoing a profound AI technology revolution, with traditional service models facing growth bottlenecks and consumer expectations shifting towards instant intelligent responses [1] - Yiren Zhike is actively exploring AI as a core strategy for business growth, emphasizing that AI is no longer optional but essential for survival and development [1][3] Group 1: AI Strategy and Implementation - Yiren Zhike's CEO, Tang Ning, announced a three-phase AI strategy focused on "optimization, empowerment, and incubation" to drive company progress [3] - The short-term goal is to optimize existing business operations using AI to address efficiency and user experience issues [3] - The mid-term objective includes productizing technical capabilities to offer "AI + finance" solutions to other industries [3] - The company aims to incubate AI-native businesses and foster strategic investments and collaborations with early-stage AI startups [3] Group 2: AI Integration in Operations - AI technology has permeated Yiren Zhike's operations, with the "Zhiyu Model" being applied in internal office scenarios, enhancing meeting minutes extraction and real-time multilingual translation [3][4] - The AI-driven customer service robots can operate 24/7 to address consumer inquiries, while AI risk control systems utilize big data and machine learning for real-time risk monitoring and fraud detection [4] - Yiren Zhike has established a mechanism for identifying black and gray market activities, successfully identifying over 20,000 suspected users [4] Group 3: Challenges and Ecosystem Development - The transition to AI is not without challenges, including the need to effectively integrate AI technology with specific business scenarios and the pressure of high R&D investments on short-term profitability [5] - Yiren Zhike is exploring various paths to strengthen the integration of technology research and application, avoiding the pitfall of "AI for AI's sake" [5] - The company is committed to building an open ecosystem and fostering strategic collaborations to leverage industry resources for rapid breakthroughs [5] Group 4: Investment in R&D - Yiren Zhike's transformation is supported by significant investments in AI, with R&D expenditures reaching 412 million yuan in 2024, a 176.51% increase year-on-year [6] - In the first quarter of 2025, R&D investment was 86 million yuan, reflecting a 109.75% year-on-year growth [6] - The company plans to continue increasing R&D efforts to enhance AI innovation and application levels while ensuring data security and regulatory compliance [6]

Core Insights - The 2025 Bay Area (Shenzhen) Financial + AI Ecological Conference and Digital Financial Talent Season was launched on April 10, 2023, marking the establishment of the first Financial + AI Ecological Alliance in China and the release of over 20 "Financial + AI" application scenarios [1][2] Group 1 - The financial industry faces challenges in the application of large model technology, including obstacles in technology integration, insufficient data governance efficiency, and a shortage of AI interdisciplinary talent that need to be addressed [1] - The Shenzhen Financial Technology Association, under the guidance of the Shenzhen Municipal Financial Office and the Futian District People's Government, has been exploring application scenarios for large models in core financial areas since the end of February 2025 [1] - The conference featured the release of the "Shenzhen Financial + AI Application Scenario Matrix," which includes core application scenarios across banking, securities, insurance, funds, and cross-border finance, establishing an initial framework for the application scenarios [1] Group 2 - The newly established Shenzhen Financial + AI Alliance will focus on application cooperation scenarios, aiming to promote the implementation of these scenarios and form working groups for innovative exploration and application [2] - The alliance will enhance industry communication by organizing various activities to provide member units with opportunities for learning and sharing successful experiences and models [2] - The alliance aims to foster innovative cooperation by establishing a collaborative mechanism between industry, academia, and research, promoting deep cooperation among financial institutions, technology companies, universities, and research institutions to create an integrated innovation ecosystem [2]