刘铁斌表示，要构建促进人工智能健康发展的行业生态。探索建立差异化分类监管框架，依据人工智能 应用的影响和潜在风险，实施分级分类监管。积极推进"人工智能+资本市场"专项试点，尽快形成可复 制推广的实践案例。布局人工智能中试基地，搭建创新应用验证平台，促进算力、数据、模型等资源集 约共享。推动资本市场智能计算基础设施与法律法规、行情、信息披露等重点领域高质量数据集建设。 加强资源要素支持，研究完善激励措施，强化人才队伍建设，鼓励产学研用协同创新。 构建规范应用人工智能的机构生态。健全治理架构和战略规划，统筹业务、科技、合规、风控等各个条 线，确保人工智能应用与机构自身发展相匹配。严格遵守国家人工智能伦理准则与社会公序良俗，确保 人工智能应用始终与法律法规、监管规定、伦理规范保持一致。加强信息披露和投资者保护，清晰标识 人工智能生成内容，保障投资者知情权与选择权，强化个人信息保护。强化数据治理，使用权威可信的 数据来源，完善全流程数据管理规范，切实提升数据质量，夯实人工智能应用基础。完善风险评估与应 急处置机制，对中高风险业务场景进行持续监测，提升风险处置能力。 要严格遵守国家和行业监管要求。刘铁斌表示，确保内容合 ...

二是构建规范应用人工智能的机构生态。刘铁斌表示，要健全治理架构和战略规划，统筹业务、科技、 合规、风控等各个条线，确保人工智能应用与机构自身发展相匹配。严格遵守国家人工智能伦理准则与 社会公序良俗，确保人工智能应用始终与法律法规、监管规定、伦理规范保持一致。同时，加强信息披 露和投资者保护，清晰标识人工智能生成内容，保障投资者知情权与选择权，强化个人信息保护。强化 数据治理，使用权威可信的数据来源，完善全流程数据管理规范，切实提升数据质量，夯实人工智能应 用基础。此外，完善风险评估与应急处置机制，对中高风险业务场景进行持续监测，提升风险处置能 力。 （上接1版） 三是严格遵守国家和行业监管要求。刘铁斌表示：确保内容合规，建立内容围栏与输出核查机制；高风 险应用场景通过人工核验与小模型校验，确保输出内容合规；防范数据安全风险，加强数据安全管理， 防范违规采集、数据滥用、信息泄露、违规跨境流动、"数据投毒"等风险隐患；强化网络安全管理，提 升系统防御能力，保障人工智能相关信息技术系统安全稳定运行；增强模型管理能力，建立覆盖安全、 合规、服务能力等维度的模型评价体系，提升模型选型和日常管理能力；规避人工智能固有的局 ...

登录新浪财经APP 搜索【信披】查看更多考评等级 上证报中国证券网讯（记者 汤立斌）中国证监会科技监管司副司长刘铁斌12月28日在中国财富管理50 人论坛2025年会上表示，证监会持续密切跟踪人工智能技术在资本市场的应用态势与发展趋势，遵循人 工智能技术自身发展规律，稳步提升资本市场人工智能应用水平，引导证券期货行业把握人工智能等新 一代信息技术带来的发展机遇，推动人工智能成为驱动资本市场高质量发展的重要变革性力量。 刘铁斌表示，回顾2025年，资本市场积极探索人工智能应用，呈现出良好的发展态势。从行业机构应用 来看，呈现"证券行业引领、基金期货跟进、头部机构示范"的特征。在应用场景方面，人工智能已覆盖 投资研究、融资服务、投资者服务、内控管理、信息科技及监督管理等核心领域。 "同时，人工智能在资本市场的深化应用仍面临挑战。"刘铁斌认为，从应用层面看，数据标准不统一、 高质量数据源不足与大模型"幻觉"的问题较为突出，算力供给与成本压力也制约了AI技术的规模化、深 度化应用。从监管层面看，适配人工智能技术特性的差异化监管规则尚未成熟，监管的精准性、前瞻性 有待提升，制度供给仍需加强。从风险层面看，网络安全、数据 ...

Core Viewpoint - The China Securities Regulatory Commission (CSRC) is actively monitoring the application and development trends of artificial intelligence (AI) in the capital market, aiming to enhance the application level of AI while ensuring compliance and innovation [1][2]. Group 1: AI Application in Capital Markets - The capital market has shown a positive trend in exploring AI applications, characterized by leadership from the securities industry, followed by funds and futures, with leading institutions setting examples [1]. - AI applications have expanded to core areas such as investment research, financing services, investor services, internal control management, information technology, and regulatory supervision [1]. Group 2: Challenges in AI Application - Challenges include non-unified data standards, insufficient high-quality data sources, and issues related to large model "hallucinations," which hinder the large-scale and in-depth application of AI [2]. - Regulatory frameworks tailored to the characteristics of AI technology are still maturing, and there is a need for improved precision and foresight in regulation [2]. - Traditional risks such as cybersecurity and data security remain significant, alongside emerging risks like "data poisoning," which require enhanced risk management capabilities [2]. Group 3: Strategic Framework for AI Development - The basic work approach for building a healthy AI ecosystem in the capital market includes balancing innovation promotion with regulatory compliance, respecting technological evolution, and collaborating across industry and institutional ecosystems [2][3]. - Key strategies involve establishing a differentiated regulatory framework, promoting pilot projects for "AI + capital market," and enhancing resource sharing for computing power, data, and models [3]. Group 4: Institutional Ecosystem for AI - Institutions are encouraged to develop governance structures and strategic plans that align AI applications with their development, ensuring compliance with national ethical standards and legal regulations [3]. - Emphasis is placed on improving data governance, using authoritative data sources, and enhancing data quality to support AI applications [3]. - Institutions must establish risk assessment and emergency response mechanisms to monitor high-risk business scenarios continuously [3]. Group 5: Compliance and Risk Management - Compliance with national and industry regulations is critical, including establishing content compliance mechanisms and preventing data security risks [4]. - Strengthening network security management and enhancing model management capabilities are essential for ensuring the safe operation of AI-related information technology systems [4]. - A collaborative mechanism involving human oversight and model assistance should be established to mitigate the inherent limitations of AI [4].

Group 1 - The core viewpoint emphasizes the need for a capital market that supports technological innovation, which requires a more inclusive venture capital market and a less aggressive secondary market [1][2] - The "14th Five-Year Plan" outlines seven development goals focused on the real economy and technological innovation, necessitating strong support from the capital market [1] - Technological innovation is characterized by long cycles, high uncertainty, and high failure rates, which necessitates a more accommodating venture capital environment [1] Group 2 - A less aggressive secondary market is essential for providing a stable environment for innovative companies, which includes five key aspects: strong anti-takeover provisions, moderate stock liquidity, long-term institutional investors, reduced analyst pressure, and less frequent information disclosure [2] - Strong anti-takeover provisions, such as dual-class share structures, can protect the stability of company control and encourage innovation [2] - Moderate stock liquidity is linked to innovation, where low liquidity can be beneficial, but excessive liquidity may attract short-term investors, creating pressure on companies [2] - Long-term institutional investors are crucial as they can better identify and support innovative companies, enhancing their focus on core business and innovation efficiency [2] - Reducing analyst pressure can prevent management from overly focusing on short-term earnings, which may lead to cuts in R&D spending and harm long-term innovation [2] - Less frequent information disclosure is preferred by investors in innovative companies, as it can mitigate short-sighted management behavior [2]

Core Viewpoint - The article discusses the challenges investors face in the capital markets, emphasizing the importance of understanding one's own capabilities and the types of investments that can be successfully managed. It suggests that many investors rely on luck rather than skill, leading to inconsistent financial outcomes [1]. Group 1: Market Conditions - The stock market experienced slight fluctuations with a mild increase, while the funding environment remained balanced and slightly loose. The central bank conducted a net injection of 246.8 billion yuan through reverse repos and treasury cash deposits [3][5]. - The overnight funding rates remained stable, with DR001 around 1.26% and DR007 slightly increasing to approximately 1.52% due to year-end factors [3]. Group 2: Bond Market Insights - The bond market showed narrow fluctuations in interest rates, with the 10-year government bond yield stabilizing around 1.84% [5]. - Recent data indicated that the weighted average rates for various repo codes were as follows: R001 at 1.35% (down 1 bp), R007 at 1.53% (unchanged), and R014 at 1.84% (unchanged) [4]. Group 3: Investor Sentiment - A survey indicated that investors are most optimistic about commodities and stocks for the upcoming year, while bonds are largely disregarded [5]. - The article highlights a trend where investment education courses are being marketed, suggesting a perception that investing is inherently risky, with a common outcome of "one profit, two breakevens, and seven losses" [5].

Core Viewpoint - The article emphasizes the need for a shift in household wealth allocation towards risk financial assets to enhance property income and achieve wealth preservation and appreciation, which is essential for boosting consumer spending and driving technological and industrial innovation supported by the capital market [1][2]. Group 1: Consumer Spending and Property Income - The decline in consumer spending growth is linked to the decrease in property income growth, with retail sales growth falling to 3% in September 2025, indicating ongoing pressure on consumption [5][6]. - From 2021 to 2024, urban residents' property income growth dropped from 10.2% to 2.2%, further declining to 1.7% in the first three quarters of 2025 [5][6]. - The significant drop in wealth, with stock market losses around 10 trillion yuan and real estate value declines of 50-60 trillion yuan, has exerted downward pressure on consumption [6]. Group 2: Wealth Structure and Financial Assets - In 2025, property income accounted for 8.1% of total household income in China, lower than the U.S. (20%) but higher than Japan (3-4%), Germany (5-7%), and the UK (6-8%) [8]. - The structure of household wealth is heavily dominated by real estate, which constitutes about 60% of total assets, significantly higher than in the U.S. (25%) and Japan (36%) [8]. - The low proportion of risk financial assets (17%) compared to low-risk assets (83%) indicates a need for a shift in investment strategies to enhance property income [12][15]. Group 3: Challenges in Financial Asset Allocation - The preference for low-risk assets is influenced by historical trends of rising property prices and the perception of real estate as a safer investment compared to stocks [17][18]. - The long-term returns of A-share companies have not matched China's rapid economic growth, leading to lower investor confidence in stock investments [18]. - High market volatility has significantly reduced the returns for retail investors, highlighting the need for a more stable investment environment [19]. Group 4: Strategies for Improvement - To improve household wealth allocation, it is essential to enhance the long-term profitability of listed companies and shift their focus towards shareholder returns [21][22]. - Expanding investment options for residents in risk financial assets through pension reforms and encouraging participation in stock markets can help diversify asset allocation [23][24]. - Stabilizing the real estate market is crucial to prevent further declines in property values, which could hinder the shift towards risk financial assets [26].

Group 1: Fixed Asset Investment - The total fixed asset investment in China from January to November showed a year-on-year decline of 2.6%, indicating a likely negative growth for the entire year [2] - The negative growth in fixed asset investment is viewed as a normal correction after years of high growth and over-investment [2][3] - China's investment rate remains the highest globally at over 40%, with new capital formation accounting for 43% of GDP, suggesting that a reduction to a more reasonable level could lead to a significant amount of inefficient investment [3] Group 2: Consumer Spending - Consumer growth rate for the same period was 4%, but there was a rapid decline in October and November, indicating that structural policies to boost consumption have not been effective [4][5] - A shift from structural to aggregate consumption policies is recommended, focusing on increasing overall consumer spending rather than targeted subsidies [5][6] - Increasing residents' income is crucial for boosting consumption, with suggestions for government spending to shift from ineffective investments to direct consumer subsidies [6][11] Group 3: Monetary Policy - There is potential for more active monetary policy, including interest rate cuts, which could significantly impact corporate profits and consumer spending [7] - The current LPR rate is at 3%, indicating room for further reductions, which could help alleviate local government debt burdens [7] - Historical examples from the US and Europe show that low or negative interest rates can effectively stimulate economic recovery [7] Group 4: Capital Market Outlook - China's capital market is currently valued at just over 100 trillion yuan, with potential to reach 200 trillion yuan by 2030 if the securities ratio aligns with international averages [8][9] - The wealth effect from capital market growth could significantly boost consumer spending, contributing to overall economic demand [9][10] - Increasing the proportion of state-owned equity transferred to social security funds could enhance social welfare and support consumer spending [10]

Core Viewpoint - The report emphasizes the need for a capital market that supports technological innovation and the development of the real economy, focusing on two main aspects: a more inclusive venture capital market and a "less aggressive" secondary market [2][13]. Group 1: Inclusive Venture Capital Market - A more inclusive venture capital market is essential to support technological innovation, which is characterized by long cycles, high uncertainty, and high failure rates [4]. - The report highlights the importance of being tolerant towards entrepreneurs and venture capital funds, allowing for failures and encouraging early-stage investments [5]. - The comparison of venture capital fund durations between the U.S. (10-12 years) and China (5-7 years) indicates a need for longer investment horizons to support early-stage and high-risk projects [5]. Group 2: Less Aggressive Secondary Market - The secondary capital market is crucial, with approximately 600-700 million individuals involved, and the central government has emphasized its importance in recent policy discussions [6]. - A "less aggressive" secondary market is proposed to provide a quieter environment for high-growth and innovative companies, reducing short-term pressures from investors and analysts [6][7]. - Mechanisms such as strong anti-takeover provisions and controlled board member turnover are suggested to maintain stability and encourage long-term innovation [8]. - The report argues that excessive stock liquidity can attract short-term investors, which may negatively impact a company's innovation efforts [9]. - Long-term institutional investors are needed to better support innovative companies, as they can provide stability and oversight, especially during periods of failure [10]. - Reducing analyst pressure and the frequency of earnings disclosures can help alleviate short-term performance pressures on companies, allowing them to focus on long-term innovation [11][12]. Conclusion - A well-designed capital market that is both inclusive and less aggressive is essential for fostering an environment conducive to technological innovation and supporting the real economy [13].

Group 1 - The offshore RMB to USD exchange rate has surpassed the 7.0 mark, reaching a high of 6.9985, marking the first time since September 2024 that both offshore and onshore RMB have crossed significant thresholds [1] - The overall trend for the offshore RMB against the USD in 2025 has shown a pattern of "initial suppression followed by recovery and oscillation," indicating a clear appreciation trend [1] - The recent appreciation of the RMB is attributed to a weaker USD, a decline in the USD index, strong fundamentals from the Chinese economy, and year-end demand for currency settlement [2] Group 2 - The interest rate cuts by the Federal Reserve have led to a recovery in the China-US interest rate differential, supporting the continued mild appreciation of the RMB [2] - The People's Bank of China has emphasized maintaining the RMB exchange rate stability at a reasonable and balanced level, indicating a focus on monetary policy adjustments to support this goal [4] - The offshore RMB's appreciation is expected to have a positive impact on the capital markets, enhancing the risk appetite for Chinese equities and increasing foreign investment in RMB-denominated assets [3] Group 3 - The appreciation of the offshore RMB is expected to have a mixed impact on trade, reducing import costs for commodities while potentially weakening the competitiveness of export-oriented goods [2] - The central bank's recent meetings have highlighted the importance of using various monetary policy tools to ensure liquidity and stabilize the RMB exchange rate [4] - Market participants are advised to be cautious of unilateral exchange rate fluctuations and consider using financial instruments to hedge against short-term volatility [3]