信达证券（601059）发布研报称，面对AI带来不确定性和机会，传媒互联网板块的投资体系将向流量 分发端和内容供给端的优质资产切换：流量分发端掌握"用户意图"的Agent公司，即能够直接触达用户 决策和意图执行的Agent平台，以及内容供给端掌握"优质内容"和"稀缺数据和IP"或者"用户情感与信 任"的公司。建议持续关注游戏板块的配置性机会，随着AI新玩法等驱动，板块估值仍具向上空间。 Agent定义入口，AIGC重塑供给 2026年随着AI从"技术基建期"迈向"应用深水区"，传媒互联网的核心变量将切换为入口形态迁移+分发 规则重定价+供给侧产能爆发的组合，产业底层逻辑可能会经历双重重构：1.在流量分发端， AIAgent(智能体)正在接管用户意图，取代App成为新一代超级入口，流量分发逻辑从"抢占时长"转 向"高效执行";2.在内容供给端，随着多模态大模型的发展，AIGC已实现全模态内容的零边际成本生 产，内容产业面临"产能大爆炸"，核心壁垒回归到优质数据和IP、与用户的情感连接。该行认为，面对 AI带来不确定性和机会，传媒互联网板块的投资体系将向流量分发端和内容供给端的优质资产切换。 (1)研发环节：全流 ...

Core Insights - Shandong Province's AI core industry revenue is expected to exceed 120 billion yuan by 2025, accounting for approximately 10% of the national total, with a full-stack AI industry chain being developed [1] - The acceleration of AI applications in China is noted, with a focus on the commercialization and scaling of AI products [2] Group 1: Industry Development - Shandong has implemented the "Shandong Province Artificial Intelligence Industry High-Quality Development Action Plan" and has been recognized as a key province for AI innovation by the Ministry of Industry and Information Technology [1] - The AI sector is anticipated to drive growth in various industries, presenting new investment opportunities [1] Group 2: Investment Recommendations - Companies should focus on leading enterprises in AI terminals, AI agents, and potential killer AI applications as the industry accelerates [2] - Attention should be given to the application demands and innovative products in key sectors such as industry, agriculture, education, and new consumption [2] - The demand for computing power on the edge and inference side is expected to rise, emphasizing the need for infrastructure development in AI computing capabilities [2] - There is an urgent need to optimize the AI governance system, highlighting companies involved in safety methods and governance [2]

Core Insights - The report highlights significant growth in revenue and net profit for Tianyu Shuke in Q3 2025, alongside improvements in asset structure and financial health, indicating a transformation in the company's fundamentals driven by AI technology implementation [1] Asset Side - Total assets reached 1.976 billion, an increase of 11.88% compared to the end of the previous year, with a notable growth in non-current assets related to business expansion and technology implementation [2] - Right-of-use assets doubled to 31.76 million, up 110.77% year-on-year, reflecting substantial business scale expansion and a shift from technology R&D to large-scale implementation [2] - Prepayments surged by 184% to 135 million, indicating strong demand in data traffic business, with a corresponding 99.63% increase in contract liabilities, suggesting a robust order backlog for future revenue recognition [2] Profitability - Non-recurring gains are manageable, showcasing the genuine profitability of core business operations, with a 592.87% year-on-year increase in net profit excluding non-recurring items, reaching 13.91 million [3] - The core business remains the primary growth driver, with a 149.41% increase in cumulative net profit excluding non-recurring items, while non-recurring gains accounted for only 27.12% of quarterly net profit [3] Expense Side - R&D expenses were strategically optimized, focusing on core AI technologies, with a total of 31.21 million spent in the first three quarters, down from 38.83 million the previous year, indicating a shift towards more targeted investments [4] - Sales expenses increased by 37.27% to 117 million, driven by heightened investments in data traffic business and AI marketing, facilitating the transition from technology validation to market expansion [5] - Financial expenses turned positive at 4.24 million, primarily due to increased short-term borrowing, which rose by 708% to 74.51 million, reflecting the funding needs for business expansion in the data traffic sector [5][6] Conclusion - The highlights of Tianyu Shuke's Q3 2025 report include not only significant revenue and profit growth but also improvements in asset structure, profitability quality, and expense alignment, collectively supporting the effective implementation of the "AI + application" strategy and indicating a promising long-term growth trajectory [6]

Core Viewpoint - The software sector, particularly represented by the Software 50 ETF, is experiencing significant growth, driven by strong performance from key stocks and increasing investments in AI and software innovation [1][3][4]. Group 1: Software 50 ETF Performance - As of October 31, 2025, the Software 50 ETF (159590) rose by 2.33%, with a recent price of 1.23 yuan, and has seen a weekly increase of 2.56% [1]. - The ETF's trading volume reached 27.3 million yuan, with a turnover rate of 9.58% [1]. - The ETF's latest scale reached 280 million yuan, marking a six-month high, and its share count reached 233 million, a three-month high [3]. Group 2: Fund Inflows and Stock Performance - The Software 50 ETF has seen continuous net inflows over the past four days, totaling 26.62 million yuan, with a peak single-day inflow of 14.52 million yuan [3]. - Key stock, 360 (601360), reported a revenue of 6.068 billion yuan for the first three quarters, an 8.18% year-on-year increase, and turned a profit of 160 million yuan in Q3, compared to a loss of 238 million yuan in the same period last year [3]. Group 3: Industry Insights and Trends - The analysis indicates that the Chinese software industry is heavily reliant on imports, particularly in high-end markets, with a focus on increasing domestic production of industrial software [4]. - The report highlights the potential for AI applications, particularly in B2B scenarios, and emphasizes the importance of foundational software and infrastructure in the context of national support for technological innovation [4][5].

Core Insights - The report from Industrial Securities indicates that in Q3 2025, active public funds are aligning with the AI industry trend, showing a significant shift towards "increasing hardware and decreasing software" [1][10] Group 1: TMT Sector Allocation - The allocation ratio of active public funds to the TMT sector has increased significantly by 11.3 percentage points to 39.9% in Q3 2025, nearing historical highs last seen at the end of 2020 [2] - The TMT sector has grown to encompass over 1,000 companies, with a free float market capitalization exceeding 25%, allowing for a larger capacity for fund allocation [2] - The adjusted indicator of "active public fund allocation ratio/free float market capitalization ratio" for TMT in Q3 2025 is 1.52, which is not extreme compared to historical highs [3][6] Group 2: AI Subsector Analysis - In Q3 2025, active public funds have notably increased their positions in upstream network communication hardware (mainly North American computing chains) and chip storage (mainly domestic computing chains), while reducing positions in midstream algorithm technology and software [10][12] - The allocation in upstream network communication hardware is at 19.4%, with a significant increase in configurations for components like optical modules and PCBs [11] - The midstream software sector has seen a reduction in most areas, with application software and office software showing historically low allocation ratios [12][13] Group 3: Downstream AI Applications - The downstream AI sector has seen an increase in allocations towards consumer electronics such as AI phones and wearable devices, while humanoid robots have been reduced [13] - Most downstream AI applications have experienced a decrease in allocations, with gaming and a few other sectors showing some increases, but overall configurations remain at historically low levels [13]

Group 1 - The core viewpoint is that China's government has set a clear policy direction for the AI industry, aiming for deep integration of AI with six key sectors by 2027, with over 70% penetration of new intelligent terminals and agents [1] - The transition of large model applications is moving from Copilot (assistance) to Agent (execution), allowing AI to independently plan tasks and make decisions without human intervention [2] - Enterprise services are identified as the primary application scenario for AI Agents, with SaaS companies in office, OA, ERP, and marketing expected to benefit significantly [3] Group 2 - Since 2025, major U.S. enterprise service companies have established AI Agents as a core strategic direction, focusing on integrating AI into existing ERP, CRM, and HRM systems [4] - Domestic companies are already seeing revenue and orders from AI applications, particularly in ERP, OA, and other key enterprise service areas, indicating significant AI empowerment [5]

Core Insights - NeuralFin, a portfolio company of Derlin Holdings, successfully raised approximately HKD 60.1 million (around USD 7.7 million) in its Series B funding round, achieving a valuation of HKD 546 million (approximately USD 70 million) [1][2] - The funds raised will be primarily used to enhance NeuralFin's AI platform, expand its user base, and advance its product development roadmap [1] - Following this funding round, Derlin Holdings will indirectly hold about 31% of NeuralFin [1] Company Overview - NeuralFin aims to reshape the wealth management industry by building a next-generation AI-driven fintech platform that integrates advanced AI technology to support diverse investments and enhance dynamic asset portfolio optimization [1] - The company has successfully attracted over tens of thousands of active users [1] Technology and Innovation - NeuralFin's predecessor was the DLiFO platform, developed by Derlin Holdings, which focuses on AI-driven digital consulting services [2] - The company has achieved a significant transformation in its AI Agent, moving from passive responses to proactive services, utilizing deep integration of neuroscience and AI [2] - Multiple specialized service modules have been developed by NeuralFin's AI Agent [2] Leadership Perspective - Derlin Holdings' Chairman and NeuralFin's Chairman, Chen Ningdi, emphasized that the success of the Series B funding is a significant milestone in NeuralFin's development, reflecting strong market and investor recognition of its innovative model and technological capabilities [2]

Core Viewpoint - The market is experiencing significant structural differentiation, with technology growth sectors outperforming cyclical and financial sectors, particularly in computing and electronics [1][3][5] Group 1: Market Dynamics - The domestic economy is transitioning, leading to the emergence of new growth areas such as AI, semiconductors, robotics, military industry, and innovative pharmaceuticals, which are enhancing global competitiveness and market confidence [3] - In Q1 2025, the net profit growth rate difference between new and old energy sectors turned positive at 4%, further increasing to 8.3% in Q2 2025, indicating a sustained advantage for new energy sectors [3] - The volatility of the Shanghai Composite Index reached a new high since June 23, reflecting the need for market consolidation after continuous rises [8][10] Group 2: Investment Focus Areas - Emphasis on the rotation and expansion of five key sectors: Hong Kong internet, semiconductor equipment and materials, software applications, innovative pharmaceuticals, and the new energy industry [10] - AI expansion is highlighted, particularly in the Hong Kong internet sector, which has underperformed compared to A-shares but has potential for recovery due to favorable external liquidity and strong performance from major players like Alibaba [10][12] - The semiconductor equipment and materials sector is expected to benefit from the domestic AI chip and GPU market, with a focus on upstream expansion as domestic chip production capacity increases [12] - The software application sector is poised for growth as the upstream computing sector outperforms, with attention on midstream software services and downstream applications in various industries [15] - The innovative pharmaceuticals sector is entering a new performance release phase, with major companies like BeiGene and WuXi AppTec showing strong earnings growth [20][21] - The new energy industry is expected to see a rotation and recovery, with signs of improved supply-demand dynamics and a focus on technological advancements to enhance efficiency and reduce costs [22][24][26]

Group 1 - The State Council released an opinion on August 26 to implement the "Artificial Intelligence +" initiative, aiming to deeply integrate AI with various sectors and reshape production and living paradigms [1][2] - The opinion outlines a clear roadmap for AI development in China over the next decade, with goals for 2027, 2030, and 2035, including achieving over 70% penetration of new intelligent terminals and agents by 2027 [2][3] - Key actions and foundational support capabilities are detailed in the opinion, focusing on technology, industry development, consumer quality, public welfare, governance, and global cooperation [4][6] Group 2 - Companies like MiniMax and Jieyue Xingchen expressed strong support for the opinion, indicating their commitment to leveraging AI in various industries, with MiniMax planning to provide enterprise-level services [3][5] - The opinion emphasizes the importance of AI in enhancing public welfare, particularly in healthcare, with a focus on improving grassroots medical services through AI applications [5][6] - The document highlights the need for a robust action framework to support the ambitious goals set forth, including the development of a secure and controllable AI ecosystem [6][7]

Core Viewpoint - The Chinese government has released an opinion document to implement the "Artificial Intelligence +" initiative, aiming to deeply integrate AI with various sectors of the economy and society, thereby reshaping production and living paradigms and accelerating a revolutionary leap in productivity and transformation of production relations [1][2]. Group 1: Strategic Goals and Implementation - The opinion outlines a clear roadmap for AI development over the next decade, with goals set for 2027, 2030, and 2035, including achieving over 70% penetration of new intelligent terminals and agents by 2027, and over 90% by 2030 [2][3]. - The document emphasizes the importance of intelligent agents and new intelligent terminals as key enablers for industry transformation, with global AI companies actively pursuing their application [2][3]. Group 2: Industry Support and Applications - Companies like MiniMax and Jiyue Xingchen express strong support for the strategic deployment, focusing on enterprise-level applications and specific industry scenarios to enhance the penetration of intelligent terminals and agents [3][4]. - The opinion highlights six key areas for action, including scientific technology, industry development, consumer quality improvement, public welfare, governance capability, and global cooperation, along with eight foundational support capabilities [4][5]. Group 3: AI in Healthcare and Open Source - The document proposes promoting high-level health assistants accessible to all, enhancing grassroots healthcare services through AI applications in diagnosis, health management, and insurance services [4][5]. - The open-source ecosystem is emphasized, with companies like Zero One Wanwu highlighting the competitive edge of Chinese open-source models, which are becoming comparable to top closed-source models [5][6]. Group 4: Security and Challenges - The opinion addresses the need for a robust security framework, mentioning the emergence of "intelligent hackers" and the evolving nature of cyber threats, which necessitates advanced security measures [6][7]. - Key challenges identified include the need for a domestically controlled computing platform for large models, data governance, and the integration of AI into complex physical scenarios [6][7].