据彭博12月30日报道，中国AI初创企业MiniMax获阿里巴巴、阿布扎比投资局支持，计划通过香港IPO 融资超6亿美元，争做首家上市的国内生成式AI公司。该公司2024年营收3050万美元，最早本周启动认 购，预计1月完成上市，IDG资本、毅达资本等亦参与基石投资。 视觉中国：公司通过全资子公司Elephant Vision Technologies Limited已对MiniMax进行战略投资。 与此同时，竞争对手智谱华章正推进香港IPO，拟融资43亿港元（约5.52亿美元），国内生成式AI企业 上市竞赛全面提速。作为行业龙头，MiniMax核心亮点显著：构建了覆盖AI陪伴、视频生成等场景的全 模态AI原生产品矩阵，平均月活用户从2023年310万增至2025年三季度的2760万，开放平台付费用户达 2500家；技术上采用MoE架构与线性注意力机制，推理效率领先行业，为端侧应用落地奠定基础。此次 IPO募资将进一步强化其技术研发与商业化布局，对国产大模型产业链而言，头部企业上市有望打通融 资渠道，带动参股公司及配套产业协同发展。 东吴证券表示，MiniMax在定制化产品力与高效率推理技术底座上的协同布局， ...

■张敏 2025年，A股市场交易活跃度持续提升。截至12月30日，全年累计成交金额达417.8万亿元，同比增长超 60%。在此之前，上证指数连续9个交易日上涨，引发市场广泛关注。 在政策护航下，2025年，多个高科技领域迎来了从技术突破到产业落地的关键跨越，生动印证了市场正 在实践的科技叙事。 今年以来，以DeepSeek为代表的国产大模型取得关键突破，推动行业重心从技术攻坚转向真实场景落 地；机器人领域加速从"技术展示"到"商业闭环"的快速演进，以宇树科技为代表的企业不仅产品亮 相"惊艳全场"，更凭借亿元级商业订单，完成了从实验室到规模化赋能产业的进阶；国产创新药全年对 外授权(licence-out)金额突破1000亿元大关，凸显行业全球竞争力提升；商业航天领域，朱雀三号、长 征十二号甲先后发射，不仅实现了技术上的重大突破，更进一步推动可重复使用火箭技术从试验阶段迈 向工程化应用。 这些高新科技产业的崛起，不仅展现了各自鲜明的演进路径，更强劲拉动了上下游产业链的订单增长与 整体价值提升。 制度护航与产业突破形成合力，正深刻改变A股市场的整体生态。 这种变化最直观的体现是A股行业结构的优化。十年前，金融、地 ...

隔夜美股延续跌势，热门中概股普跌，纳斯达克中国金龙指数跌逾2%。受此影响，今早港股低开，科 网龙头集体回调，阿里巴巴-W跌超3%下探近3个月以来新低，小米集团-W跌逾2%，腾讯控股跌逾 1%。 重仓互联网龙头的港股互联网ETF（513770）场内价格一度跌逾2%，下探年线下方，创2025年8月以来 阶段新低；盘中再现溢价交易，显示买盘资金逢低继续抢筹。上交所数据显示，港股互联网ETF （513770）最新单日再获资金净流入2.37亿元，近8日资金连续净流入8.26亿元。 分析指出，当前港股互联网板块投资价值突出。一方面，全球AI浪潮重塑行业内核，互联网大厂纷纷 加大AI布局，从硬件自研、大模型研发到应用落地，推动业务提质增效，行业步入新一轮扩张周期， 国产大模型已具备国际竞争力，国内互联网大厂资本开支提升有望转化为营收增长。 另一方面，美联储12月继续降息25个基点，并提前开启扩表，直接改善流动性和提振市场风险偏好。有 望引导资金流向新兴市场，港股科技作为"全球估值洼地"有望显著受益。 针对港股近期"震荡不休"，华泰证券认为，当前港股市场情绪依然处于悲观预期中，因此市场下行空间 可控但上行胜率尚未打开。未来行 ...

Group 1 - A-shares experienced a collective decline on December 10, with the Shanghai Composite Index dropping by 0.60% during the session, while sectors such as forestry, retail, and engineering machinery showed positive performance [1] - The chip sector remained sluggish, with the chip ETF (159995) down by 1.10% as of 10:31 AM, and key component stocks like Lanke Technology, Haiguang Information, and Zhongwei Company falling by 3.27%, 2.69%, and 2.23% respectively [1] - Some individual stocks were active, with Huazhong Microelectronics rising by 10.61% and Haowei Group increasing by 2.97% [1] Group 2 - On December 9, U.S. President Trump announced that NVIDIA would be allowed to deliver its H200 chip products to qualified customers in China and other countries, under the condition of ensuring U.S. national security [3] - The sales revenue from these chip products will see 25% allocated to the U.S. government, and it was noted that China has been informed and responded positively [3] - Open Source Securities indicated that the restoration of supply for chips like the H200 could promote the comprehensive upgrade of domestic AI models, accelerating the development of the domestic AI ecosystem and potentially expanding demand for domestic computing power chips, which would be a long-term benefit for the domestic chip sector [3]

传媒行业周报系列 [Table_Title2]2025 年第 48 周 证券研究报告|行业研究周报 [Table_Title] [Table_Title] 奈飞与华纳达成收购协议，DeepSeek-V3.2 正式发 布 [Table_Date] 2025 年 12 月 7 日 月 7 日 ► 市场行情回顾 [Table_Summary] 2025 年第 48 周（实际交易日为 2025.12.1-2025.12.5）上证 指数上涨 0.37%，沪深 300 指数上涨 1.28%，创业板指数上涨 1.86%。恒生指数上涨 0.95%，恒生互联网指数上涨 0.87%，行 业落后恒生指数 0.07pct。SW 传媒指数下跌 3.86%，落后创业 板指数 5.72pct，在申万一级 31 个行业涨跌幅排名中位列第 31 位。子行业中影视、游戏和广电位列前三位，分别为上涨 1.32%、下跌 1.08%和下跌 1.84%。 ► 核心观点&投资建议 奈飞以 827 亿美元收购华纳兄弟核心资产，流媒体行业格局 重塑。本周，据新华社报道，奈飞公司与华纳兄弟探索公司 达成协议，将以总价 827 亿美元收购后者包括华纳兄弟电影 集 ...

Core Insights - The overseas computing power industry chain is experiencing a market value recovery, with significant gains in the optical communication sector [2] - Domestic AI development is driving growth in server and IDC sectors, while overseas AI advancements are boosting servers and optical modules [1] Group 1: Market Trends - The optical communication sector has shown a notable increase in value this week, indicating strong market recovery [2] - Google Cloud's AI infrastructure head announced plans to double computing power every six months, aiming for a 1000-fold increase in the next 4-5 years, highlighting the ongoing high demand for computing power [2] - Major companies like OpenAI and AWS are expanding their AI infrastructure, with AWS planning an additional 1.3GW of computing power in the U.S. government sector [2] Group 2: Company Developments - Alibaba confirmed a sustained increase in computing power demand, with a potential capital expenditure increase of 380 billion yuan over the next three years, driven by strong growth in cloud services [3] - The Qwen architecture from Alibaba is gaining traction globally, as evidenced by the Singapore AISG's shift from Meta's model to Alibaba's [3] - ByteDance and ZTE are set to release an AI phone in early December, emphasizing high-permission agent capabilities [5] Group 3: Sector Performance - The server index rose by 4.60% this week, despite a decline of 5.45% for the month, driven by AWS's significant expansion plans [6] - The optical module index increased by 16.46% this week and 13.56% for the month, supported by Google's plans for substantial computing power growth [6] - The IDC index saw a 5.58% increase this week, with expectations for continued acceleration in domestic IDC construction due to rising AI demand [6] Group 4: Key Data Updates - Telecom business revenue reached 1.467 trillion yuan from January to October 2025, showing a year-on-year growth of 0.9% [7] - Major cloud companies' capital expenditures for Q3 2025 were reported as follows: Microsoft at $16.7 billion, Google at $24 billion, Meta at $19.6 billion, and Amazon at $35.1 billion, reflecting significant year-on-year increases [7]

Core Viewpoint - The A-share market experienced significant fluctuations, with the Shanghai Composite Index dropping over 2% and the ChiNext Index falling over 4%, while nearly 5,100 stocks declined. However, the AI application sector showed resilience, with several stocks hitting the daily limit up [2]. Group 1: Market Performance - The A-share market saw a broad decline, with the Shanghai Composite Index down more than 2% and the ChiNext Index down over 4% [2]. - Approximately 5,100 stocks in the market experienced a decline [2]. Group 2: AI Sector Insights - The AI application concept performed well against the market trend, with stocks like Yidian Tianxia and Vision China hitting the daily limit up [2]. - Bohai Securities noted that the compatibility between domestic large models and domestic accelerated computing chips is continuously improving, creating a synergistic advantage between algorithms and hardware, which lays a solid foundation for large-scale implementation across various industries [2]. - The global AI industry infrastructure is experiencing strong growth, with NVIDIA's performance in Q3 of fiscal year 2026 being particularly impressive, injecting sustained growth momentum into the global AI sector [2]. - The ongoing commercialization of AI applications is driven by the dual forces of accelerated technological implementation and the release of scenario demands, leading to a positive outlook for the AI application sector [2].

Core Viewpoint - Xinhua Dou (002264.SZ) is actively seeking collaboration opportunities with computing power manufacturers in AI infrastructure and related fields to enhance its business operations and research capabilities [1] Company Overview - The company primarily focuses on internet marketing, operating as a data-driven performance marketing and product development firm [1] - Currently, the company does not engage in hardware-related computing power businesses such as chips, servers, or storage devices [1] Computing Power Demand - The company's current deployment of computing power mainly supports internal business operations and research needs [1] - It is anticipated that the demand for computing power will continue to rise alongside the company's future research and operational developments [1] Industry Trends - Recent advancements in domestic large models have accelerated iterations, utilizing technologies like linear attention mechanisms to reduce computing power costs [1] - The company is closely monitoring developments in the computing power industry to identify potential collaboration opportunities [1]

Core Insights - The Shanghai Stock Exchange Sci-Tech Innovation Board Artificial Intelligence Index has decreased by 1.20% as of November 10, 2025, with mixed performance among constituent stocks [2] - The government has issued implementation opinions to accelerate the cultivation and large-scale application of new AI scenarios, emphasizing the need for core technology breakthroughs and application promotion [2][3] - The recent launch of the Kimi K2Thinking model by Moonlight Dark Side has garnered attention, showcasing significant cost advantages over international models like OpenAI's GPT-5 [3] - The total size of the Sci-Tech AI ETF has reached 6.08 billion yuan, ranking it among the top funds in its category [4] Market Performance - The Sci-Tech AI ETF has seen a 23.97% increase over the past three months, with a recent price of 0.77 yuan and a turnover rate of 2.19% [2] - The ETF has experienced a net inflow of 75.248 million yuan recently, with a notable average daily net inflow of 37.674 million yuan over the past five trading days [4] Policy and Industry Developments - The new policy aims to create a closed-loop path for technology breakthroughs, scenario validation, and industrial application, which is expected to accelerate AI development [3] - Major companies like Kingdee and Kingsoft Office are launching new products that integrate multiple AI agents, indicating a shift from AI as a tool to autonomous decision-making [3] - Global tech giants are increasing investments in AI, with Amazon and OpenAI's collaboration valued at 38 billion dollars and Meta planning to invest 600 billion dollars in AI infrastructure over the next seven years [3] Index Composition - As of October 31, 2025, the top ten weighted stocks in the Shanghai Stock Exchange Sci-Tech Innovation Board AI Index account for 70.92% of the index, including companies like Lanqi Technology and Kingsoft Office [5]

Core Insights - The AI trading competition RockAlpha revealed a surprising outcome, with domestic models dominating the leaderboard, showcasing their competitive edge in vertical market applications [1][3][5] Group 1: Competition Overview - The competition featured 12 mainstream AI models from both domestic and international companies, including flagship products from OpenAI, Google, and Anthropic, as well as models from ByteDance and DeepQuest [3] - The event was designed with multiple specialized arenas to assess AI's capabilities in different market conditions, effectively minimizing the impact of luck on performance [3] Group 2: Performance Highlights - The champion, Doubao, achieved a 7.09% return, primarily through heavy investment and precise timing, with over 53% of its holdings in IREN stock, resulting in a daily profit exceeding $7,000 [3][5] - Runners-up MiniMax M2 and Kimi K2 adopted a "steady value" strategy, focusing on leading AI tech stocks like Micron Technology and NVIDIA, demonstrating the depth of research in the domestic models [3][5] Group 3: International Models' Performance - International models, including DeepSeek, Google Gemini, and Alibaba Qwen, underperformed, highlighting the challenges they face in adapting to the specific nuances of the U.S. stock market [5] - Analysts noted that while international models excel in general capabilities, they struggle with the rapid interpretation of non-structured information in emotionally driven assets like meme stocks [5] Group 4: Technological Insights - The success of the domestic models can be attributed to their advanced capabilities in data processing, strategy iteration, and risk control, as outlined in RockFlow's technical white paper [5] - Key features of the top-performing models include the ability to process over 100,000 financial texts, dynamic strategy adjustment based on market volatility, and built-in multi-factor risk models [5] Group 5: Future Implications - The results of the competition suggest a shift in focus for domestic models from general capability to scene-specific superiority, particularly in high-value verticals like financial trading [8] - As AI technology continues to penetrate the financial sector, the adaptability demonstrated by domestic models may position them as key players in the evolving landscape of AI trading [8]