Core Viewpoint - Chinese tech shares are experiencing significant growth driven by advancements in various sectors, including AI, robotics, and flying cars, with notable performance in January 2026 [1][18]. Group 1: Market Performance - An onshore Nasdaq-like tech gauge has increased by almost 13% this month, while Hong Kong-listed Chinese tech firms have risen nearly 6%, both outperforming the Nasdaq 100 [1][18]. - The combined market value of 33 Chinese AI stocks tracked by Jefferies Financial Group has expanded by approximately $732 billion over the past year, with China's AI market capitalization representing only 6.5% of the US's [9][18]. Group 2: Technological Advancements - Enthusiasm for homegrown technologies has been the primary driver of China's equities bull run since April, despite challenges in the housing market and weak consumption [2][18]. - The rollout of a new AI model by DeepSeek and the unveiling of a five-year economic blueprint focusing on technological self-reliance are expected to further support market momentum [2][15][18]. - Chinese firms are accelerating efforts to develop AI models following DeepSeek's success, with generative AI adoption surging among major internet companies like Alibaba and Tencent [5][6][18]. Group 3: Investment Sentiment - Investors are optimistic about the technology sector's prospects due to China's low-cost base and strong state support, with expectations that the release of DeepSeek's R2 model could disrupt the sector again [14][18]. - Recent listing debuts of Chinese AI-related companies have shown significant gains, encouraging more firms to enter public markets [10][18]. - Analysts predict that the next major breakthrough in AI will occur at the application layer, with China well-positioned to lead this evolution due to its diverse user cases [11][18]. Group 4: Valuation Concerns - The rapid rally in tech stocks has raised concerns about stretched valuations, with some companies trading at high multiples, such as Cambricon Technologies at about 120 times forward earnings [13][18]. - Beijing's decision to tighten margin financing indicates growing unease with speculative excess in the technology sector [13][18].

Core Insights - The overall trend among high-performing funds is to maintain high positions while adjusting their holdings towards sectors like AI-related industries, innovative pharmaceuticals, and robotics [1][2] Fund Performance and Adjustments - Several high-performing funds have significantly increased their scale due to inflows and rising net values, with notable examples including Huafu New Energy Fund, which grew from 1.513 billion to 4.162 billion yuan by the end of 2025 [2] - The Rongtong Industry Trend Selected Stock Fund had an equity investment ratio of 93.09% by the end of 2025, achieving over 100% returns [2] - The top ten holdings of the Rongtong fund included new entries such as Yuanjie Technology and Zijin Mining by the end of 2025 [2] Investment Focus Areas - Funds are focusing on five core investment directions: AI infrastructure, AI applications, intelligent robotics and driving, domestic AI supply chains, and edge AI [3] - The Jin Xin Transformation Innovation Growth Fund is concentrating on military and aerospace sectors, as well as chips, with a positive outlook on the military sector driven by satellite communication and gas turbines [3] AI Sector Insights - The AI sector remains a focal point, with managers indicating a shift towards AI energy and supply chain security, recognizing energy as a potential bottleneck for AI expansion [4] - The demand for internet AI applications is surging, leading to increased capital expenditures from internet companies and a rapid rollout of self-developed ASIC chips [4] Cautionary Perspectives - Some fund managers express caution regarding the AI sector, noting that after significant price increases, valuations are no longer low, and some stocks reflect overly optimistic growth expectations [5] - High valuations imply stricter performance requirements, making the sector more susceptible to market sentiment and macroeconomic changes, which could increase volatility [6]

行业走势图 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 2025-01-17 2025-02-17 2025-03-17 2025-04-17 2025-05-17 2025-06-17 2025-07-17 2025-08-17 2025-09-17 2025-10-17 2025-11-17 2025-12-17 恒生指数 数据来源：聚源 2026 年 01 月 18 日 相关研究报告 投资评级：看好（维持） 《从 Gemini 到千问，看好大模型支付 闭环下的商业价值提升—港股行业点 评报告》-2026.1.15 《英伟达开源 Alpamayo，禾赛加入"朋 友圈"—行业周报》-2026.1.11 《昆仑芯启动港股 IPO，关注 MiniMax 多模态机会—行业周报》-2026.1.4 | ——行业周报 | | --- | | 初敏（分析师） | 杨哲（分析师） | 荀月（分析师） | | --- | --- | --- | | chumin@kysec.cn | zhangke1@kysec.cn | yangzhe@kysec.cn | | 证书编号：S0790522 ...

Report Industry Investment Rating - The report does not explicitly mention the industry investment rating [1][2][3] Core Viewpoints of the Report - The spring rally in the A-share market at the beginning of the year was driven by the fear of missing out, but after the regulatory adjustment of the minimum margin ratio for margin trading, the market shifted from a rapid rise to a slow bull market. The two - margin funds did not leave but switched from high - leverage to low - leverage sectors. The left - hand force of the spring rally came from institutional investors, while foreign capital and margin trading formed the right - hand acceleration, with foreign capital participating more actively [2][15] - The AI industry chain is the main direction where funds form a consensus. The logic of "storage driving computing power, and computing power leading to applications" is expected to be a popular investment direction. Insurance in the financial sector can contribute absolute returns, and industries such as chemicals, home appliances, and panels can be considered for portfolio investment [3][28][29] Summary According to the Directory Market Review: From High - Speed Growth to Active Cooling - At the beginning of the year, the A - share market experienced a spring rally. From the beginning of the year to January 13, the Sci - tech Innovation 50 index rose 9.33%, and sectors such as media, computer, and national defense and military industry led the gains. The proportion of margin trading turnover in the total turnover reached 11.5%, approaching the upper limit of the historical average plus twice the standard deviation [8] - On January 14, the regulatory authorities announced an increase in the margin ratio from 80% to 100%, which was a measure to cool down the over - heated market sentiment. After the adjustment, there was a "hot - cold switch" in the broad - based index and industry structure. In the broad - based index, leveraged funds shifted from small - cap to large - cap stocks. In the industry structure, funds shifted from high - volatility themes to undervalued blue - chips [11][12][13] Slow Bull Trend Established, Leverage Cooling, but Bullish Sentiment Remains - Margin trading accelerated the spring rally but was not the dominant force. The spring rally was mainly driven by domestic institutional investors, with foreign capital and margin trading accelerating on the right - hand side, and foreign capital's participation was more significant. Comparing the trading volume ratios of 9 trading days before and after New Year's Day, the trading volume ratio of north - bound funds increased from 10.2% to 11.6%, while that of margin trading only increased from 11.0% to 11.4% [15] - While broad - based ETFs experienced large - scale outflows, theme - based ETFs continued to see inflows. For example, from January 14 to 16, the average daily net outflow of the CSI 300 ETF reached 14.71 billion yuan, while sectors such as non - ferrous metals, consumption, securities, and medical devices saw capital inflows [19][20] Tightening Micro - environment Accelerates Stock Game, with Both Offensive and Defensive Strategies - The marginal tightening of the micro - liquidity environment led to a stock game and structural optimization. The AI industry chain remained the main line, and some funds flowed back to sectors such as home appliances and chemicals with high safety margins [25] - The capital flow in the AI industry showed a "spiral relay" pattern, starting from storage chips and commercial aerospace, moving to AI applications, and then flowing back to storage and spreading to embodied intelligent robots. The semiconductor and media ETFs remained at the forefront, indicating strong market recognition of the AI industry chain [26] Index Uptrend Slows, Strong Focus on the AI Industry Chain - The AI industry chain's "storage - computing power - application" logic is expected to be a popular investment direction. The performance of US stocks provides a strong reference, and the continuous strength of overseas technology giants has raised the valuation ceiling for A - share counterparts [28] - Insurance in the financial sector can contribute absolute returns. It benefits from the bull market and the rise of the technology sector in terms of asset - side profitability and has defensive properties when offensive sectors adjust [28] - For portfolio investment, technology sectors can provide high returns and elasticity, while sectors such as chemicals, home appliances, and panels with improving fundamentals and healthy chip structures can be used as stable investment options [29]

Core Insights - Artificial intelligence (AI) is identified as the greatest investment opportunity of the current era, with a strong emphasis on the urgency to invest now [1][13] - The energy demands of AI technologies are highlighted, with data centers consuming as much energy as small cities, leading to concerns about power grid strain and rising electricity prices [2][3] Investment Opportunity - A specific company is presented as a critical player in the AI energy sector, owning essential energy infrastructure assets that are poised to benefit from the increasing energy demands of AI [3][7] - This company is described as a "toll booth" operator in the AI energy boom, collecting fees from energy exports and positioned to capitalize on the onshoring trend driven by tariffs [5][6] Financial Position - The company is noted for being debt-free and holding a significant cash reserve, amounting to nearly one-third of its market capitalization, which positions it favorably compared to other energy firms burdened by debt [8][10] - It also has a substantial equity stake in another AI-related company, providing investors with indirect exposure to multiple growth opportunities without the associated premium costs [9] Market Trends - The article discusses the broader trends of AI, energy, tariffs, and onshoring, emphasizing the interconnectedness of these sectors and the company's strategic positioning within them [6][14] - The influx of talent into the AI sector is mentioned, indicating a continuous stream of innovation and advancements that will drive future growth [12] Future Outlook - The potential for significant returns is highlighted, with projections suggesting a possible 100% return within 12 to 24 months for investors who act quickly [15][19] - The company is characterized as undervalued, trading at less than seven times earnings, which presents a compelling investment opportunity in the context of the AI and energy sectors [10][11]

Core Insights - Wispr Flow is a leading voice input product that has gained significant traction through transparent sharing of growth metrics by its founder Tanay Kothari [2] - The company has achieved over 500 million views on TikTok and Instagram in just three months, leveraging influencer and UGC content marketing [3] User Growth and Engagement - The user growth has been remarkable, with several months in the past year showing over 50% month-over-month growth [5] - The paid conversion rate stands at approximately 20%, which is significantly higher than most tool-based products [5] - Active users engage in hundreds of voice inputs daily, with efficiency reported to be 3-4 times that of keyboard input [5] Creator Recruitment Strategy - Wispr Flow emphasizes recruiting brand ambassadors who genuinely love the product rather than traditional UGC creators [9][10] - The company has implemented a rigorous "nurturing" process for new creators to avoid algorithmic limitations before they post any content related to Wispr Flow [7] Creator Quality and Management - Quality is prioritized over quantity, with one top-tier UGC creator capable of outperforming 100 mediocre ones [14] - A 30-day trial period is established for each creator to identify those who are truly exceptional [15] - The company has developed a judgment system based on "taste" to evaluate potential creators, focusing on their initial video quality [19] Creator Development and Community - Creators are categorized into two types: executors who replicate successful scripts and strategists who innovate and test new concepts [26][31] - Building a community around creators is essential, transforming the relationship from a transactional one to a partnership [28] Performance Metrics - Wispr Flow has achieved over 500 million views and has a team of 80 creators, with a cost per thousand impressions (CPM) of $0.74 [32]

艾米不是个案——从俄罗斯姑娘在义乌"24小时胆囊手术"，到美国游客在北京靠AI助手搞定皮炎诊疗， 中国医疗健康服务的高效和普惠，受到越来越多的关注和认可。 在海外博主纷纷分享"来中国看病"经历的同时，一个新趋势也浮出水面：进入2026年，"AI+健康"已悄 然成为全球科技圈的第一个风口，而走在这场风潮前头的，正是来自中国的公司。 另一边，继本土AI健康助手蚂蚁阿福月活超过3000万后，海外巨头OpenAI、Anthropic开始重金押注AI 健康，推出新产品、收购新公司。 这些动向并非偶然，它们共同指向一个清晰的信号：健康，正成为AI技术规模化落地的关键领域。在 当今全球AI应用抢滩中，中国医疗健康产业厚积薄发的普惠优势，正借由AI的加持，清晰地呈现在世 界面前。 01、从"到中国看病"，到"AI陪诊" 西方医疗体系之下，是日益严峻的效率焦虑。对于非急症患者来说，做一个胃镜可能要等数月，换一个 关节可能要等一年。这对患者而言，是一场耗尽耐心的等待。 这也是外国博主在体验了中国医疗体系后所惊叹的对比：高效、可及与普惠。在过去一段时间，很多外 国朋友来中国就医的过程中，中国的"健康AI"也让他们大开眼界。 202 ...

Core Insights - Artificial intelligence (AI) is identified as the greatest investment opportunity of the current era, with a strong emphasis on the urgency to invest now [1][13] - The energy demands of AI technologies are highlighted, with data centers consuming as much energy as small cities, leading to concerns about power grid strain and rising electricity prices [2][3] Investment Opportunity - A specific company is presented as a critical player in the AI energy sector, owning essential energy infrastructure assets that are poised to benefit from the increasing energy demands of AI [3][7] - This company is described as a "toll booth" operator in the AI energy boom, collecting fees from energy exports and positioned to capitalize on the onshoring trend driven by tariffs [5][6] Financial Position - The company is noted for being debt-free and holding a significant cash reserve, amounting to nearly one-third of its market capitalization, which provides a strong financial foundation [8] - It is trading at less than 7 times earnings, indicating a potentially undervalued investment opportunity compared to its peers in the energy and utility sectors [10] Market Trends - The article discusses the broader trends of AI, energy, tariffs, and onshoring, suggesting that this company is well-positioned to benefit from these interconnected developments [6][14] - The influx of talent into the AI sector is expected to drive continuous innovation and advancements, reinforcing the long-term growth potential of investments in AI [12] Future Outlook - The company is linked to the future of clean and reliable power through its nuclear energy assets, aligning with the U.S. energy strategy [7][14] - The potential for significant returns is emphasized, with projections of over 100% return within 12 to 24 months for investors who act quickly [15][19]

哪怕是目前没有找到商业化路径，而且会带来算力成本，中国科技公司仍在争夺AI对话App这个入口 文｜《财经》研究员 吴俊宇 编辑 | 谢丽容 AI对话App正在成为科技公司竞相争夺的关键阵地。包括字节跳动、阿里、腾讯、蚂蚁集团都在投入资 源做大自己的产品。 1月15日，阿里旗下的千问App宣布打通淘宝、支付宝、淘宝闪购、飞猪、高德等阿里生态业务，可实 现点外卖、购物、订机票等功能。 阿里千问C端事业群总裁吴嘉在千问产品发布会上演示了如何使用千问App语音下单购买奶茶——千问 App迅速调用淘宝闪购下单并完成AI支付。随后，骑手就将奶茶送达现场。 截至2026年1月，千问C端（含千问App和网页等渠道，且去重之后）月活跃用户超过1亿。目前，千问 的月活跃用户规模仅次于豆包、DeepSeek。市场调研机构QuestMobile截至2025年9月数据显示，国内AI 对话产品的月活跃用户规模分别是：豆包1.72亿、DeepSeek 1.44亿、元宝0.33亿。 《财经》了解到，随着各家产品2025年四季度密集迭代，上述格局仍在快速变化。2025年12月，字节跳 动旗下的豆包App日活跃用户超过1亿。截至2026年1月， ...

Group 1: Market Outlook - Liquidity is identified as the most certain positive factor for the stock market in 2026, supported by increased domestic capital allocation, improved foreign investment sentiment, and the appreciation of the RMB [1][3] - Investor sentiment towards Chinese assets is warming, with a new narrative forming around "Chinese assets" and expectations for a "slow bull" market, reflecting a shift from valuation recovery to profit-driven focus [2][3] - The market logic is expected to transition from valuation recovery to a more detailed assessment of industry performance, necessitating careful differentiation among sectors [2] Group 2: Investment Opportunities - The core opportunity in the next 6-12 months lies in identifying "expectation gaps" in low-attention assets that the market has not fully recognized [4] - AI-related opportunities are highlighted as a global trend, with significant potential in traditional industries adapting to AI applications, particularly in automation and robotics [5][6] - The innovative drug sector is expected to continue showing strong opportunities due to China's talent pool and high efficiency in clinical drug development [6] Group 3: Commodity Market Insights - The current commodity bull market is driven by various factors, including monetary narratives and the AI technology wave, with a focus on identifying more certain and cost-effective investment solutions rather than following mainstream trends [7] - Potential opportunities in the post-cycle investment phase, such as mining and exploration, are anticipated to yield significant returns, especially for strong Chinese companies [7] Group 4: Risk Awareness - The presence of crowded or highly consensual investments is viewed as a risk, necessitating vigilance in the face of market consensus that may lead to volatility [8] - The importance of preparing investment plans for various market scenarios is emphasized, advocating for proactive rather than reactive strategies [9] Group 5: Investment Philosophy - The company adopts a contrarian investment philosophy, focusing on uncovering opportunities that the market has yet to recognize, with an emphasis on understanding catalysts that may bring these opportunities to light [10][11] - A collaborative team structure is believed to enhance adaptability to complex market conditions, with a mechanism in place for continuous iteration and research [11]