Group 1 - The high-growth sector is experiencing a downturn, with significant declines in leading software ETFs and notable net inflows for seven consecutive days [1] - The Ministry of Industry and Information Technology has issued an action plan to promote the high-quality development of industrial internet platforms, aiming for over 450 influential platforms and more than 1.2 billion connected industrial devices by 2028 [3] - There is a strong market expectation for major companies to release flagship large models before the Spring Festival, with potential releases from ByteDance and Deepseek anticipated to narrow the performance gap with overseas counterparts [3] Group 2 - The GEO (Generative Engine Optimization) concept is gaining traction, representing just the tip of the iceberg in AI applications, with a focus on optimizing generative AI platforms for better brand and product visibility [3] - The commercialization of AI software is accelerating, with AI Agents expected to rapidly materialize by 2026, indicating ongoing investment value in the sector [4] - The integration of AI and manufacturing is projected to shift the market focus from "computational power competition" to "application realization," suggesting a positive outlook for mid-term investments [4]

Core Insights - The report from GF Securities highlights that deep integration is expected to address the most challenging issues of "decision trust" and "payment breakpoints" in the deployment of AI Agents [1][2] - The full-stack advantage is anticipated to create significant opportunities for AI Agents, with a focus on the domestic computing power industry chain and infrastructure investments [1][3] Group 1: AI Agent Development - The launch of Alibaba's Qianwen Agent, which integrates with various Alibaba ecosystem applications, is seen as a major advantage [1] - The deep integration of Qianwen with Alibaba's services aims to resolve critical challenges in AI Agent deployment [2] - The "task assistant" feature of Qianwen is being tested, showcasing capabilities in multi-step planning and complex task handling [2] Group 2: Computing Power Investment Opportunities - Alibaba's target of 380 billion yuan in AI capital expenditures over the next three years may be conservative and subject to upward revision [3] - ByteDance reported a significant increase in token consumption, indicating a growing demand for computing power [3] - The sale of shares by GDS Holdings to fund domestic AI data center investments reflects optimism in the infrastructure investment landscape [3] Group 3: Domestic Super Node Acceleration - Alibaba introduced the Panjiu AI Infra 2.0 AL128 super node server, enhancing inference performance by 50% under the same AI computing power [4] - Tencent is developing the ETH-X architecture to optimize GPU and memory communication, with plans for an ultra version [4] - Huawei's upcoming Ascend series is expected to contribute to the super node market, with the 9508192 card anticipated for release in Q4 2026 [4]

此外，扣子官方视频Skill也正式上线，该功能支持自动生成视频脚本、匹配视觉素材，并完成剪辑、转 场、配乐等后续流程。 扣子2.0推出Agent Plan，即"长期计划"，让AI从"即时问答工具"升级为"可持续运作的智能体"。用户只 需要确定目标，规定好怎么完成、怎么实现，扣子能够持续执行，并向用户主动汇报、最终交付任务。 以自媒体账号运营为例，扣子能够和用户一起讨论账号定位，拆解每个阶段的运营策略，再帮用户创作 内容。如果用户想写一本书，只需把写作主题和目标发给扣子，它会自己搜集资料、撰写初稿，再根据 反馈自行调整，达成3周内写出10万字初稿的计划。用户还可以用长期计划来完成学习目标，比如考雅 思，扣子会设定每日任务并准备学习资料。 （文章来源：科技日报） 1月19日，字节跳动旗下AI Agent（智能体）平台"扣子"宣布2.0品牌升级。扣子2.0集成了Agent Skill、 Agent Plan、Agent Coding、Agent Office能力，让AI真正成为用户的"工作伙伴"。 通用Agent已展现出强大的基础任务处理能力，在日常对话、信息整合与简单推理方面有了长足进步， 但要应对高度专业化、高 ...

Core Viewpoint - OpenAI has introduced an advertising feature in the free version and entry-level subscription of ChatGPT, aiming to diversify revenue streams while maintaining user engagement [4][16]. Group 1: Advertising Implementation - The advertising will not disrupt conversations but will appear at the bottom of responses when relevant products are identified, clearly marked as sponsored content [7][13]. - The new subscription service, ChatGPT Go, priced at $8 per month, will include ads, while Plus and Pro users will have an ad-free experience [9][12]. - OpenAI emphasizes that the introduction of ads is to support the high operational costs of AI and to make the tool accessible to more users [16][32]. Group 2: User Experience and Concerns - OpenAI assures users that ads will not compromise the objectivity of responses, and user privacy will be protected, with no sale of conversation data to advertisers [14][13]. - The concept of "conversational advertising" is introduced, allowing users to interact with ads for more information, which raises concerns about the potential for manipulation [17][21]. - Historical precedents in the internet advertising space suggest that user trust may be compromised when platforms act as both content providers and advertisers [22][28]. Group 3: Financial Context and Market Dynamics - The AI industry faces significant financial pressures, with OpenAI's annual revenue around $12 billion, but operational costs potentially tripling that figure [32][35]. - The introduction of ads is seen as a quick solution to financial sustainability, mirroring past trends in internet advertising [23][36]. - As AI companies grapple with revenue generation, advertising emerges as a primary method to cover costs, despite the risks to user experience [37][38]. Group 4: Future Implications - The rise of AI agents could shift the advertising landscape, as these agents may control user interactions and decision-making processes, leading to unprecedented targeting capabilities [50][54]. - The potential for AI to integrate advertising into its core functions raises ethical concerns about user autonomy and the nature of recommendations provided [56][58]. - The industry may need to adapt to a future where AI not only serves as a tool but also as a decision-maker in advertising, necessitating a reevaluation of user trust and engagement strategies [53][57].

（文章来源：第一财经） 字节跳动旗下AI Agent平台"扣子"宣布2.0品牌升级。扣子2.0集成了Agent Skill、Agent Plan、Agent Coding、Agent Office能力，让AI 真正成为用户的"工作伙伴"。 ...

Core Insights - ByteDance's AI Agent platform "Kouzi" has announced a brand upgrade to version 2.0, integrating capabilities such as Agent Skill, Agent Plan, Agent Coding, and Agent Office, positioning AI as a true "work partner" for users [1][3] Group 1: Agent Skills - The new Agent Skills feature encapsulates domain knowledge and standardizes operational processes, combining general AI cognitive abilities with specific task requirements to meet diverse and high-standard application scenarios, ensuring output stability [1][3] - Agent Skills are essentially a combination of "best practices for scenarios + required tools," aimed at helping users leverage professional skills to enhance their ability to solve complex professional problems [1][3] Group 2: Agent Plan - The introduction of Agent Plan allows AI to evolve from an "instant Q&A tool" to a "sustainable operating agent," where users can set goals and specify how to achieve them, enabling continuous execution and proactive reporting until task completion [2][4] - This long-term planning feature facilitates closed-loop management of complex goals, breaking down tasks that may take hours or days into manageable steps while tracking progress and managing intermediate states [2][4] Group 3: Agent Office - Agent Office is designed to deeply understand workplace scenarios, allowing users to delegate tasks such as writing strategic reports in Word, creating analysis presentations in PPT, and organizing data in Excel to the AI [2][4] Group 4: Vibe Coding Platform - The Vibe Coding platform offers a one-stop cloud-based solution, enabling users to easily build agents, workflows, websites, and mobile applications through continuous dialogue, with core functionalities available out of the box [5] - The platform provides Vibe Infra infrastructure for one-click deployment, allowing agents to write prompts, integrate knowledge bases, and develop tools, with the capability for self-iteration during multi-turn conversations [5]

Core Insights - The article discusses the rising interest in local AI agents, particularly highlighting the Claude Cowork and Step AI Desktop Partner products, which focus on local task execution and file processing [2][3][4] - The interview with the product lead of Step AI reveals the strategic differences between their product and Claude Cowork, emphasizing features like "global memory" and user experience enhancements [9][10] Product Features and Strategies - Step AI Desktop Partner is available for both Mac and Windows, currently in a free trial phase [5] - The product aims to explore diverse user scenarios and enhance agent capabilities, focusing on making agents more efficient and cost-effective [12][11] - The "Skill" feature is introduced to improve agent performance by providing verified workflows, which enhances stability and effectiveness [12][29] User Engagement and Education - There is a significant gap in user awareness regarding the potential applications of AI agents in their work, with many users unaware of how to utilize these tools effectively [13][14] - The "Miaoji" feature is designed to simplify user interaction by saving common commands and processes, thereby lowering the barrier to entry for non-technical users [29][30] Market Trends and User Behavior - The article notes that the current penetration of AI agents is still in its early stages, with higher adoption rates observed overseas [12][13] - Users often need prompting to realize the capabilities of AI agents, indicating a need for better user education and proactive engagement strategies [34][38] Development and Future Directions - The product is seen as an exploratory innovation under the AI + terminal strategy, aimed at validating user scenarios and technical implementations [16][17] - Future developments will focus on enhancing the agent's proactive capabilities and integrating user feedback to refine the product [48][49]

Core Viewpoint - The recent surge in A-share trading volume has led to a cooling market sentiment, transitioning into a phase of consolidation, which is viewed as a healthy adjustment. This is accompanied by a structural reallocation of liquidity from low-yield assets to equity markets, with the central bank indicating room for further monetary easing [1][16]. Group 1: Market Dynamics - The current adjustment in the A-share market is seen as a positive development, with a macro perspective indicating a shift of household savings from deposits and bonds to equity markets [1][16]. - The central bank's stance on potential interest rate cuts suggests a continued loose liquidity environment, which may drive funds towards the more attractive valuations and solid fundamentals of the Hong Kong stock market [1][16]. - A significant portion of the new capital entering the market is through ETFs, creating a positive feedback loop between capital flow and price discovery [1][16]. Group 2: Investment Opportunities in Hong Kong Stocks - The Hong Kong Internet ETF (513770) is highlighted as a noteworthy investment option, as it targets technology leaders and encompasses a robust ecosystem of businesses [1][17]. - The ETF includes major players like Alibaba and Alibaba Health, providing investors with an excellent pathway to capitalize on the current recovery in AI and internet sectors [2][17]. Group 3: Valuation and Growth Potential - The Hong Kong Internet sector shows compelling valuation metrics, with the Hong Kong Internet Index trading at a PE ratio of approximately 26 times, compared to 42 times for the Nasdaq and 43 times for the A-share ChiNext index [3][20]. - This valuation gap presents a high-risk-reward opportunity for investors seeking growth or avoiding high valuations [5][20]. Group 4: AI and Alibaba's Role - Alibaba's recent launch of the Qianwen Task Assistant 1.0 is seen as a pivotal upgrade, integrating various core services and marking a transition into the "AI Agent era" [5][26]. - The integration of AI technology into Alibaba's ecosystem is expected to enhance user experience and operational efficiency, positioning the company as a key player in the AI-driven market [5][28]. - The anticipated growth in AI applications is projected to significantly impact the digital landscape, with estimates suggesting that 60%-70% of routine tasks will be handled by AI in the next two years [5][28]. Group 5: Competitive Landscape - The competition for AI-driven market share is intensifying, with Alibaba's advancements posing challenges to Tencent and other players, prompting them to enhance their AI offerings [14][31]. - The market is expected to evolve from being driven by a single player (Alibaba) to a more diversified landscape with multiple leading companies contributing to growth [14][31]. - The Hong Kong Internet ETF provides comprehensive coverage of major players, mitigating individual stock volatility while capturing the full spectrum of industry growth [14][31].

Investment Rating - The report maintains an investment rating of "Outperform the Market - A" [5] Core Insights - The report highlights the upgrade of Alibaba's Qianwen APP, marking its transition from a "chat dialogue" tool to an "AI service era" with over 400 new functionalities integrated into Alibaba's ecosystem, including Taobao, Alipay, and Fliggy [1][10][23] - The upgrade is driven by three key technological advancements: AI coding capabilities for real-time tool construction, multimodal understanding for enhanced perception, and long-context processing for complex task execution [2][11] - The emergence of the AI Agent era is expected to reshape traffic entry points and accelerate application deployment, with large model apps becoming new traffic hubs in the "AI+" era [3][12] Summary by Sections Industry Performance - The computer sector outperformed the Shanghai Composite Index by 4.76% this week, with a weekly increase of 4.31% and a year-to-date increase of 13.10% [14][15][17] Market Trends - The report suggests focusing on new service demands related to traffic entry points and AI marketing companies, as well as products stemming from AI model upgrades [13] Important News - The report mentions significant developments such as Shanghai's plan for brain-computer interface industry cultivation and the State Grid's investment of 4 trillion yuan in new power systems during the 14th Five-Year Plan [21][22]

Investment Rating - The report suggests a positive investment outlook for the AI hardware sector, highlighting strong demand for AI computing power and significant capital expenditure growth from TSMC in 2026 [5][19]. Core Insights - TSMC's Q4 2025 revenue reached $33.7 billion, exceeding Bloomberg's consensus by 3.3%, with a gross margin of 62.3% and an adjusted net profit of $16.29 billion, surpassing expectations by 10.4% [2][11]. - The HPC segment remains the core growth driver for TSMC, accounting for 55% of Q4 revenue and showing a 48% year-over-year growth, which is expected to continue into 2026 [2][19]. - The SELF DRIVE Act is poised to significantly increase the annual exemption limit for autonomous vehicles from 2,500 to 90,000 units per manufacturer, facilitating large-scale deployment of Level 4 autonomous vehicles [4][17]. - AMD and Intel's server CPU inventories are reportedly sold out, with a projected price increase of up to 15% due to high demand from hyperscale cloud providers [4][18]. Summary by Sections TSMC Performance - TSMC's Q4 2025 revenue was $33.7 billion, with a gross margin of 62.3% and an adjusted net profit of $16.29 billion, all exceeding market expectations [2][11]. - For the full year 2025, TSMC's revenue is projected at $122.56 billion, with a gross margin of 59.9% and an adjusted net profit growth of 552.7% [2][11]. - The company plans a capital expenditure of $52-56 billion for 2026, a significant increase from $40.9 billion in 2025, with expected revenue growth of nearly 30% year-over-year [12][19]. AI Hardware Demand - The report emphasizes strong and certain demand for AI computing power, with TSMC's HPC business expected to account for 58% of total revenue in 2025, growing at 48% year-over-year [5][19]. - The introduction of Anthropic's Cowork feature marks a significant advancement in AI applications, allowing for more autonomous task management and collaboration [3][14]. Autonomous Vehicle Regulations - The SELF DRIVE Act aims to enhance the regulatory framework for autonomous vehicles, proposing to raise the exemption limit for manufacturers significantly, which could accelerate the deployment of autonomous vehicle technology [4][17]. - The bipartisan support for the SELF DRIVE Act indicates a strong political will to advance autonomous vehicle technology in the U.S. [4][17]. Server CPU Market - The server CPU market is experiencing a supply-demand imbalance, with AMD and Intel's inventories reportedly sold out, leading to anticipated price increases of up to 15% [4][18]. - The demand surge is primarily driven by hyperscale cloud providers upgrading their server architectures [4][18].