◆金雷 视频连线的流畅实现，离不开云基础设施。奥林匹克转播服务公司（OBS）在本届冬奥会全面采用云平 台，向全球近40家广播机构交付数百路实时音视频信号，大幅减少了对卫星链路的依赖。云转播技术让 远程采访、远程发布会成为可能。早在北京冬奥会测试活动中，中国就已运用远程视频连线与5G直播 技术融合，实现任何国家和地区的授权媒体记者与被采访对象"隔空"对话。这一技术在米兰-科尔蒂纳 冬奥会得到了全面升级。 米兰-科尔蒂纳冬奥会近尾声，如果请你选择一幕最动人的场景会是什么？笔者的选择，是运动员在赛 场与家人的视频连线。雪山为幕，大地为台，运动员零时差地与最亲的人倾诉，在满溢屏幕的喜悦之 外，逐梦冰雪、俯仰天地的豪情震撼更多观众。 利用云转播技术，国际奥委会特别定义了"运动员时刻"——运动员在比赛结束后第一时间，立即联系上 家人和朋友，分享心情。用考文垂主席的话评价：这对运动员而言，意义非凡。 非凡的意义，首先在于情感的真实。徐梦桃卫冕冬奥会自由式滑雪女子空中技巧冠军，她72岁的父亲徐 学君表示，连线时感觉心跳过速了，之后才平静一点。正月初一，徐爸爸刚过了生日，女儿的金牌就是 最好的礼物，他期待凯旋时要给女儿一个大大 ...

Core Insights - McKinsey's report identifies 18 industry sectors likely to reshape the global business landscape, predicting revenues of $29 trillion to $48 trillion by 2040, contributing 18-34% to global GDP growth [2] E-commerce - By 2040, e-commerce's share of global retail revenue is expected to rise to 27%-38%, up from approximately 20% currently [3] - Growth drivers include market expansion in developing countries and new product categories in developed nations, such as healthcare and emotionally valuable products [4] - Significant investments are anticipated in customer acquisition and last-mile delivery across e-commerce platforms [5] Electric Vehicles - Electric vehicles (EVs) are projected to exceed 50% of global passenger car sales by 2040 [6] - Breakthroughs in battery technology and smart algorithms will significantly influence this sector, prompting increased R&D investments from both EV manufacturers and traditional automakers [7] Cloud Services - The demand for higher storage and computing capabilities is driven by a more interconnected world and the need for AI products requiring substantial computational power [9] - The cloud services industry experienced a 17% compound annual growth rate (CAGR) from 2005 to 2020, with similar growth expected in the coming decades [10] Semiconductors - The semiconductor industry is essential for the digital world, with demand from computing, data storage, automotive, communication, and industrial electronics driving growth [11] - A sustained CAGR of 6%-8% is forecasted for the semiconductor sector over the next decade [11] AI Software Services - The rapid development of AI has led to its classification as a distinct sector, with increasing usage of AI assistants [12] - Companies in the AI space are engaged in a competitive race to develop advanced foundational models and applications [13] Digital Advertising - Digital advertising, through search, social media, and media services, is expanding in value as internet usage among the middle class increases [14] - Continuous algorithm improvements enhance platforms' abilities to target customers and track advertising costs, although competition for user attention necessitates increased investment in engaging content [15] Streaming Video - Investment in customer acquisition and content production is rising, prompting streaming platforms to seek new revenue models [17] - Developing countries may provide incremental growth in subscription and advertising revenue for streaming services, with projections indicating over 1 billion households subscribing to long-form video services by 2040 [18] Shared Autonomous Vehicles - The advent of autonomous driving technology may reduce the necessity for personal vehicle ownership [19] - By 2040, shared autonomous vehicles could account for 25%-51% of shared mobility revenue [20] Space Economy - The world is on the brink of entering a space economy era, with advancements in reusable rocket technology transforming the aerospace industry [21][22] Cybersecurity - Cybercrime caused approximately $950 billion in direct economic losses in 2020, with indirect losses potentially reaching $4-6 trillion [24] - Increasing awareness of cybersecurity has led companies to enhance their investments in this area [25] Batteries - Significant advancements in battery technology have tripled energy density over the past few decades [26] - The global energy transition is driving demand for batteries, particularly in electric vehicles, energy storage, and consumer electronics, with EVs expected to represent over 80% of the battery market by 2040 [28] Video Games - By 2030, an estimated 40% of the global population may become video game players [30] - New gaming models, such as mobile and cloud gaming, are accelerating market growth, with free-to-play games generating substantial revenue [32] Robotics - The integration of AI with robotics is creating significant expectations for humanoid robots, which are seen as potential "ultimate intelligent agents" [33] Industrial and Consumer Biotechnology - Breakthroughs in gene editing and other technologies are accelerating the application of biotechnology in agriculture, alternative proteins, consumer products, and bio-materials [37] Modular Construction - Modular construction methods, which involve prefabricating building components for on-site assembly, can significantly enhance construction efficiency [38] Nuclear Fission Power - The development of safer, smaller modular reactors presents opportunities to supplement renewable energy sources [39] Air Traffic - Electric vertical takeoff and landing vehicles and delivery drones are expected to drive significant technological changes in air traffic [41] Obesity Treatment Drugs - The prevalence of obesity is projected to rise from 15% in 2020 to 24% by 2035, indicating a potential market for effective weight loss products [43]

本文源自：市场资讯 作者：观察君 在增持AI相关标的的同时，段永平对原有持仓进行了结构性调整。苹果仍为其第一大重仓股，持仓市 值达87.97亿美元，占比50.3%，但四季度减持了247.06万股，幅度为7.09%。伯克希尔·哈撒韦则获大幅 增持198.5万股，增幅38.24%，稳居第二大重仓股，占比20.63%。此外，段永平增持了谷歌和拼多多， 同时大幅减持了阿斯麦，减持幅度达87.63%。 今年1月初，段永平曾表示："新的一年里，需要认真学习一下怎么使用AI，希望能让自己能理解AI到 敢下重注的地步。这玩意儿真是越用越觉得有意思，感觉世界有点不一样了。" 声明：市场有风险，投资需谨慎。本文为AI基于第三方数据生成，仅供参考，不构成个人投资建议。 根据美股机构投资者13F持仓披露文件，截至2025年12月31日，知名投资人段永平管理的H&H International Investment持仓总市值约174.89亿美元，折合人民币超1200亿元。这份四季度持仓报告显 示，段永平在延续其价值投资框架的同时，正加速向人工智能领域倾斜。 英伟达是本季度段永平加仓力度最大的标的。13F文件显示，四季度段永平增持663 ...

Group 1 - The core viewpoint of the article highlights a significant shift in AI capital expenditure from a "money printing machine" to a "money shredding machine," indicating potential liquidity and asset pricing upheaval [2] - Michael Hartnett from Bank of America has raised his market warning level, emphasizing that the "AI disruption trade" is rapidly spreading from the tech sector to traditional services [2][3] - The projected capital expenditure for hyperscalers has surged to $740 billion for 2026, up from a previous estimate of $670 billion, which poses financial risks [4] Group 2 - Hartnett warns that such massive investments could drive the free cash flow of the "Magnificent 7" tech companies towards zero or even negative [5] - To sustain this level of capital expenditure, tech giants may be forced into a large-scale bond issuance, indicating a shift towards "creditization" of previously strong balance sheets [8] - The narrative in the market is shifting from "awe of AI" to "being impoverished by AI," suggesting a growing concern over the financial implications of AI investments [9] Group 3 - A clear trading signal is identified: a major AI hyperscaler announcing a reduction in capital expenditure could trigger a significant rotation from tech giants to Main Street assets [10] - The disruption effect of AI is not limited to tech stocks; it is rapidly spreading to traditional service sectors, with various industries experiencing significant impacts [11][12] - Hartnett notes that once a sector is recognized as an "AI victim," its stock price recovery may take a long time, as seen with Indian tech stocks [12] Group 4 - Political factors are intensifying the asset rotation, with Hartnett highlighting the upcoming State of the Union address as a critical moment for potential policy shifts [14][16] - The article discusses the disparity in support for Trump between Wall Street and Main Street, with rising dissatisfaction among the public regarding inflation [15] - Hartnett suggests that if there is no "Trump bump" post-address, the government may adopt more aggressive affordability policies, benefiting small-cap stocks over tech giants [17] Group 5 - Despite a recent influx of $463 billion into global equities, the Bull & Bear Indicator remains in the "sell" zone, indicating ongoing caution in risk assets [21] - Hartnett emphasizes that the sell signal for risk assets, which began in December, is still valid until panic-driven cash hoarding occurs [22] - The article details recent capital flows, showing significant movements into stocks, bonds, and cash, with notable declines in tech and cryptocurrency assets [23][24] Group 6 - Hartnett reflects on the "great rotation" over the past 50 years, where major political and financial events have shifted asset leadership, suggesting a new cycle is emerging [25][26] - The next structural leaders are expected to be emerging markets and small-cap stocks, driven by shifts in service and manufacturing sectors [28] - The article concludes with a perspective on global rebalancing, emphasizing low asset allocation in China and India, which are now among the world's largest economies [31]

Group 1 - The core message of the report indicates a significant shift in AI capital expenditure from a "money printing machine" to a "money shredding machine," suggesting potential liquidity and asset pricing upheaval [1] - The expected capital expenditure for hyperscalers has surged to $740 billion by 2026, up from a previous estimate of $670 billion, highlighting the alarming financial implications of such spending [2][3] - This excessive investment could push the free cash flow of the "Magnificent 7" tech companies towards zero or even negative values, indicating severe financial strain [3] Group 2 - To sustain this level of capital expenditure, tech giants may be compelled to engage in large-scale bond issuance, indicating a shift from previously strong balance sheets to a more credit-dependent model [5] - The narrative in the market is shifting from "awe of AI" to "being impoverished by AI," reflecting growing concerns over the financial sustainability of such investments [6] - A clear catalyst for reversing this trend would be an announcement from a major AI hyperscaler regarding a reduction in capital expenditure, which could trigger a significant rotation of assets from tech giants to Main Street [7] Group 3 - The disruptive effects of AI are rapidly spreading beyond the tech sector into traditional service industries, with significant impacts observed in sectors such as insurance, wealth management, real estate services, and logistics [8][9] - The first sector to be disrupted by AI, Indian tech stocks, has not seen any buying support since being labeled as "AI victims," indicating a prolonged period of price recovery challenges [10] Group 4 - Political factors are intensifying the asset rotation, with upcoming events such as the State of the Union address on February 24 being highlighted as critical moments for market sentiment [14][15] - The report suggests that if there is no significant boost from political figures, the government may adopt more aggressive affordability policies to address public concerns over inflation, which could favor small-cap stocks over large tech companies [16] Group 5 - The report notes a historical shift in the correlation between the Japanese yen and the Nikkei index, indicating a potential long-term bullish signal for Japanese equities [18][19] - Despite recent inflows into global equities, the Bull & Bear Indicator remains in the "sell" zone, suggesting that the adjustment in risk assets is not yet complete [23][24] - The analysis of the past 50 years of asset leadership transitions indicates that significant political and financial events often redefine market leaders, with emerging markets and small-cap stocks poised to be the next leaders [26][29]

Investment Rating - The report maintains an "Outperform" investment rating for the communication industry [4][7]. Core Insights - In January 2026, the communication industry index increased by 5.47%, outperforming the Shanghai Composite Index (+3.76%), CSI 300 Index (+1.65%), Shenzhen Component Index (+5.03%), and ChiNext Index (+4.47%) [3][13]. - The capital expenditure of the four major North American cloud providers is expected to grow over 60% year-on-year, indicating a turning point for CPO commercialization applications [4][6]. - The retail sales of communication equipment in China increased by 20.9% year-on-year in December 2025, driven by the demand for smartphones [6][44]. - The three major telecom operators in China achieved a total telecom business revenue of 1.75 trillion yuan in 2025, a year-on-year increase of 0.7% [6][45]. Summary by Sections Market Review - The communication industry index rose by 5.47% in January 2026, outperforming major indices [3][13]. - Sub-sectors such as cables, other communication equipment, and system equipment saw increases of 19.70%, 10.72%, and 7.85% respectively [16]. Industry Tracking - The capital expenditure of North American cloud providers reached $126 billion in Q4 2025, a 62% year-on-year increase, with a forecast of over $660 billion for 2026 [24][25]. - AI applications are increasingly driving cloud business growth, with significant investments in AI infrastructure by major cloud providers [30][34]. Telecom Industry Insights - The telecom industry in China is experiencing stable growth, with a focus on new information infrastructure such as 5G and gigabit networks [45]. - The revenue from emerging businesses like cloud computing and big data reached 450.8 billion yuan in 2025, growing by 4.7% year-on-year [45]. Smartphone Market - Global smartphone shipments are projected to grow by 2% in 2025, reaching 1.25 billion units, with AI smartphones expected to penetrate 34% of the market [6][44]. - The latest AI smartphones feature advanced NPU chips with processing power between 60 to 200 TOPS, enhancing user experience through real-time interactions [6]. Investment Recommendations - The report suggests focusing on companies involved in optical devices, optical chips, optical modules, and AI smartphones, including Tianfu Communication, ZTE, and China Mobile [7].

每经编辑｜何小桃 黄胜 2月12日晚，协创数据（300857.SZ）公告称，公司及/或子公司根据经营发展需要，拟向多家供应商采购服务器，并签署相关采购合同，采购合同总金额 预计不超过人民币110亿元。公司及/或子公司购买服务器主要用于为客户提供云算力服务。 公司于2月12日召开第四届董事会第十一次会议，以全票同意审议通过了《关于公司购买资产的议案》，本次交易金额占公司最近一期经审计净资产的 50%以上，亦达到了公司最近一期经审计总资产的50%以上，本议案尚需提交公司股东会审议，该项交易目前不存在其他需要履行的审批程序，亦不存在 重大法律障碍。 据21世纪经济报道，面对外界对"激进"决策的不解，协创数据董事长耿康铭表示，"这笔投入其实非常保守，客户的需求远远大于我们的投入。" 耿康铭将当下算力产业发展比作"房地产的90年代"，认为未来五到十年，算力领域的投资规模将超越房地产巅峰时期，而协创数据此刻所做的，不过是行 业爆发前夜的准备。 1月28日，协创数据公告称，预计2025年归属于上市公司股东的净利润为10.50亿元～2.50亿元，比上年同期增长51.78%～80.69%。报告期内，多个算力集 群项目按计划完成 ...

Summary of Conference Call Notes Industry Overview - The focus is on the AI industry, particularly the role of cloud service providers and the implications of large models like CloudBot and C-DAS 2.0 on token consumption and software industry dynamics [1][2][5][12]. Key Points and Arguments Demand for Tokens - There is a significant demand for tokens due to high-frequency calls to AI models, with weekly consumption potentially reaching tens of millions [1][4][13]. - The transition from dialogue-based interactions to tool invocation has increased token usage, necessitating more computational power [2][12]. Role of Cloud Service Providers - Cloud providers are crucial in the AI era, offering mirrored services that lower user entry barriers and determining which large models can be accessed [1][5]. - Renting cloud services, such as Tencent Cloud, allows users to utilize complex models without significant changes to their infrastructure [5]. Risks Associated with AI Tools - There are potential security risks when installing plugins or skills, as some may disguise malicious software that can consume server resources [6]. - Users must be cautious to avoid issues similar to those seen in the early internet era, such as virus infections [6]. Impact on Software Industry - AI technology is diminishing the value of traditional software entry points, particularly in the SaaS sector, where Chinese companies lag behind their U.S. counterparts [7][8][9]. - The software industry is expected to face new challenges and opportunities as AI-based platforms gain prominence [7]. Advantages of Chinese Software Companies - Chinese A-share software companies focus on customized development and customer service, making them suitable partners for AI technology [11]. - These companies possess industry-specific knowledge that complements AI's general capabilities, allowing for a synergistic relationship [11]. Future of Cloud Computing and Token Consumption - The importance of cloud providers will increase as models like C-DAS 2.0 require substantial computational resources and token consumption [12][20]. - Major companies like ByteDance and Alibaba anticipate a tenfold increase in token consumption in the coming years, indicating that charging for large model usage will become standard [14]. Recommendations for Investment - Infrastructure-related companies, such as NetSpeed, are recommended due to the growing demand for efficient data transmission in AI applications [15]. - In the AI video production sector, companies like Zhao Chi and Wanxing Technology are highlighted for their innovative tools that enhance production efficiency [18]. - IDC firms should focus on partnerships with major platforms, with recommendations for companies like Dongyangguang and Runze in the ByteChain ecosystem, and Century Internet Data Port in the AliChain ecosystem [19]. Prospects for Domestic Computing Chips - Domestic computing chips like Haiguang and Cambrian are expected to have a positive long-term outlook despite current market pessimism [20]. - The increasing demand for computational power due to rising token consumption presents a buying opportunity for stocks in these companies [20]. Other Important Insights - The transition to AI tools is reshaping the software landscape, with a shift away from reliance on single software applications towards integrated AI solutions [9][10]. - The response time of CloudBot is noted to be longer compared to other models, indicating a need for improvement in processing speed [16].

Group 1 - UBS Global Wealth Management Strategy Team downgraded the rating of the S&P 500 Information Technology sector from "attractive" to "neutral" based on three core adjustments [1] - Uncertainty in the software industry is expected to persist as AI technology tools intensify competition against traditional software core businesses, making it difficult for investors to maintain stable confidence in long-term growth rates and profitability of software companies [1] - Capital expenditures by cloud service providers have reached unsustainable levels, with high investments increasingly reliant on external debt or equity financing, leading to a mismatch between investment scale and current revenue returns, which may suppress market sentiment [1] Group 2 - The combined investment of major cloud providers, including Alphabet, Microsoft, Meta, and Amazon, in AI is projected to approach $700 billion by 2026, with Amazon's spending expected to reach $200 billion, potentially resulting in negative free cash flow for 2026 [1] - Valuations in the technology hardware sector are currently at a high range, reducing their attractiveness to investors [1] - UBS emphasizes that the rating adjustment does not reflect a negative outlook for the entire technology sector, as opportunities arising from AI development are still worth attention, extending beyond the technology sector [1]

Group 1: Federal Reserve and Market Implications - The nomination of Waller as Fed Chair may signal a new era for the central bank, fundamentally reshaping investor risk expectations [1] - The long-standing reliance on the Fed's liquidity support is facing significant challenges, indicating a substantial reduction in future tolerance for market errors [1] - Waller has criticized the Fed's balance sheet expansion, advocating for a structural reduction of the current $6.6 trillion balance sheet, suggesting that liquidity support should only be a crisis response rather than a routine operation [1][3] Group 2: Market Reactions and Sector Performance - The tech sector is under pressure, with software stocks dropping approximately 25% this year, reflecting concerns over competition and the sustainability of existing revenue streams [4] - The ongoing weakness in digital assets, with Bitcoin down over 50% since last October, has negatively impacted risk sentiment across various asset classes [5] - Despite sector-specific volatility, the overall macroeconomic fundamentals in the U.S. remain robust, with cyclical stocks performing well and strong earnings reported by tech companies [6] Group 3: Liquidity and Debt Concerns - Waller's potential push for accelerated quantitative tightening could lead to a loss of bank reserves and tighter collateral conditions, increasing the risk of liquidity shortages and potentially limiting credit supply [3][7] - The shift in the Fed's approach may lead to higher systemic risks, especially if liquidity tightens while facing external or internal shocks [7] - Major cloud companies are ramping up capital expenditures significantly, with projected spending exceeding $600 billion by 2026, raising investor concerns about return on investment [8]