当国内三大外卖平台正面"硬刚"的时候，泰国的年轻人一到饭点，也拿起手机熟练地比对着Grab和 Lineman上的配送费，不消半小时，身穿绿色或粉色衣服的外卖员就送餐到门。游客无论在曼谷还是郊 区，Grab或Bolt上都总能约上网约车，乃至摩的和突突车。网上支付还是现金交易，都能任君选择。 "东南亚从网络基础设施，到互联网平台、移动支付、云端架构，都是紧跟中国步伐的。大家在使用习 惯上都很接近，尤其是疫情之后这几年，C端用户都习惯了无现金化、高度依赖手机，大家玩的游戏、 对内容的偏好，和国内也是高度趋同的。"腾讯云国际副总裁兼东南亚地区总经理陈锐告诉21世纪经济 报道记者。 十几年间，陈锐先是投身东南亚通信网络的建设，后又自己搭团队开发当地的移动支付平台，再到带领 腾讯云出海东南亚，他是资深的"东南亚通"，也一直见证着这片土地的数字化进程。 几年前，国产云厂商的出海都是跟随式的——中企走出去，相应也需要数据存储、云计算这些互联 网"水电"基础设施。在这一阶段，腾讯云、阿里云、华为云也就跟着生态伙伴踏上出海征程。至于海外 的本土客户，则基本是亚马逊、微软、谷歌这些传统美国大厂的天下。 不过，这几年东南亚掀起的数字 ...

Core Viewpoint - The article discusses the optimistic outlook for AI development beyond 2026, despite current market concerns about potential bubbles and sustainability of capital expenditures [2][6]. Group 1: AI Market Trends - There is ongoing debate in the market regarding whether AI is in a bubble and the sustainability of capital expenditures for 2025-2027 [3][4]. - Major tech companies are expected to shift focus from "infrastructure" to "application realization," with key observations on revenue growth from Google Cloud Platform (GCP), Microsoft Azure, and Amazon AWS [11]. - The release pace of large models is anticipated to accelerate, with major players like OpenAI, xAI, Meta, Microsoft, and Google continuing to launch new models, intensifying industry competition [12][28]. Group 2: Key Players and Innovations - Google has demonstrated strong capabilities with its self-developed technology and resources, maintaining a competitive edge [8]. - Meta is expected to regain market confidence by 2026 after restructuring and integrating top AI talent, aiming to launch competitive models [8]. - Microsoft is focusing on its own models while maintaining collaboration with OpenAI, looking for synergies between its large models and ecosystem [9]. - xAI, despite being a latecomer, is rapidly iterating its models and is considered a significant variable in the market [10]. Group 3: Model Capabilities and Applications - The enhancement of multi-modal capabilities is crucial for transforming content production in advertising and e-commerce, as well as improving user experiences with hardware like AR/VR devices [15][18]. - Breakthroughs in memory and personalization capabilities will allow AI to evolve from general tools to personalized assistants, increasing user engagement and driving token consumption [23][24]. - The overall improvement in model capabilities is fundamental for the commercialization of AI, leading to clearer paths for investment returns [25][26]. Group 4: China's AI Ecosystem - China's AI ecosystem is recognized for its strong competitive advantages, with domestic models gaining international acknowledgment [40]. - Major Chinese tech firms like Alibaba and Tencent are committed to ongoing investments in AI, indicating a long-term strategy [40]. - The country boasts the largest pool of engineers and a rapid product iteration culture, which is expected to replicate the "application innovation" seen in the mobile internet era, creating numerous investment opportunities [40][41]. - Current valuations of Chinese AI companies are considered reasonable compared to their U.S. counterparts, providing a favorable investment margin [41].

▲ 图源：Omdia ▲ 图源：Omdia 传统三强亚马逊 AWS、微软 Azure、谷歌 Google Cloud 排名没有发生变化，合计市占达 66%，营收之和同比增长 29%，增速高于行业整体。 其中亚马逊 AWS 的营收同比增速时隔三年重新站上 20%，微软 Azure、谷歌 Google Cloud 营收同比增幅均超过 35%。 IT之家 12 月 26 日消息，机构 Omdia 在当地时间本月 22 日的新闻稿指出，2025 年全球云基础设施服务支出总额达 1026 亿美元（IT之家注：现汇率约合 7198.18 亿元人民币），同比增幅 (25%) 连续第五个季度超过 20%。 分析显示，随着企业对 AI 的需求不断增长，云市场的增长点正从早期实验和试点项目转向企业级 AI 应用的大规模部署。三大云巨头的 AI 策略起初专注于 模型的性能提升，但现在正向为企业提供集成诸多可选模型的广泛平台演变。 ...

中信证券研报表示，2026年将是北美主要云计算厂商收入加速增长的一年，来自大客户的AI训练、推 理料将成为主要需求驱动力，传统云业务需求亦稳步复苏，而数据中心、定制芯片的投产等将会进一步 缓解算力供给端的紧缺程度。综合来看，从订单兑现的节奏，以及各家云厂商的数据中心储备情况来 看，我们预计2026年谷歌GCP、亚马逊AWS、微软Azure云计算收入同比增速相较2025年进一步加速。 我们持续看好一线云厂商在2026年的投资机遇。 ...

（文章来源：第一财经） 中信证券研报表示，2026年将是北美主要云计算厂商收入加速增长的一年，来自大客户的AI训练、推 理料将成为主要需求驱动力，传统云业务需求亦稳步复苏，而数据中心、定制芯片的投产等将会进一步 缓解算力供给端的紧缺程度。综合来看，从订单兑现的节奏，以及各家云厂商的数据中心储备情况来 看，我们预计2026年谷歌GCP、亚马逊AWS、微软Azure云计算收入同比增速相较2025年进一步加速。 我们持续看好一线云厂商在2026年的投资机遇。 ...

Core Insights - Both Chinese and American cloud computing giants are increasingly using airport advertising to showcase their capabilities and compete for market share [1][16] - The airport advertising space is seen as a strategic battleground for cloud and AI services, with major players vying for visibility and influence [1][11] Chinese Cloud Market - By 2025, airport advertising in China will be dominated by major cloud providers such as Alibaba Cloud, ByteDance's Volcano Engine, and Baidu Smart Cloud, all competing for the title of "AI Cloud Market Leader" [1] - The competition in airport advertising reflects the broader economic landscape and the high-stakes nature of the cloud industry in China [1] American Cloud Market - The American cloud market is witnessing a shift, with challengers like Google Cloud GCP, Oracle OCI, and CoreWeave emerging to disrupt the established order dominated by Amazon AWS and Microsoft Azure [2][13] - Google Cloud GCP is promoting its Gemini Enterprise AI subscription service, emphasizing practical applications of AI for businesses [5][10] Advertising Strategies - Google Cloud GCP's advertisements focus on the utility of AI in business operations, aiming to attract CIOs by highlighting the effectiveness of their services [5][10] - CoreWeave, backed by NVIDIA, is leveraging its early access to cutting-edge technology to position itself as a formidable competitor, with a significant market valuation of $38.1 billion as of December 2025 [7] - Amazon AWS adopts a more straightforward advertising approach, showcasing customer success stories and emphasizing ROI rather than technical specifications [8][10] Market Dynamics - The competition among cloud providers is intensifying, with significant contracts being locked in for future revenue, indicating a shift in market dynamics [13][14] - Major cloud providers are experiencing a supply-demand imbalance in computing power, as demand from large contracts outpaces their capacity to deliver [14] Conclusion - The use of airport advertising by cloud giants in both China and the U.S. reflects a strategic effort to capture the attention of key decision-makers in the industry, highlighting the competitive landscape and the importance of brand visibility in securing future contracts [11][16]

Core Insights - Gartner's latest report positions Alibaba Cloud as a "Leader" in the Generative AI market, making it the only vendor in the Asia-Pacific region to achieve this status alongside Google and OpenAI [1][3] - The report evaluates Generative AI across four dimensions: cloud infrastructure, engineering platforms, foundational models, and knowledge management applications, with Alibaba Cloud recognized as a leader in all four areas [3][5] - Multiple authoritative reports have reaffirmed Alibaba Cloud's leading position, with a significant market share in China's enterprise-level model usage [5][8] Group 1: Market Position and Recognition - Alibaba Cloud is the only company in the Asia-Pacific region to be rated as a leader across all four dimensions of Generative AI by Gartner [3][5] - Frost & Sullivan's report indicates that Tongyi, Alibaba's model, holds the largest market share in China's enterprise-level model usage as of the first half of 2025 [5] - Omdia's findings show that over 70% of Fortune China 500 companies have adopted Generative AI, with Alibaba Cloud having a penetration rate of 53%, the highest among competitors [5][8] Group 2: Competitive Landscape - The AI cloud market is filled with claims of being "number one," but definitions of "AI cloud" vary across different research firms, leading to different interpretations of market leadership [5][6] - The true competition lies in the ability to integrate across the entire stack rather than excelling in isolated segments, as highlighted by Gartner's four-dimensional evaluation [5][6] - Alibaba Cloud's comprehensive product offerings align with its positioning as a full-stack AI service provider, demonstrating its capability to deliver end-to-end solutions [11][14] Group 3: Infrastructure and Technological Advancements - Alibaba Cloud has committed significant investments in AI infrastructure, including a 380 billion yuan investment announced in February and plans to expand cloud data center energy consumption by tenfold by 2032 [6][14] - The efficiency of Alibaba Cloud's AI training and inference has improved significantly, with its one-stop AI development platform achieving over three times acceleration in model training [6][14] - The Tongyi model family has established a complete lineup, with a penetration rate of 53% among Fortune China 500 companies, serving over 1 million clients [8][16] Group 4: Global Influence and Strategic Moves - Alibaba's open-source models have gained significant traction globally, with Singapore's national AI initiative shifting to Alibaba's Tongyi Qwen architecture for its Southeast Asian language model project [16] - The vertical integration strategy, while requiring substantial upfront investment, is expected to yield long-term advantages in performance optimization and cost control [16] - The competition in AI is evolving into a systems battle rather than just a model competition, with Alibaba Cloud positioned as a leading player in the Asia-Pacific region [16]

Core Insights - AI technology has become a core driving force in the computer and software development industry, with significant capital expenditures from major cloud providers [1] - The combined investment of Amazon, Microsoft, Google, and Meta in AI-related infrastructure is expected to exceed $110 billion by Q3 2025, primarily for data centers and AI infrastructure [1] - AI is significantly boosting cloud business revenues, with Amazon AWS backlog orders exceeding $200 billion, Microsoft Azure experiencing a growth rate of 40%, and Google Cloud revenue share increasing to 14.8% [1] - NVIDIA's data center business achieved a record revenue of $51.2 billion in a single quarter, with future quarters expected to generate $500 billion [1] - AI technology is also driving revenue growth for SaaS companies, with firms like ServiceNow and Palantir seeing substantial income increases through AI platforms [1] - Overall, AI's deep penetration in cloud computing, computing power, and software applications is continuously reshaping the industry landscape and creating new growth momentum [1] Industry Overview - The Computer ETF (512720) tracks the CS Computer Index (930651), which selects listed companies involved in software development, IT services, and hardware manufacturing from the Shanghai and Shenzhen markets [1] - The index reflects the overall performance of publicly listed companies related to computing, with a focus on the information technology sector and a growth-oriented style [1]

Market Performance - The US stock market saw a collective rebound on November 24, with the Nasdaq Composite Index rising by 2.69% to 22,872.01 points, marking the largest single-day gain since May [1] - The Dow Jones Industrial Average increased by 0.44% to 46,448.27 points, while the S&P 500 Index rose by 1.55% to 6,705.12 points [1][2] Key Stock Movements - Major tech stocks experienced significant gains, with Google rising over 6% due to optimism surrounding its leadership in artificial intelligence, particularly after the release of its AI model Gemini 3 [2] - Other notable stock movements included Broadcom up over 11%, Micron Technology nearly 8%, and AMD and Lam Research both rising over 5% [2] - The Philadelphia Semiconductor Index increased by 4.63%, with all 30 component stocks closing higher [4] Company Developments - Amazon announced plans to invest up to $50 billion to expand its AI and supercomputing capabilities for US government clients, starting in 2026 [8] - Tesla's CEO Elon Musk stated he will be "deeply involved" in the design of Tesla's AI chips, aiming to produce a new chip annually [9] Financial Performance - The US banking sector reported a profit of $79.3 billion for Q3 2025, reflecting a 13.5% increase from the previous quarter [10] - WeRide reported a revenue of 171 million yuan for Q3 2025, a year-on-year increase of 144.3%, with its Robotaxi business revenue soaring by 761% [12]

Group 1 - Cloudflare experienced its most severe service disruption since 2019, lasting nearly 5 hours, affecting access to multiple websites including ChatGPT and social media platform X [1] - The incident was caused by a configuration file error rather than a cyber attack, leading to widespread 500 errors and failures in Cloudflare's dashboard and API [1] - The event has sparked discussions in the industry regarding the reliability of centralized network infrastructure [1] Group 2 - The rise of centralized network infrastructure is attributed to the digitalization wave, which emphasizes efficiency, cost reduction, and technological standardization [2] - While centralized architectures improve efficiency, they also create vulnerabilities; a failure in core infrastructure can lead to widespread service outages [2] - Reuben Koh highlighted that over-reliance on a few centralized vendors amplifies the impact of individual configuration errors or hardware failures, potentially causing global service disruptions [2] Group 3 - The industry’s pursuit of 100% uptime does not address the core issue of inherent risks in centralized systems [3] - There is a need for resilient architecture designs that incorporate multi-layered fault tolerance mechanisms, moving away from dependency on centralized availability zones [3] - Major cloud providers are increasingly investing in distributed edge computing to mitigate centralized risks by extending computing resources to the network edge [3]