公众号记得加星标⭐️，第一时间看推送不会错过。 微软发布了新一代人工智能芯片 Maia 200，这款芯片有望成为英伟达领先处理器以及亚马逊和谷歌 等云服务竞争对手产品的潜在替代品。 Maia 200 的发布距离微软宣布开发首款人工智能芯片 Maia 100 已过去两年，但 Maia 100 从未向云 客户开放租赁。微软云和人工智能执行副总裁 Scott Guthrie 周一在一篇博客文章中表示，这款新芯 片"未来将面向更广泛的客户群体"。 Guthrie 称 Maia 200 是"微软迄今为止部署的最高效的推理系统"。开发者、学者、人工智能实验室 以及开源人工智能模型贡献者均可申请软件开发工具包的预览版。 微软表示，由 Mustafa Suleyman 领导的超级智能团队将使用这款新芯片。此外，面向商业生产力软 件套装的 Microsoft 365 Copilot 插件以及用于构建人工智能模型的 Microsoft Foundry 服务也将使 用该芯片。 云服务提供商面临着来自 Anthropic 和 OpenAI 等生成式人工智能模型开发商以及基于这些热门模 型构建人工智能代理和其他产品的公司的激增需求。数 ...

Morning session notice 早盘提示 更多精彩内容请关注格林大华期货官方微信 格林大华期货研究院 证监许可【2011】1288 号 2026 年 1 月 27 日 星期二 研究员： 于军礼 从业资格： F0247894 交易咨询资格：Z0000112 本报告中的信息均源于公开资料，格林大华期货研究院对信息的准确性及完备性不作任何保 证，也不保证所包含的信息和建议不会发生任何变更。我们力求报告内容的客观、公正，但 文中的观点、结论和建议仅供参考，报告中的信息和意见并不构成所述期货合约的买卖出价 和征价，投资者据此作出的任何投资决策与本公司和作者无关，格林大华期货有限公司不承 担因根据本报告操作而导致的损失，敬请投资者注意可能存在的交易风险。本报告版权仅为 格林大华期货研究院所有 任何机构和个人不得以任何形式翻版 如引用、转载、刊发，须注明出处为格林大华期货有限公司。 美国回归门罗主义，在全球收缩，将对全球经济、美债、美股、美元、贵金属、 工业金属等大类资产产生颠覆式深远影响。 鉴于美国连续的错误政策，全球经济已越过顶部区域，开始向下运行。 重要事项: 联系方式：yujunli@greendh. ...

此次谈判前，台湾是被美国课最高关税的地区之一，"20+N"比台湾主要产业竞争对手日本和韩国都 高。这记沉重耳光，还是赖清德当局未谈先跪，急吼吼做出向美国高额投资、开放岛内市场等承诺之后 换来的。美国之所以对献媚输诚的民进党当局如此不假辞色，就是吃定这些"倚美谋独"者绝对不敢说 个"不"字。 打了败仗却假传捷报的例子自古有之，现在民进党当局将这一戏码演绎出了无耻新高度。台美关税谈判 结果出炉，台湾被迫付出5000亿美元赴美投资、40%半导体产能向美迁移等惨痛代价后，只换来本就不 合理的20%高关税降到15%，被迫"掏空家底""自废武功"却寸利未得的民进党当局竟然宣称，这是"重大 突破""漂亮的全垒打""台湾模式的胜利"，脸皮之厚真令人叹为观止。 一般的谎报军功，多是利用信息差造假瞒报，民进党当局却是在谈判结果明明白白摆在世人面前的情况 下，强行颠倒黑白，把"割地献城"说成"胜利凯旋"，"砸锅卖铁"说成"达成预定目标"，"巨额勒索"说 成"平等合作"，"产业掏空"说成"主动布局"，"滑跪投降"说成"战略定力"。 民进党一向视台积电为"护台神山"，然而最爱指控别人"卖台"的绿营政客，却亲手把"神山"双手奉送给 美国 ...

Core Viewpoint - Taiwan Semiconductor Manufacturing Company (TSMC) is a crucial player in the AI supply chain, manufacturing chips for companies like Nvidia and AMD, and is currently trading at a discount despite impressive growth [1][2]. Company Overview - TSMC is the world's largest semiconductor foundry, known for its efficiency, scale, precision, and yield, making it the most dependable choice for companies needing chip manufacturing [3]. - The company has shifted from primarily manufacturing smartphone chips to focusing on advanced AI chips for data centers, capturing a market share in the upper 90% range for these products [4]. Financial Performance - TSMC generated $122.4 billion in revenue in 2025, marking a nearly 36% increase from 2024, and achieving its first $100 billion year [6]. - The gross margin increased from 56.1% to 59.9% in 2025, with an operating margin rise from 45.7% to 50.8%, indicating strong operational execution [7]. - In Q4, TSMC reported a gross margin of 62.3% and an operating margin of 54% [7]. Market Position and Valuation - TSMC operates a virtual monopoly on advanced AI chips, allowing it to command premium pricing for its services [8]. - Despite a 69% increase in stock price since the start of 2025, TSMC trades at only 25 times its projected earnings for the next year, which is cheaper compared to competitors like Broadcom, Intel, and Nvidia [9]. - Given TSMC's market dominance, pricing power, and growth opportunities, its current valuation appears attractive for long-term investors [11].

Key Points Taiwan Semiconductor reported robust growth in 2025. AI was a major growth driver, and it expects that to continue. 10 stocks we like better than Taiwan Semiconductor Manufacturing › Taiwan Semiconductor (NYSE: TSM) has been in the news lately for opening a new plant in the U.S. and signing a deal with the Trump administration to invest $250 billion in further developing its U.S. operations. The company also just released a phenomenal fourth-quarter report that signals even more growth ah ...

请务必阅读正文之后的免责条款部分 策 略 研 究 增量政策聚焦城市更新与新兴科技 [Table_Authors] 方奕(分析师) 主题风向标 1 月第 3 期 本报告导读： 热点主题交易热度回落，商业航天、资源品与建材主题领涨，扩内需与科技新动能 是增量政策方向。看好：城市更新/商业航天/国产算力/新型电网。 投资要点： 策略研究 /[Table_Date] 2026.01.26 | | 021-38031658 | | --- | --- | | | fangyi2@gtht.com | | 登记编号 | S0880520120005 | | | 苏徽(分析师) | | | 021-38676434 | | | suhui@gtht.com | | 登记编号 | S0880516080006 | [Table_Report] 相关报告 Q4 基金动向：增配 AI 基建与价值股 2026.01.24 主题轮动加快，聚焦国产半导体与电力 2026.01.18 AI 应用：以新生产工具重构新经济场景 2026.01.11 新兴产业空间广阔，看多中国产业龙头 2026.01.06 1 月金股策略：决胜"开门红" 2 ...

Core Viewpoint - TSMC has achieved significant milestones, with its Q4 financial report exceeding expectations, showing a 35% year-on-year net profit growth and a gross margin of 62.3%, indicating strong pricing power and production efficiency [1][3] Financial Performance - TSMC's Q4 net profit reached a historical high, with a gross margin of 62.3%, reflecting its robust pricing power and operational efficiency [1] - The company anticipates a capital expenditure increase to an unprecedented $52 billion to $56 billion by 2026, driven by sustained AI demand [1] Market Position and Client Base - TSMC's advanced process chips, particularly the 3nm process, contributed nearly 30% of wafer revenue in Q4 2025, while 77% of revenue came from 7nm and below processes [3] - NVIDIA has surpassed Apple to become TSMC's largest client, highlighting the importance of TSMC's advanced chips in the AI sector [3] Technological Advancements - TSMC is the only manufacturer capable of mass-producing 2nm process chips, which are crucial for advancing AI technology [4] - The company has successfully commenced mass production of 2nm chips by the end of 2025, maintaining its lead over competitors like Samsung and Intel [4] Global Expansion Strategy - TSMC is expanding its production capabilities internationally, with plans to establish a factory in Arizona, USA, supported by the CHIPS Act [6][7] - The company is also constructing factories in Japan and Germany, aiming to meet customer demands while navigating various operational challenges [8] Political and Economic Context - TSMC faces pressures from geopolitical tensions and trade relations, yet it prioritizes business logic in its expansion plans [5] - The company has committed to investing over $250 billion in the U.S. as part of a phased investment strategy linked to project milestones [7]

Core Insights - The capital expenditure (Capex) of the top eight cloud service providers is projected to grow from $145.1 billion in 2021 to $602 billion by 2026, representing an increase of over four times [1][5][20] - This surge in investment is driven by the exponential demand for computing power, particularly due to generative artificial intelligence (AI), which requires significantly more computational resources than traditional services [1][2][12] - The current investment trend is not a bubble but a structural shift in demand for computing infrastructure, fundamentally different from past economic bubbles [14][19] Group 1: Investment Trends - The top eight cloud service providers include Amazon (AWS), Microsoft (Azure), Google Cloud, Meta, Oracle (OCI), Alibaba Cloud, Tencent Cloud, and ByteDance [3] - Despite a temporary decline in capital expenditure during 2022-2023, a rebound is expected starting in 2024, coinciding with the launch of ChatGPT by OpenAI [5][20] - The investment in generative AI is seen as essential for maintaining competitive advantage in the cloud market, as failing to invest would lead to a loss of core value [2][23] Group 2: Computing Demand - The demand for computing power driven by generative AI is fundamentally different from traditional computing needs, necessitating a complete overhaul of the cloud computing infrastructure [6][12] - Generative AI's processing requirements are orders of magnitude greater than those of traditional search engines, with computational needs differing by a factor of 10,000 to 100,000 times [10][12] - The industry is experiencing a structural change in computing demand, with a significant increase in the need for data centers, power supply, cooling technologies, and network architecture [13][19] Group 3: Market Dynamics - The semiconductor market, particularly for data center logic chips, is expected to expand significantly, with the GPU market projected to grow from $100 billion to over $230 billion by 2030 [24][26] - The AI ASIC market is anticipated to grow ninefold, from $9 billion to $84 billion, indicating a shift towards specialized hardware for AI applications [24][26] - The memory market, especially for high-bandwidth memory (HBM), is also expected to see substantial growth, with DRAM market projections reaching $194 billion by 2030 [27][29] Group 4: Competitive Landscape - The competitive landscape for cloud service providers is becoming increasingly harsh, with a clear delineation that companies lacking sufficient computing power will be eliminated from the market [23][24] - Investment in AI-related infrastructure is viewed as a necessity for maintaining market position rather than a discretionary expenditure [23][24] - The transition from traditional computing to AI-driven infrastructure represents a significant shift in the market, with companies like TSMC poised to benefit from the demand for advanced semiconductor technologies [32][35]

Group 1 - The capital expenditure (Capex) of the top eight cloud service providers is projected to grow from $145.1 billion in 2021 to $602 billion by 2026, representing an increase of over four times [1][4] - This investment surge is driven not by market speculation but by the fundamental need for computational power, particularly due to the demands of generative artificial intelligence (AI) [1][5] - The current trend is characterized as a "structural transformation" in the semiconductor market rather than a bubble, as the demand for computing resources is fundamentally changing [10][14] Group 2 - The growth in cloud investment is accelerating, with a notable increase following the release of ChatGPT by OpenAI [4][5] - Generative AI requires significantly more computational resources compared to traditional search engines, with processing demands being 10,000 to 100,000 times greater [6][7] - The competition among cloud providers is fierce, as failure to invest in generative AI capabilities could lead to losing market relevance [8][17] Group 3 - The semiconductor market, particularly the data center logic chip sector, is expected to expand significantly, with the GPU market projected to grow from $100 billion to $230 billion and the AI ASIC market from $9 billion to $84 billion by 2030 [19] - The memory market is also anticipated to experience a shift, with DRAM and HBM prices expected to rise due to increased demand from AI applications [22][24] - The transition in TSMC's primary products from N5 to N3 nodes indicates a shift towards advanced technology driven by AI demands, with NVIDIA and Broadcom expected to surpass Apple in chip investments [28][33] Group 4 - The bottleneck in AI semiconductor development is primarily due to the limited capacity of 2.5D packaging technologies like CoWoS, which are essential for integrating high-bandwidth memory with AI chips [37][39] - Once the CoWoS capacity constraints are resolved, it is expected that investment in AI infrastructure will surge, leading to further competition among cloud service providers [39][42] - The ongoing trend signifies a profound and irreversible change in the semiconductor industry, driven by the structural demands of generative AI [42]

如果您希望可以时常见面，欢迎标星收藏哦~ 最近，不少芯片设计公司在晶圆厂那里吃到了"闭门羹"，不少晶圆厂反馈：部分成熟工艺的产能已 经开始不好投片。然而，这并非传统意义上"缺芯"的简单回归，而是 AI 溢出效应引发的一场深刻 连锁反应。 AI 不只抢走先进制程与先进封装的资源，也通过电源与功率链条把压力传导到成熟节点：数据中 心功耗暴涨，带动 PMIC、功率器件、驱动等需求持续抬升，而这类芯片往往依赖 8 英寸或成熟 制程产能；当供给侧又出现缩减时，成熟工艺自然更容易出现投片变难、利用率拉满、价格修复的 连锁反应。此外，AI催动的存储市场回暖，正通过 NOR Flash 等基础器件的涨价，进一步抬高 MCU 与各类模组的综合成本。 而近段时间，晶圆厂的一些动作也是暗流涌动。台积电、三星加速收缩 8 英寸旧产线，硅片厂扩 产12英寸，力积电卖掉最先进的12英寸新厂。。。一系列看似分散的事件，背后其实指向同一个 趋势——2026 年的半导体格局，早已不再是简单的周期波动，而是一场关乎生存的产能重构。 理解这场重构的第一把钥匙，就是从一个看似"过时"的主角开始：8 英寸。 8英寸，巨头退场，利弊如何？ 在 8 英寸 ...