郭晨凯 制图 ◎记者 李兴彩 春节期间，算力产业链新闻不断。OpenAI"大幅下调"算力投资，引发广泛关注和讨论；Meta与英伟达 达成一项价值数十亿美元的芯片采购协议；Taalas芯片的异军突起引人瞩目…… 不过，在AI应用加速落地的背景下，产业链公司对算力结构、AI大模型乃至于商业模式的需求，都将 发生变化，AI推理算力、国产AI芯片的投资机遇值得重点关注。 算力领域新闻多 产业链景气持续 2月21日，OpenAI宣布，将2030年前的AI基础设施支出目标由1.4万亿美元下调至6000亿美元，引发广 泛关注。知情人士表示，该6000亿美元为纯算力专项支出，聚焦芯片采购与租赁。与此同时，OpenAI 仍在推进超千亿美元的融资，其中90%资金将来自英伟达、软银、亚马逊等战略投资者。 OpenAI CEO山姆·奥特曼于2025年11月演讲中提出，2030年前在AI基础设施上投入约1.4万亿美元，用于 构建全球领先的算力体系，这一广义远景涵盖芯片、电力、土地、数据中心建设等全产业链投入。 对于OpenAI"大幅下调"投资预算，业界给出整体上较为正面的评价。该事件短期情绪上可能利空英伟 达产业链，但长期来看，这意味 ...

Group 1 - Nvidia announced a "multi-generational" partnership with Meta to deploy millions of Nvidia's current and next-generation chips for AI training and inference data centers [1][4] - This collaboration marks Nvidia's entry into the CPU market, traditionally dominated by Intel and AMD, as Meta will utilize both Nvidia's GPUs and CPUs [1][4] - The partnership highlights Meta's increasing reliance on Nvidia, despite its own chip development and collaborations with competitors like AMD and Google [4] Group 2 - The collaboration includes Nvidia's networking equipment and confidential computing technology for WhatsApp's AI features, as well as the deployment of the next-generation Vera CPU to replace the current Grace CPU [4] - By choosing a single supplier for a full-stack chip solution, Meta aims to reduce operational complexity, while Nvidia's move indicates its ambitions in the CPU space [4] - The current demand for AI infrastructure is strong, suggesting that competitors like Intel and AMD may not experience significant declines in the short term despite increased competition [4]

Summary of Key Points from the Conference Call Industry Overview - The conference focused on the AI computing industry, highlighting the significant role of system vendors like NVIDIA and Google in shaping market trends, while TSMC and ASML are pivotal in providing technological platforms [1][2] - Silicon photonics technology emerged as a key topic, aimed at reducing energy consumption unrelated to computation, with large-scale commercialization expected by 2027 [1][2] Company Insights TSMC - TSMC is advancing steadily in its technology, with 2nm process expected to achieve mass production by 2025 and ongoing development of 3nm technology, enhancing its pricing power and customer profitability [1][3] - Under the Foundry 2.0 concept, TSMC's advanced packaging revenue is accelerating, with six operational factories and plans for four new ones, including expansions of CoWoS, SoIC, and CoPoS platforms [1][15] - TSMC's average selling price (ASP) has nearly doubled from $3,000 in 2019 to over $7,000 currently, driven by its technological advantages [13] - Future revenue growth for TSMC is heavily reliant on high-performance computing (HPC) clients, with a 70%-80% growth rate among these customers [16] - TSMC's capital expenditures have increased, with a peak in 2021 at 50% of revenue, but the pressure is expected to ease moving forward [21] Oracle - Oracle's capital expenditures have significantly increased, potentially linked to securing a large order from OpenAI, which could drive additional computing demand [3][19] - If Oracle executes on its projected orders, it could benefit not only itself but also related companies like SoftBank and Industrial Fulian [19] Industrial Fulian - Industrial Fulian is positioned to benefit from the AI-related capital expenditure cycle, particularly in its cloud service equipment segment, which is expected to see rapid growth in 2025 and 2026 [23][24] Market Dynamics - The energy consumption associated with AI development is rising sharply, with cabinet energy consumption projected to increase from 60 kW in 2022 to 120 kW in 2025, and potentially reaching 500 kW by 2027 [10] - New AI chip architectures are emerging, such as 3D stacking and RISC-V based designs, which could significantly impact the market landscape [11] Competitive Landscape - Google and NVIDIA have different approaches in the semiconductor solutions space, with Google utilizing over 9,000 TPUs, while NVIDIA focuses on GPUs [7] - TSMC and ASML are leading the global semiconductor technology landscape, with TSMC introducing GAA technology and ASML advancing EUV lithography [8] Investment Outlook - TSMC is expected to see annual profit growth of 25%-30% in the coming years, with an attractive valuation compared to its peers [4][22] - The semiconductor industry is anticipated to continue evolving, with significant opportunities for companies like TSMC and Industrial Fulian in the AI computing supply chain [25]

Summary of Key Points from the Conference Call Industry or Company Involved - The discussion primarily revolves around the **U.S. tariff policy** and its implications on **global trade**, particularly focusing on the **U.S.-China trade relationship** and the impact on various industries. Core Points and Arguments - The U.S. government has announced a **10% baseline tariff** effective from **April 5, 2025**, projected to generate **$1.9 trillion** in revenue from **2025 to 2034** [2][4] - The tariff policy is based on a **reciprocal principle**, with varying rates for different countries, notably a **34% additional tariff** on Chinese goods, despite claims of a **67% tariff** by the Trump administration [2][3] - The new tariffs are expected to significantly impact **domestic supply chains** and **export trade**, particularly affecting **labor-intensive industries** and companies reliant on **supply chains in Southeast Asia** [2][5] - **Chinese electrical products** face a **66% weighted average tariff**, undermining their cost advantage, while the **textile and apparel sector** may pass costs onto U.S. consumers due to low profit margins [2][7][8] - The Trump administration plans to impose a **25% tariff on automobile imports** and has eliminated the **de minimis exemption** for small packages, introducing a **30% import value-added tax** [9][10] - The high tariffs are likely to increase **global supply chain costs**, affecting U.S. buyers and consumers, and may lead to a reconsideration of production bases, potentially encouraging **reshoring** [12][20] - China may respond with **targeted countermeasures** rather than broad retaliation, focusing on specific sectors to mitigate negative impacts [15][17] - The agricultural sector's tariffs are expected to contribute to rising **U.S. inflation**, with projections of a **1% increase in CPI**, potentially leading to **stagflation** risks [16][20] - The Trump administration's policies are politically motivated, with tariffs potentially serving as leverage in **midterm elections** [22][23] - Future negotiations may allow for **product exemptions** or tariff delays, particularly in sectors like **pharmaceuticals and semiconductors** [13][14] Other Important but Possibly Overlooked Content - The **dynamic adjustment** of tariffs based on China's export levels to the U.S. indicates a flexible approach to trade policy [23] - The potential for **non-tariff barriers** as a response to U.S. pressures, with China possibly increasing scrutiny on U.S. imports [19] - The **long-term implications** of the U.S. tariff strategy on global trade relations and the potential for a **shift in supply chains** away from traditional partners [12][24] - The **most-favored-nation status** for China could be at risk, with strategic goods facing **100% tariffs** and non-strategic goods potentially facing high tariffs as well [25]