Zhi Tong Cai Jing·2025-11-10 23:52Core Viewpoint - The ongoing US-China talks are easing relations, and the continued investment by three major tech giants indicates that global AI infrastructure development is accelerating, which is expected to drive demand in the computing supply chain for the long term [1][2]. Group 1: Cloud-side AI - The three major tech companies have significantly increased their capital expenditures (CapEx) to support AI infrastructure, with Meta raising its full-year CapEx forecast to $70-72 billion, and Microsoft reporting a 74% year-on-year increase in CapEx for Q1 FY2026 to $34.9 billion [2]. - Alphabet has also raised its full-year CapEx guidance to $91-93 billion, with Q3 capital expenditures exceeding market expectations, reinforcing its commitment to AI and cloud computing investments [2]. Group 2: Edge-side AI - The edge AI industry chain is heating up, with terminal manufacturers increasing investments in smart hardware and interactive innovations, leading to a rapid expansion of the ecosystem, with expectations for a significant year in edge AI by 2026 [3]. - Apple reported record earnings, with iPhone revenue expected to see double-digit growth in Q1 FY2026, driven by strong demand for the iPhone 17 series and ongoing investments in AI [4]. - Nvidia's GTC Washington Summit showcased the Vera Rubin super chip, with an adjusted GPU shipment target of 20 million units by 2026, indicating strong demand in the computing supply chain [5]. Group 3: Performance Highlights - Meta's smart glasses business exceeded expectations, with the AI glasses revenue becoming a key driver for Reality Labs' quarterly growth, prompting the company to increase production [6][7]. - Industrial Fulian reported a 62% year-on-year increase in net profit for Q3, driven by strong demand for AI servers and cloud computing, with overall revenue growth of 43% [8]. - Luxshare Precision showcased its leadership in the edge AI product innovation at the Optical Expo, highlighting breakthroughs in AI interconnection solutions [9]. Group 4: New Product Developments - Google officially launched the seventh-generation TPU "Ironwood," which is expected to enhance AI infrastructure capabilities significantly, with peak performance improvements of up to 10 times compared to previous models [10].