今年的 CES 可以说是全面复苏，参展商超过 4100 家，其中包括英伟达、AMD、高通、联想集团、TCL 等公司。观众预计突破 15 万人。但数字之外，我 们看到更显著的变化在于，越来越多、品类各异的硬件都在拥抱 AI。 CES 2026 开幕：AI、芯片与机器人与具身智能站上舞台中央 1 月 6 日，2026 年国际消费类电子产品展览会（CES 2026）开幕，作为全球最具影响力的消费电子展会之一，CES 被视为新技术和产业趋势的风向标， 一些厂商提前半个月就已经开始预热。 CES 2026 也将不再仅仅纠结于 AI 能写几行代码或画几张图，而是将其作为底座，彻底重构芯片、屏显、家电、出行等每一个消费电子垂直领域。同时， 「机器人与具身智能」、「智能汽车」、「AI 硬件」和「趣味黑科技」四大领域也备受关注。（来源：极客公园） 马斯克 xAI 宣布完成 200 亿美元 E 轮融资，原定目标 150 亿 1 月 7 日，马斯克旗下 AI 初创公司 xAI 今日发布公告，宣布已完成一轮 200 亿美元（现汇率约合 1400.14 亿元人民币）的 E 轮融资，超过了此前设定的 150 亿美元目标。 xAI 表示， ...

Core Insights - Saudi Arabia's Public Investment Fund (PIF) subsidiary HUMAIN has established multiple AI partnerships at the US-Saudi Investment Forum, collaborating with companies like AMD, Amazon AWS, and xAI [1] Group 1: Partnerships and Collaborations - HUMAIN, AMD, and Cisco will invest in a joint venture set to operate by 2026, aiming to deliver a cumulative 1GW of AI infrastructure by 2030, with an initial 100MW phase in Saudi Arabia utilizing AMD Instinct MI450 accelerators and Cisco's infrastructure solutions [3] - HUMAIN and Amazon AWS will set up an AI Zone data center in Riyadh, deploying NVIDIA GB300 superchips and Amazon's Trainium chips, while also accelerating AI applications in the public and private sectors and developing advanced Arabic language models [3] - HUMAIN will collaborate with xAI to develop a world-class GPU data center network, including a flagship facility with over 500MW capacity, marking xAI's first large-scale deployment of computing resources outside the US [3] - HUMAIN and Groq will expand the capacity of Groq's inference infrastructure in Saudi Arabia to over three times its current size, supporting the development of Groq's next-generation AI inference chips and rack-level systems [4] - HUMAIN and Adobe will collaborate on AI content creation tailored to the Arab region, with Adobe becoming HUMAIN's first global AI data center client using Qualcomm's rack-level solutions [5] - HUMAIN and Global AI, NVIDIA's cloud partner, plan to deliver large-scale AI data centers and computing capabilities in the US based on NVIDIA's latest computing and networking chips [6] - HUMAIN has invested in Luma AI, a multimodal GenAI startup, with Luma AI's flagship Ray 3 model and Dream Machi content generation platform set to run on HUMAIN's 2GW AI infrastructure in Saudi Arabia [6]

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - Japan's Ministry of Economy, Trade and Industry announced subsidies exceeding 500 billion yen (approximately $3.64 billion) for Micron's next-generation DRAM R&D and mass production [21] - Micron plans to invest 1.5 trillion yen by the end of the 2029 fiscal year to enhance production capacity at its Hiroshima plant, aiming for a monthly output of 40,000 advanced DRAM wafers [22] - Apple is expected to introduce chips using TSMC's 2-nanometer process in 2026, securing nearly half of TSMC's initial capacity, which will strengthen TSMC's market position [26][29] - xAI has laid off over 500 data labelers to focus on expanding its team of Specialist AI Tutors for the Grok model [34][35] - Google is shifting its TPU strategy to a "Hardware-as-a-Service" model, deploying TPUs in third-party data centers while retaining ownership, aiming to penetrate NVIDIA's market [38][42] Summary by Sections Japan's Semiconductor Industry - The Japanese government will subsidize one-third of Micron's production line equipment investment, with a maximum of 500 billion yen [23] - The total amount of subsidies to Micron has reached 774.5 billion yen, ensuring a stable supply of semiconductors crucial for economic security [24] Apple and TSMC - Apple's new product strategy includes a "three-tier version" of its A-series processors, enhancing product differentiation and potentially impacting future M-series processors [28][30] - The tiering strategy may complicate product naming and positioning, leading to a reliance on benchmark tests rather than model numbers [33] xAI and AI Industry - xAI's restructuring involves significant layoffs in its data labeling team, which was the largest department, indicating a shift in focus towards specialized AI roles [34][36] Google TPU Strategy - Google's TPU strategy involves a partnership model where TPUs are deployed in third-party data centers, allowing for revenue sharing while avoiding direct competition with NVIDIA [41][42] - This approach lowers capital expenditure barriers for partners and expands the potential customer base for Google TPUs [43][46]