Core Viewpoint - AI remains the main theme of CES 2026, with a significant shift from software to physical world integration, empowering various AI terminals. The new wave of innovation driven by generative AI is just beginning, with traditional consumer electronics like AI smartphones and AI PCs expected to benefit from a consumer upgrade cycle, while AI glasses and embodied intelligent robots have transitioned from the "0 to 1" stage to the "1 to N" stage, indicating a potential for rapid growth in product shipments. The focus should be on the AI hardware supply chain [1] Group 1: AI Chips - Continuous iteration in chip architecture and manufacturing processes is enhancing AI inference efficiency and reducing costs. Major tech companies like NVIDIA, AMD, Intel, and Qualcomm showcased advancements at CES 2026, with NVIDIA announcing the full production of the Vera Rubin platform, which integrates six key chips and reduces AI inference costs by 90%. AMD's Helios platform, based on MI455X, boasts a tenfold performance increase and has gained recognition from leading clients like OpenAI. Intel introduced the Core Ultra3 series processors with over 70% superior integrated graphics performance compared to competitors, while Qualcomm launched the Snapdragon X2Plus platform to redefine Windows AI PC standards [2] Group 2: Traditional Consumer Electronics - AI smartphones and AI PCs are undergoing continuous innovation, with an emphasis on software AI interaction experiences. Lenovo introduced a rollable screen and foldable PC, enhancing AI PC capabilities through its "hybrid AI" strategy. Dell and HP upgraded their flagship AI PC products, significantly improving edge AI performance. YPlasma launched the world's first plasma cooling laptop, revolutionizing thermal management in consumer electronics. Samsung showcased a foldable OLED display solution for the next generation of foldable smartphones, while Honor presented the world's first robot phone, enhancing AI interaction through a gimbal camera [3] Group 3: New AI Terminals - New AI terminals are accelerating from general interaction to deep scene penetration. Chinese brands are leading innovation in AI glasses, with Thunderbird showcasing the world's first eSIM smart AR glasses, marking a shift to independent communication for AR devices. Rokid released the ultra-lightweight, screenless AI glasses "Rokid Style," focusing on voice-first interaction. XREAL and ROG jointly launched the R1 gaming glasses, supporting 240Hz refresh rates. AI large models are moving beyond software to empower emotional companionship, sports health, and pet care, indicating a personalized evolution in the AI terminal industry [4] Group 4: Automotive & Robotics - Physical AI models are accelerating the realization of intelligent driving, with companies like NVIDIA lowering the R&D threshold for L4 autonomous driving through the open-source Alpamayo system. Chinese automakers such as Geely and Great Wall are rapidly advancing full-stack intelligent driving solutions towards mass production. Innovations in mobility are diversifying, from Strutt's smart wheelchair enabling "human-machine co-driving" to Verge's solid-state battery electric motorcycle showcasing extreme performance. In the realm of embodied intelligence, NVIDIA is building an open ecosystem with the Jetson Thor chip and Isaac platform, while Boston Dynamics released the mass-produced Atlas humanoid robot, collaborating with Hyundai and DeepMind for large-scale industrial applications. LG introduced home robots CLOiD and the AXIUM actuator brand, covering the entire supply chain from core components to scene ecosystems. Chinese companies like Yuzhu and Zhiyuan are demonstrating rapid commercialization capabilities in industrial automation and home services, marking a new phase of large-scale application in the global robotics industry [5]

然而，大摩重申，在自动驾驶方面，特斯拉仍领先竞争对手数年，并点出其垂直整合能力、庞大的数据 优势、规模效应与成本优势。报告强调，英伟达的技术进展并未实质改变该行对特斯拉的基本看法，该 行的基准情境假设是未来十年整个产业将广泛采用相当于特斯拉L2 级以上FSD(全自动辅助驾驶)的技 术。尽管英伟达为车厂提供了一条资本效率较高、迈向先进自动驾驶的入口，但要真正开发并整合完整 的自驾技术堆叠，仍是以年为单位，而非以月计算。 摩根士丹利研报指出，英伟达近期大力推进实体AI布局，正引发市场对传统车厂能否以及多快能缩小 与特斯拉在自动驾驶上的差距提出新疑问。英伟达在消费性电子展(CES)的主题演讲将自动驾驶车与人 形机器人推向舞台中央，其中全新的Alpamayo系统成为最大焦点之一。大摩指出，这套技术堆叠的目 标在于加速原始设备制造商(OEM)迈向可规模化、具推理能力的自动驾驶，有潜力重塑驾驶辅助与自驾 系统的竞争格局。 ...