CES 2026见证AI生态变局 中国厂商跻身全球核心阵营

Core Insights - The competition among major chip manufacturers is intensifying around the foundational computing power for AI, with native AI hardware accelerating its large-scale implementation, transitioning from laboratory settings to consumer and industrial applications [1][2] - Chinese manufacturers are playing an increasingly significant role at global tech events, showcasing their advancements in AI hardware and capabilities, which are supported by their supply chain and R&D strengths [2][11] Group 1: Computing Power and AI Development - The rapid evolution of underlying computing infrastructure is crucial for the accelerated development of AI large models, with chip leaders emphasizing the exponential growth of computing power and the new application opportunities it creates [3][4] - NVIDIA's CEO highlighted the arrival of the "ChatGPT moment" for physical AI, indicating that machines are beginning to understand and act in the real world, with autonomous taxis being one of the first applications to benefit [3] - AMD's CEO noted that the floating-point computing power for training AI models is growing fourfold annually, with inference token consumption increasing by 100 times over the past two years, necessitating new product offerings to meet Yotta-scale infrastructure demands [4] Group 2: Emerging AI Applications - The potential of edge AI is significant, with advancements in smart wearable devices being highlighted as a new category of mobile terminals that will coexist with smartphones [5][6] - Qualcomm's CEO projected that the market for personal AI devices could reach 100 million units in the coming years, emphasizing the importance of edge data for providing highly relevant user services [6] Group 3: Robotics and Physical AI - The maturity of physical AI was showcased at CES, with Chinese manufacturers presenting advanced robots that demonstrate improved capabilities compared to previous years [7][8] - The introduction of humanoid robots and their increasing commercial viability was noted, with companies achieving substantial progress in motion control and operational precision [9][10] - The integration of hardware, sensors, and environmental perception into scalable systems is seen as essential for advancing physical AI applications across various industries [10] Group 4: Chinese Manufacturers' Competitive Edge - Chinese companies are leveraging their supply chain efficiencies and R&D capabilities to drive rapid iterations and cost optimization in the robotics sector, significantly outpacing European competitors in product development cycles [11][12] - The shift from simple manufacturing to innovative solutions reflects a broader transformation in the perception of "Made in China" to "Created in China," highlighting the technological advancements and better solutions being offered [12]