Xin Hua Cai Jing·2025-11-26 06:15Core Viewpoint - The stock performance of major tech companies in the U.S. has shifted, with Nvidia experiencing a decline while Google's stock continues to rise, indicating a potential change in the market dynamics of AI-related investments [2][3]. Group 1: Stock Performance - Nvidia's stock dropped by nearly 7% at one point, closing down 2.59%, while Google's stock rose over 3% initially and closed up 1.53%, reaching a market capitalization of $3.9 trillion [2]. - The "Google chain," represented by companies like Google and Broadcom, has been on the rise, contrasting with the decline of the "OpenAI chain," which includes Nvidia, SoftBank, and Oracle [2]. Group 2: Technological Developments - Google's development of its Tensor Processing Unit (TPU) has begun to challenge Nvidia's long-held dominance in the GPU market, with the TPU specifically designed for machine learning and deep learning tasks [2][3]. - The latest language model from Google, Gemini 3, reportedly surpasses OpenAI's GPT model in several aspects and is trained using TPU rather than Nvidia chips [3]. Group 3: Market Trends - The demand for ASIC chips, which are tailored for AI training and inference, is expected to grow significantly, with the ASIC market projected to expand from approximately $6.6 billion in 2023 to $55.4 billion by 2028, reflecting a compound annual growth rate of 53% [4]. - Major tech companies are likely to continue developing in-house AI chips or support new AI chip suppliers to meet the substantial demand for computing power in the AI industry [4].