黄仁勋和马斯克，谁才是“时代的司机”

Core Viewpoint - The article discusses the challenges faced by NVIDIA and its CEO Jensen Huang in the current market environment, highlighting the high expectations from investors and the pressure to deliver consistent performance amidst concerns about sustainability and potential AI bubble risks [4][5][6]. Group 1: NVIDIA's Market Position and Challenges - Huang expressed frustration that the market does not fully recognize NVIDIA's impressive quarterly performance, indicating that the company is in a "no-win" situation where any slight underperformance could lead to significant market repercussions [4][7]. - In November, NVIDIA's stock price fell by 9%, and over the past month, it has dropped more than 13%, despite reporting a 62% year-over-year revenue growth and a 65% increase in net profit, surpassing Wall Street expectations [7][10]. - Huang's comments reflect a broader concern that the company is seen as a pillar supporting the global stock market, with any negative performance potentially being interpreted as evidence of an AI bubble [7][10]. Group 2: Historical Context and Comparisons - The article draws parallels between NVIDIA's current situation and the past experiences of Intel and Microsoft, both of which faced similar market pressures despite strong performance [10][12]. - Historical examples are provided, such as Microsoft's stock drop in 1996 despite strong earnings due to concerns about future growth, illustrating how market sentiment can impact stock prices regardless of actual performance [13][14]. - The narrative also includes Apple's experience during the mobile era, where even strong financial results did not prevent stock price declines due to market skepticism about future demand [18][19]. Group 3: Competitive Landscape in AI - The article highlights the competitive dynamics in the AI sector, with major players like Google, Meta, and Amazon also vying for leadership, indicating a fierce battle for market share and technological supremacy [23][26]. - Google's advancements with its TPU technology are noted as a significant threat to NVIDIA, as TPU offers lower costs and higher efficiency compared to NVIDIA's GPUs, potentially allowing Google to capture NVIDIA's customers [26][27]. - The ongoing "driver's seat" competition in the AI landscape is emphasized, with various companies positioning themselves to challenge NVIDIA's dominance, reflecting a rapidly evolving industry [23][34].