Group 1 - The core issue highlighted is that despite Nvidia's impressive quarterly performance, the stock price has declined, indicating that market expectations may be too high [2][7] - Jensen Huang expressed frustration that the market does not fully recognize Nvidia's strong quarterly results, leading to a "no-win" situation where any performance shortfall could be interpreted as evidence of an AI bubble [2][7] - Nvidia's stock fell by 9% in November and over 13% in the past month, despite a 62% year-over-year revenue growth and a 65% increase in net profit, surpassing Wall Street expectations [7][11] Group 2 - Huang's concerns echo the historical experiences of Intel and Microsoft, who faced similar market pressures despite strong performance, leading to stock price declines due to concerns over future sustainability [10][11] - The article draws parallels between Nvidia's current situation and past experiences of tech giants like Microsoft and Intel, emphasizing the challenges of being a market leader under high expectations [10][11] - The narrative also touches on the competitive landscape in the AI sector, with companies like Google and Meta vying for leadership, indicating a fierce battle for dominance in the AI era [20][21] Group 3 - Nvidia is currently positioned as a dominant player in the AI chip market, akin to the "Wintel" alliance of the PC era, but faces increasing competition from companies developing their own AI chips [19][20] - Google's advancements with its TPU technology pose a significant threat to Nvidia, as TPU servers reportedly have a lower total cost of ownership compared to Nvidia's offerings [22][21] - The article concludes with a warning that Nvidia must remain vigilant against emerging competitors, as the landscape of AI technology continues to evolve rapidly [28]
黄仁勋和马斯克,谁才是「时代的司机」?