最烦做演讲,黄仁勋曝英伟达养了61个CEO、从不炒犯错员工:CEO是最脆弱群体
NvidiaNvidia(US:NVDA) 3 6 Ke·2026-01-19 10:43

Core Insights - Jensen Huang, CEO of Nvidia, emphasizes that the company's success is not based on GPU production volume but rather on its unique corporate culture and innovation capabilities [1][24] - Huang predicts that AI investments will fundamentally change computing, leading to computers that can learn autonomously under human guidance, resulting in a transformation of job roles rather than a reduction in employment [2][41] - Nvidia's management structure is designed to foster a safe environment where mistakes are tolerated, allowing for innovation and growth without fear of termination [1][25] Group 1: Company Philosophy and Culture - Nvidia has cultivated a culture where no one is fired for making mistakes, fostering a safe environment for innovation [1][25] - The company has a unique management structure with nearly 61 individuals acting as "CEOs," each deeply committed to the company's mission [1][18] - Huang believes that the essence of Nvidia's success lies in its corporate character and the ability to unite the team in adversity [24] Group 2: Vision for the Future - Huang asserts that in five years, AI will enable computers to handle problems a billion times larger than current capabilities, fundamentally altering the nature of work [38][39] - The future will see an increase in productivity and efficiency across industries, with AI solving previously insurmountable challenges [40][41] - Huang anticipates that while job roles will evolve, the overall number of jobs will not decrease, and AI will provide new opportunities for those currently unemployed [41][44] Group 3: Historical Context and Personal Insights - Nvidia's journey has spanned 33 years, with a consistent focus on reshaping the computing industry since its inception [5][16] - Huang reflects on the importance of learning from past decisions and maintaining a flexible approach to leadership and strategy [14][15] - The company has a history of making bold decisions, such as the early adoption of CUDA technology, which laid the groundwork for its current success [6][8]