中国顶尖AI科技人才，无尽的前沿

Group 1 - Huang Renxun has publicly discussed China's AI talent advantage, noting that 50% of global AI researchers are from China [1][2] - The narrative of localizing talent in China is supported by DeepSeek, which indicates a shift from following innovation to hardcore innovation [3][30] - The increasing presence of Chinese researchers in US AI companies highlights the changing talent dynamics [5][6] Group 2 - The supply of AI talent in China is gradually surpassing that of the US, with the percentage of top AI researchers with undergraduate degrees from China rising from 29% in 2019 to 47% in 2022 [11][17] - Chinese AI talent is becoming increasingly competitive globally, with the proportion of top AI researchers in the US who are originally from China increasing from 27% in 2019 to 38% in 2022 [13][17] - The trend of Chinese talent returning to China is evident, with over 60% of those who had interactions with the US staying for only one year [26][24] Group 3 - The US is facing a talent deficit in AI, with concerns about the lack of domestically trained talent [16][32] - The number of AI graduates in China is significantly higher than in the US, with 2022 figures showing that the number of AI graduates in China was six times that of the US [17][18] - The perception of the US as the primary destination for top AI talent is changing, with reports indicating that net inflow of AI talent to the US is approaching zero by 2025 [35][37] Group 4 - DeepSeek represents a shift in the narrative of AI talent localization, demonstrating that China can cultivate world-class AI talent independently [30][31] - The trend of attracting global talent to China is beginning, with notable figures from prestigious institutions considering positions in Chinese universities [44][45] - The need for China to cultivate local talent while attracting global talent is emphasized as essential for leading in the new technology revolution [45]