大学讲堂| 未可知 x 浙工大: 杜雨博士为大一新生授课《AI大潮下的自我升级》

Core Viewpoint - The core message emphasizes that AI is not here to replace humans but to eliminate those who cannot adapt to AI technologies, highlighting the importance of self-upgrading and skill transformation in the AI era [4][6]. Group 1: AI's Impact on the Labor Market - AI's influence on the labor market is analyzed through a three-dimensional framework, indicating that the competition between AI's substitution and creation effects hinges on human adaptability to change [4][6]. - The agricultural, industrial, and service sectors are experiencing "AI-filtered upgrades," with new roles such as smart agricultural robots, industrial metaverse engineers, and AI interaction designers emerging as direct products of this transformation [8]. - The concept of "human-machine collaboration" is presented as a current necessity, where failure to collaborate with AI could lead to unemployment [11]. Group 2: Transformation of Job Skills in the AI Era - Data from McKinsey and Goldman Sachs reveals that 46% of tasks in U.S. white-collar jobs can be automated by AI, with the legal sector at 44%, while the arts have a low automation rate of 1%, underscoring that AI can handle processes but not creativity [14]. - The notion of "learning a trade for life" is criticized as outdated in the AI era, with a focus on five skill dimensions: technical skills (STEM), advanced cognitive skills (creativity, critical thinking), and social-emotional skills (empathy, leadership) being essential for resisting AI obsolescence [15][17]. Group 3: Practical Paths for Self-Upgrade - Four key thinking principles are proposed for self-upgrading: 1. Reverse thinking encourages strategic positioning during market fluctuations [18]. 2. Risk thinking challenges the notion of AI as an all-powerful solution, emphasizing the danger of over-reliance on AI [20]. 3. Compound thinking advocates for continuous improvement, suggesting that incremental daily progress can outpace AI advancements [22]. 4. Leverage thinking positions AI as a powerful tool that can either merely illuminate or propel significant advancements, depending on the user's capability [24]. Group 4: Interactive Q&A and Practical Training - During the interactive Q&A, the focus shifts to addressing "AI anxiety," with the advice to shift from "should I learn AI?" to "how can I use AI?" This perspective encourages students from non-technical backgrounds to leverage AI as a tool to enhance their professional capabilities [26]. - The conclusion emphasizes that the essence of the AI competition is a race against time, where the difference between individuals lies in how effectively they utilize AI to save time and deepen their thinking [32].