▲ 戳蓝 色字关注我们！ 近日，未可知人工智能研究院院长杜雨博士受邀重返浙江工业大学，为大一新生带来《 AI什么都会，我们还做什么？——AI大潮下的自我升级与职业 未来 》主题公开课。 本次活动由未可知人工智能研究院与浙工大人工智能协会联合主办，是双方继去年首次合作后，在AI通识教育领域的又一次深度探索。 01 三维框架解析 AI对劳动力市场的深层变革 演讲伊始，杜雨博士结合课件中"人工智能对劳动力市场的三维影响"框架，抛出犀利观点： "AI不是来取代人的，而是来淘汰不会用AI的人" 。 他引用Acemoglu和Restrepo等学者的研究指出，宏观上AI的替代效应与创造效应正在激烈博弈，而胜负的关键在于人类能否主动拥抱变革——当创造 效应占优时，不仅就业总量会提升，更会催生出"十年前想都不敢想"的高薪新岗位。 中观层面，三大产业正经历"AI过滤式升级"，第一产业的智能农业机器人、第二产业的工业元宇宙工程师、第三产业的AI交互设计师，都是这场变革 的直接产物。 微观层面，"人机协作"早已不是未来时，而是"不会协作就会失业"的现在时。 他直指痛点："现在还抱着'学好一门手艺吃到老'的想法，无异于在AI时代'裸奔 ...

Core Insights - The article emphasizes the necessity for professionals to adapt to the rapid advancements in AI technology, questioning the sustainability of their current expertise in the evolving job market [1][3]. Opportunities - AI is reshaping industries, and early adopters are reaping significant benefits. It is not a matter of choice but a necessity, as AI acts as a "restructuring hammer" impacting all sectors [5]. - AI enhances quality in smart manufacturing, efficiency in financial technology, breakthroughs in healthcare, and redefines experiences in education and training [6]. - Understanding how to leverage AI within one's industry equates to obtaining a "ticket" for career advancement, while those who lag may miss out entirely [8]. Challenges - The job market is undergoing a significant transformation, and failure to keep pace with AI advancements may lead to obsolescence. AI is disrupting traditional job roles, particularly those reliant on repetitive tasks [9][10]. - The competition in the workplace is shifting from a focus on singular skills to a demand for comprehensive abilities and innovative thinking. Those clinging to outdated methods will quickly fall behind [11][12]. Key Strategies for Career Advancement - **Cognitive Upgrade**: The essence of an MBA is a way of thinking. In the AI era, upgrading cognitive frameworks is crucial for achieving career breakthroughs and developing unique core competencies [12]. - **Equity Thinking**: Emphasizing long-termism in career development, akin to investment principles, is vital for navigating industry cycles [14]. - **Reverse Thinking**: Identifying opportunities in emotional blind spots created by AI's data processing capabilities can provide a competitive edge [15]. - **Risk Thinking**: Redefining risk as permanent loss rather than mere volatility shifts focus to capital preservation and sustainable survival [16][17]. - **Compound Thinking**: Emphasizing continuous accumulation of skills and knowledge leads to exponential career growth, contrasting with the linear growth of short-term efforts [18][21]. - **Leverage Thinking**: Utilizing AI as a leverage tool can amplify personal value and capabilities [22][25]. - **Brand Thinking**: In the age of AI, establishing a unique personal brand and influence is essential for standing out in a crowded job market [28]. - **Downhill Thinking**: Setting clear goals and creating diverse paths to achieve them is more effective than relying on predetermined routes [31]. - **Time Investment Thinking**: Managing time strategically to maximize efficiency is crucial in the AI era [35]. - **Lego Thinking**: The ability to deconstruct goals and efficiently assemble resources is key to success in a rapidly changing environment [38]. Actionable Guidelines - Professionals should adopt a mindset of continuous learning and humility, regularly acknowledging gaps in knowledge [47]. - Embracing change and breaking routine can foster innovation and adaptability [48]. - Building relationships across generations can enhance knowledge exchange and perspective [49]. - Long-term vision in decision-making is essential for sustainable career growth [50]. - Taking breaks can enhance productivity and creativity [51]. - Timely action on new ideas is critical to prevent loss of momentum [52]. - Establishing small, manageable habits can lead to significant long-term changes [53]. - Persistence in the face of challenges often leads to success [54]. - Learning probability and statistics can better equip professionals to handle uncertainty [56]. - Cultivating gratitude and positive relationships can enhance personal and professional opportunities [55]. Mastering AI - The essence of competition in the AI landscape is time management. Mastery of AI tools allows professionals to reclaim time, focusing on creative and strategic tasks, thus gaining a competitive advantage in career development [56].

Core Insights - The article emphasizes the timeless principles of value investing as articulated in Benjamin Graham's "Security Analysis," which remains relevant despite changing market conditions and investment paradigms [1][7]. Group 1: Historical Context - "Security Analysis" was published in 1934, following the 1929 stock market crash and the Great Depression, which significantly influenced Graham's investment philosophy [1]. - The book critiques the stock selection criteria used during the bull market prior to the crash, highlighting a shift from focusing on tangible assets and dividends to speculative future earnings [1][2]. Group 2: Evolution of Investment Principles - The article discusses the transition from valuing tangible assets in Graham's era to recognizing the importance of intangible assets like patents and brands in the late 20th century, and the emergence of network effects as a key competitive advantage in the 21st century [2]. Group 3: Timeless Investment Principles - The first principle is "Equity Thinking," which emphasizes viewing investments from an owner's perspective, reinforcing the idea that value is the foundation of investment [4]. - The second principle is "Contrarian Thinking," which encourages investors to question market consensus and act against prevailing emotions, advocating for buying undervalued assets and selling overvalued ones [5]. - The third principle is "Risk Thinking," which highlights the importance of recognizing asymmetric risks in finance and the necessity of strategies that ensure capital safety and satisfactory returns [6]. Group 4: Conclusion - The article concludes that the core principles of equity thinking, contrarian thinking, and risk thinking from "Security Analysis" are essential for successful investing across different market conditions and should be deeply understood and applied [7].

Core Viewpoints - The article emphasizes three universal principles from "Security Analysis" that transcend time: equity thinking, contrarian thinking, and risk thinking [1][19][20] Group 1: Equity Thinking - Investment is a game based on value, requiring a perspective from the owner's viewpoint, which is termed equity thinking [9][10] - Equity thinking serves as the foundation for long-termism, as only owners are willing to grow with the company [12][19] Group 2: Contrarian Thinking - The article discusses the human tendency of herd behavior, particularly in the stock market, which distorts investment actions [13][14] - Recognizing the cyclical nature of market emotions allows rational investors to question popular consensus and act contrary to the crowd [14][19] Group 3: Risk Thinking - The financial world is filled with "black swan" events that can have devastating impacts, highlighting the asymmetrical nature of financial risks [15][18] - Investment strategies must possess "traversability," meaning they should avoid irreversible actions that could lead to total loss [16][19]

关税战硝烟四起，从达尔文那里回看投资的本质 文/ 重阳投资合伙人舒泰峰 4月2日，特朗普向全球发起关税大战，一时间硝烟四起，搅得资本市场剧烈波动，投资者人心惶惶。 然而，冷静下来就不难发现，其实这正是投资的重要必修课之一——你永远不知道哪里会飞出一 只"黑天鹅"。不用追溯太久，仅仅回想过去5年，我们就经历了许多类似的"黑天鹅"事件：新冠疫 情、俄乌战争、美联储暴力加息等等，每一次都引起资本市场的急剧波动和投资者心理上的巨大冲 击，每一次似乎都"过不去了"，然而股市神奇的地方在于，每一次我们又都跨过了沟沟坎坎，找到了 新的生机。当然，不可否认在这个过程中也有不少个体由于没有系好安全带而悲剧性地被甩出轨道。 市场的这种神奇之处背后的秘密是什么？如何能在黑天鹅的冲击下立于不败之地？笔者在拙作《财富 是认知的变现》之中曾经总结过投资需要具备的12个认知武器，在这几年的市场震荡中，笔者又经过 反复琢磨提炼，觉得其中最重要的是四个思维：复利思维、逆向思维、风险思维和股权思维。如果对 应为心法的话就是四颗心：耐心、疑心、小心和初心。具备了这四种思维或四个心，或许能够帮助我 们更加从容看待"黑天鹅"事件带来的纷扰。 正好最近 ...

Core Viewpoint - The article emphasizes the importance of understanding investment principles in the face of unpredictable events, referred to as "black swan" events, and highlights four key investment mindsets: compound interest thinking, contrarian thinking, risk thinking, and equity thinking [2][3]. Group 1: Compound Interest Thinking - The story of the Manchester peppered moth illustrates how species adapt to environmental changes, emphasizing the power of compound interest over time. For instance, an initial investment of 100,000 yuan at a 20% annual return can grow to approximately 23.74 million yuan over 30 years [6][10]. - The article notes that many investors fail to harness the benefits of compound interest due to a lack of understanding of its gradual accumulation, which can lead to significant wealth over time [9][10]. Group 2: Contrarian Thinking - The life cycle of the periodical cicada, which waits 17 years to emerge and reproduce, serves as a metaphor for the investment strategy of patience and waiting for the right opportunities, contrasting with the impulsive nature of many investors [11][14]. - Successful investors often adopt a "sit and wait" approach, as exemplified by notable figures like Buffett and Munger, who emphasize the importance of long-term holding rather than frequent trading [13][15]. Group 3: Risk Thinking - The behavior of male deer during mating season illustrates the concept of minimizing risks in competition. They engage in ritualistic displays to avoid serious injury, reflecting the need to balance competitive actions with self-preservation [17][21]. - The article categorizes investment errors into two types: Type I errors (taking unnecessary risks) and Type II errors (being overly cautious). It suggests that successful investors prefer to avoid Type I errors, even if it means missing out on some opportunities [22][23]. Group 4: Equity Thinking - The green frog and the fiddler crab demonstrate the concept of signaling in the animal kingdom, where individuals may present misleading signals to gain advantages. This parallels the investment world, where discerning genuine signals from noise is crucial [25][29]. - The article stresses the importance of historical performance data as a reliable indicator of a company's potential, aligning with value investing principles that prioritize long-term fundamentals over speculative signals [30][31].