编者按： 如今，AI已深度融入我们的生活：有人用Kimi撰写代码，有人用豆包生成图片……科技推倒了所有壁垒，让知识普及至大众，但担忧也随之而来：当AI 掌握人类所有有记录的智慧，人类的思维与创造力是否会变得陈旧无用？ 传播理论大师马歇尔·麦克卢汉曾提出"技术是人类身体延伸"的理论——汽车是双腿的延伸，电话是声音的延伸；乔布斯则将电脑比作"心智的自行车"， 它扩展了人类思考、解决问题、交流的范围；以此类比，AI或许是"心智的火箭飞船"。 更多人认为，本质上无论是电脑还是AI，都只是心智的"工具"，而非"替代品"。我们不应该将"创造力"与"回忆事实的能力"混为一谈——AI确实能精准调 取事实，却无法复刻人类心智最核心的功能：处理信息、以独特认知解读信息，在已知事物中构建个人叙事，并通过"讲故事"传递观点、引发共鸣。 AI的短板 AI和新兴技术会对我们的生活产生什么影响？这类辩论通常可以归为两类：一类探讨AI如何增强人类的工作能力，另一类则关注AI驱动的自动化将如何 颠覆人类的工作甚至替代人类。 麻省理工学院斯隆管理学院的研究团队，却跳出了这个框架——他们提出的问题是："人类的哪些能力可以弥补AI的不足？"他们的研 ...

Core Viewpoint - The article discusses the integration of AI into daily life and emphasizes that while AI can process information and generate outputs, it cannot replicate the unique human abilities of creativity, emotional connection, and storytelling [3][19]. Group 1: AI's Limitations - AI faces a "small data" reasoning dilemma, where insufficient or biased data can lead to flawed logic, with 96% of companies struggling with data quality [6]. - The external extrapolation capability of AI is limited, making it unreliable for predictions beyond its training data, which affects its ability to replicate human convergent and divergent thinking [7]. - AI struggles with multi-solution challenges, often providing a single answer to complex problems, which can lead to biases in decision-making [8]. - AI lacks the ability to understand interpersonal relationships and empathy, which are crucial for meaningful human connections [9]. - AI cannot comprehend the influence of subjective beliefs on decision-making, which can lead to groundbreaking ideas that challenge mainstream thinking [10]. Group 2: Human Core Competencies - The MIT research team developed the "EPOCH capability framework," highlighting five human traits that AI cannot replicate: empathy, social presence, judgment, creativity, and leadership [11][12]. - Jobs requiring EPOCH capabilities are expected to grow, indicating that human traits will become increasingly valuable in the workforce [15]. - The ability to tell stories is emphasized as a timeless skill, representing human creativity and emotional intelligence, which AI cannot mimic [16][19]. Group 3: Implications for the Future - The findings suggest that AI strategies should focus on empowering workers by enhancing human traits that are often overlooked in training for an AI-driven future [15]. - The article concludes that while AI can generate information, it cannot create meaning or connections, which are the ultimate values of human experience [19].