Group 1 - The article highlights a paradox where AI, intended to enhance productivity, has led to increased workloads for lower-level employees, referred to as "cattle" [4][30][31] - There is a significant disparity in AI usage between management and execution levels, with higher-level professionals using AI as a strategic tool while lower-level employees often use it for basic tasks [20][22][32] - AI has created a wealth pool, but the benefits of efficiency gains are not reflected in employee compensation, leading to a disconnect between productivity and remuneration [26][28][42] Group 2 - The article discusses the need for companies to rethink their approach to AI, emphasizing the importance of integrating AI into workflows while considering employee well-being and creativity [41][52][55] - It suggests that organizations should invest in management's AI literacy to foster effective human-machine collaboration rather than merely using AI as a cost-cutting tool [36][54][56] - The future of work will require individuals to shift from a mindset of task execution to one of critical thinking and effective questioning, leveraging AI as a collaborative partner [49][50][58]

最近到客户公司驻场服务，发现一个现象：经理级别以上的，基本不怎么使用AI，也多数不懂怎么使 用，而执行层，尤其是那些文案、设计、做短视频剪辑的"牛马们"，反而用得最多。 这让我想起之前看的谷歌一份报告中写到，有高达90%的软件工程师已在工作中使用AI，OpenAI的数 据也表明，近40%的工作对话与写作辅助相关。 我甚至一度有些疑虑，为何没有看到相应的幸福感飙升？ 表面是效率工具的应用有所差异。 实际上，我们根本没法将AI视作一个中性的工具，它正在敏锐地放大职场固有的矛盾与结构——效率 提升的红利，未必导向执行者的阶层升迁，反而可能通过更精细化的任务分派、更快的节奏期望，无形 中加固了他们"牛马"的岗位命运。 如何让"牛马"更卷？ 你肯定见过这种场景，或者你自己就是亲历者：以前写代码，一天吭哧吭哧产出几十行，现在有了AI 辅助，老板的期望值立刻水涨船高，一天100行成了新基准。 谷歌CEO桑达尔·皮查伊沾沾自喜地宣布，AI工具让自家工程团队的开发效率提升了10%。 这10%的效率提升，你以为真的可以提前下班？ 在老板们眼里，不过是意味着你应该在同样的时间里，多产出10%的代码、10%的文案、10%的设计 稿。 ...