A group chat got into promotions, kicked off by a friend's essay: if you use AI to crank your output 10x and become the model workhorse, do you get the raise and the title? The reality is the opposite — the faster and more useful you are, the easier it is for the org to recast you as a high-throughput execution node. I break promotion into a multiplicative model: capability × narrative × sponsor motive × org slot × politics/timing, where any factor near zero collapses the whole case. AI mainly boosts capability and speed, but can quietly damage your narrative and your positioning. The danger isn't being too slow. It's being so fast nobody bothers to understand your judgment.

同一周两份报告——一份说全球已有 680 万数字员工、2035 年将达 7200 亿，另一份说'目前没有系统性失业增长'。两份都对。人们在恐慌错误的时间线。短期冲击被高估，长期影响被严重低估，正确的应对是成为能指挥 AI 团队的那个人。

Two reports dropped the same week — one says 6.8M digital workers today scaling to 720 billion by 2035, the other says 'no systematic unemployment yet.' Both are right. People are panicking about the wrong timeline. Short-term fear is overblown, long-term impact is wildly underestimated, and the right move is to become the person who orchestrates AI teams.

AI 不缺执行力。缺的是知道该执行什么的人。未来属于能从第一性原理出发、系统性拆解问题、高效编排 AI agent 军团的架构师型个体。这是超级个体的时代。

AI doesn't lack execution power. It lacks people who know what to execute. The future belongs to systematic thinkers who can decompose problems from first principles and orchestrate armies of AI agents. This is the era of the super individual.