你刚刷到这条消息，本来准备顺手划走，但又怕自己错过了真正会影响下一步判断的那一点。
最容易做错的，是How agents are transforming work；代价往往是如果只盯表面热闹，你很容易在错误方向上花掉时间、预算和注意力。；我先给一个保守判断：Agent先消灭协调劳动，不先消灭专家。
Picture the real moment. You see another AI update in your feed, almost scroll past it, then stop because you do not want to miss the one detail that should change your next move. My conservative read is this: agents eliminate coordination labor before they eliminate expertise.
That matters because coordination labor is what most teams feel every week: status reports, cross-team follow-ups, and rewriting the same summary for different people. An update is worth reading not because of how many features it lists, but because it changes your next decision. The first thing agents remove is often the 交接（handoff）, not the expert.
Microsoft's May 5, 2026 post mapped human+AI work into four roles and said the work going down is human step-by-step execution, while the work going up is setting direction, standards, and evaluation [S001]. Anthropic saw a similar shift at scale: across 1 million Claude conversations and 1 million API records, the share of tasks handed off to the model rose from 27% to 39% in 8 months [S003]. That does not mean coordination work has no judgment. It means coordination friction is exactly what agents can absorb first.
Boundary: this is a read based on Microsoft's May 5, 2026 post and Anthropic preprint arXiv:2511.15080, not a controlled test inside one company. If this matches what you are seeing, share it with the person on your team who spends the most time moving information between people, then ask one question: which coordination tax would you remove first: status reporting, cross-team follow-ups, or summary writing?
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真正该讨论的是：How agents are transforming work