AI人工智慧消失的不是完成工作本身，而是協調性管理的工作

AI人工智慧消失的不是完成工作本身，而是協調性管理的工作。

消失的限制因素，卻無人察覺

昨天，我告訴過你們，人工智慧並不會讓工作變得輕鬆——它只是讓你在執行過程中無需費力就能展現自身真正的價值，而不會被執行過程中的摩擦所掩蓋。今天，我要向你們展示經濟中剛消失的限制因素，以及為什麼幾乎無人察覺。

消失的限制因素

大多數人忽略了這個轉變的這一點：

過去，執行工作需要大量的輔助性工作。像寫書這樣的創意工作，其真正的價值在於寫作本身——而非圍繞寫作的種種協調工作，但這些協調工作對於執行至關重要，因為它們必不可少。

你原本有兩項工作：完成工作和管理工作。而消失的，正是第二項工作。

The constraint that disappeared and nobody noticed

Yesterday, I told you AI doesn’t make work effortless — it just exposes what you’re actually worth without execution friction hiding your judgment. Today, I’m going to show you what constraint just vanished from the economy, and why almost nobody has noticed yet.

The Constraint That Disappeared
Most people miss this about the shift:

Execution used to require massive amounts of ancillary work. Creative work like writing a book delivers its real value in the writing itself — not all the coordination overhead that surrounds it, but that overhead becomes critical to execution because it has to be done.

You have two jobs: doing the work and managing the work. What just disappeared is the second job.

Photo: 灰塵小小小亨利1965小一作業_田裏

昨天我說過，人工智慧並不會讓工作變得輕鬆——它只是讓你在執行過程中無需費力就能展現出你的真正價值，而不會掩蓋你的判斷力。今天，我要向你展示經濟中剛消失的某種限制因素，以及為什麼幾乎沒有人注意到這一點。

消失的約束
大多數人忽略了轉變的這一點：

過去，執行工作需要大量的輔助工作。像寫書這樣的創意工作，其真正的價值在於寫作本身，而非圍繞著寫作的種種協調工作。然而，這些協調工作對於最終的執行至關重要，因為它們必不可少。

你有兩個工作：完成工作和管理工作。現在消失的是第二個工作。

什麼是協調開銷？

協調成本是指從你的決策到最終結果之間所有阻礙：

_管理草稿和追蹤修改

_與團隊成員協調
_文件格式化和組織

_調度回饋迴路
_工具之間的上下文切換

_所有那些感覺像工作但實際上並非實際工作的流程管理工作

轉變在於：人工智慧不會加快執行速度，而是完全消除協調開銷，從而將生命週期從數月縮短到數分鐘。

具體例子：

_寫書：寫作本身固然重要，但你還得管理草稿、與編輯協調、排版章節、追蹤修改進度、安排回饋流程。所有這些繁瑣的工作都消失了。

_程式碼部署：傳統工作流程需要開啟編輯器、從 AI 複製、貼上、測試、提交、推送和部署，僅為了修復一行程式碼。

_新工作流程： “在生產環境中修復這行程式碼。” 完成。

_網站更新：傳統工作流程需要開啟設計工具、實作變更、匯出資源、上傳檔案和測試。
_新工作流程： “根據此文案更新設計。” 完成。

協調方面的開銷——所有上下文切換、流程管理、工具切換——都消失了。

無摩擦 vs. 毫不費力

人們常常把無摩擦誤認為毫不費力，這是錯誤的。

這並非易事，因為它仍然需要思考、知識綜合以及我們在上一封郵件中討論的所有內容。

某件事沒有摩擦並不意味著它毫不費力——努力的分配發生了變化，它被推向了上游而不是下游，並集中在流程的最初階段，也就是真正思考發生的地方，而不是分散在無休止的協調任務中。下游的努力（協調、管理、執行）消失了，而上游的努力（思考、綜合、決策）則佔據了主導地位。

為什麼這並非10%的生產力提升

迷思：這能提高10%的生產力

事實是：這是勞動市場運作方式的根本性崩壞。

當執行能力從昂貴且稀缺變為基本免費且無限時，任何意識到這一點的人都會以其他人無法匹敵的速度和能力運作，因為以舊方式工作的人根本無法跟上。

如果你有一個能創造價值的想法，這個想法可以在幾分鐘或幾小時內實現，而不是幾個月或幾個季度。認識到這一點的人會獲得倍增效應，使他們在曾經稀缺且有價值的技能正在變成普通技能的世界中變得稀缺且有價值。

這不是漸進式的改進，而是指數級的優勢。

為什麼大多數人都錯過了這一點

大多數人（甚至包括人工智慧專家）忽略這一點主要有兩個原因。

首先：他們不了解人工智慧作為一個系統，認為它只是一個更好的聊天機器人，而不是一個可以消除整個工作類別的基礎設施。
第二：這種工作方式沒有先例，所以他們的大腦無法處理。

心理障礙：我們習慣將努力與進步聯繫起來，所以當協調成本消失時，我們「感覺」不到工作已經發生。

只有親身經歷過，才能做出這種調整。因為除非親眼所見或親身經歷，否則聽起來就像胡說八道，根本不可能實現。但人們需要做出的轉變是顯而易見的：

不要再想“我們今天能做什麼”，而要開始思考“我們如何才能在未來生活，但今天就行動起來”。

停止使用 AI 封裝器優化目前的工作流程，開始建立徹底消除工作流程範式的系統。

這不會在 5-10 年內發生，因為限制因素已經消失了——只是大多數人還沒有註意到。

這對你意味著什麼

如果你還在追求協調效率的最佳化，那你玩錯遊戲了，因為遊戲規則已經改變，協調開銷不再是瓶頸。

這就引出了我們明天要討論的問題：如果協調成本消失了，那麼唯一重要的是什麼呢？

提示：這不是執行速度、快速工程或獲得更好的 AI 模型的問題——而是大多數人沒有培養的技能，因為直到現在，他們都不需要培養這種技能。

明天繼續。

——斯里尼瓦斯

PS：如果你也經歷過這種轉變——原本需要幾週才能完成的事情，幾個小時就搞定了——請回覆告訴我你做了什麼。我很想聽聽。

What Is Coordination Overhead?

Coordination overhead is everything that sits between your decision and the outcome:

_Managing drafts and tracking revisions
_Coordinating with team members
_Formatting and file organization
_Scheduling feedback loops
_Context switching between tools
_All the process management that feels like work but isn’t the actual work

The shift: AI doesn’t make execution faster — it eliminates coordination overhead entirely, which collapses the lifecycle from months to minutes.

Concrete examples:

Book writing: The writing is the value, but you also have to manage drafts, coordinate with editors, format chapters, track revisions, and schedule feedback loops. All of that overhead just disappeared.

Code deployment: Traditional workflow requires opening an editor, copying from AI, pasting, testing, committing, pushing, and deploying just to fix one line of code. New workflow: “Fix this line in production." Done.

Website updates: Traditional workflow requires opening design tools, implementing changes, exporting assets, uploading files, and testing. New workflow: “Update design based on this copy." Done.

The coordination overhead — all the context switching, process management, tool juggling — just disappeared.

Frictionless vs. Effortless

People get this wrong when they mistake frictionless for effortless.

This isn’t effortless because it still requires thinking, knowledge synthesis, and everything we talked about in the last email.

Just because something is frictionless doesn’t mean it’s effortless — the distribution of effort changes by getting pushed upstream instead of downstream and concentrated at the beginning of the process where genuine thinking happens, not scattered across endless coordination tasks. Downstream effort (coordination, management, implementation) disappears while upstream effort (thinking, synthesis, decision-making) becomes everything.

Why This Isn’t a 10% Productivity Boost
Myth: This is a 10% productivity boost

Reality: This is a fundamental collapse of how labor markets work.

When execution capacity goes from expensive and scarce to basically free and unlimited, anyone who recognizes it operates at a speed and capacity others can’t rival because there’s no way someone working the old way can keep up.

If you have an idea that creates value, that idea can be brought to life in minutes or hours instead of months or quarters, and people who recognize this get a force multiplier that makes them rare and valuable in a world where the skills that used to be rare and valuable are becoming commodity skills.

This isn’t incremental improvement — it’s exponential advantage.

Why Most People Are Missing This

There are two main reasons that most people (even AI experts) miss this.

First: They don’t understand AI as a system and think it’s a better chatbot instead of infrastructure that eliminates entire categories of work.

Second: There’s no precedent for this way of working, so their brains can’t process it.

The psychological barrier: we’re conditioned to associate effort with progress, so when coordination overhead disappears, it doesn’t “feel" like work happened.

You can’t make this adjustment until you’ve experienced it because until you’ve either seen it happen or experienced it yourself, it sounds like bullshit and there’s no way this seems possible. But the shift people need to make is clear:

Stop thinking “what can we do today" and start thinking “how do we live in the future but do it today."

Stop optimizing current workflows with AI wrappers and start building systems that eliminate the workflow paradigm entirely.

This isn’t coming in 5-10 years because the constraint already disappeared — most people just haven’t noticed.

What This Means for You

If you’re still optimizing for coordination efficiency, you’re playing the wrong game because the game changed and coordination overhead is no longer the bottleneck.

This brings us to tomorrow’s question: If coordination overhead disappeared, what becomes the only thing that matters?

Hint: It’s not execution speed, prompt engineering, or have access to better AI models — it’s something most people haven’t developed as a skill because until now, they didn’t have to.

More tomorrow.

—Srinivas

P.S. If you’ve experienced this shift — where something that should have taken weeks took hours — hit reply and tell me what you built. I want to hear about it.