AI自动化浪潮下，人类专家价值反而凸显？

Every 公司 CEO Dan Shipper 发表长文《After Automation》，提出一个看似矛盾的观点：AI 自动化程度越高，对人类专业能力的需求反而越强烈。他以公司规模从 4 人扩张至 30 人的实例说明——AI 让"过去的专业技能"变得普及，人人皆可产出"大致合格"的成果，但这也引发了对真正专家的强烈渴求：谁来确保品质？谁来决定价值所在？关键在于：持续跟进技术更新，你就能立于不败之地。

假设你经营一家烘焙坊。过去只有资深师傅能制作可颂，单价 30 元。如今有了 AI 这一高效揉面设备，人人都能做出"外观相似"的可颂，价格瞬间跌至 3 元。然而问题随之而来——这些可颂口感雷同，还常常半生不熟。消费者开始疑惑："究竟哪家的才是真正美味？"

结果，资深师傅变得更抢手：他们需要制定工艺标准、检验成品质量、开发创新口味（以前根本无法实现的）。自动化并未削弱专家地位，而是将他们的职责从"制作面包"转向"定义优质面包的标准"。

Dan 的核心观点可归纳为三点： 1. AI 将"过往的专业技能"转化为低价商品——编程、写作、设计，基础提示即可产出 70 分水准的作品 2. 然而 70 分作品泛滥后，真正稀缺的是"辨别能力"——什么才是正确的？什么才是当前真正需要的？ 3. AI 始终是回顾性工具，它会问你"接下来做什么？"——因为它缺乏主观能动性，所有经济与技术驱动力都在促使它更顺从

这正是 Every 全体成员使用 AI，团队却从 4 人增至 30 人的原因。自动化创造的是新的工作机会，而非终结它们。

AI makes yesterday's expert competence cheap. And when you do that, expert competence is available for cheap, it gets really widely adopted. So everyone starts to do it.

AI 让"昨天的专业能力"变得廉价。当专业能力人人可得，它就会被广泛采用，人人都开始做以前只有专家才能做的事。

📎 Dan Shipper · AI & I Podcast · 2026-05-27 · 查看原文[1]

The further away an agent gets from a human, the less valuable it is. The human connection with an agent to actually do the work is the most important thing for making it work well.

Agent 离人越远，价值越低。人与 Agent 的协作连接，才是让它真正发挥价值的关键。

📎 Dan Shipper · AI & I Podcast · 2026-05-27 · 查看原文[2]

Prompt AI to do something. It blows your mind. You feel inadequate. You feel like, oh my god. This thing's gonna take my job. And then it stops working, it looks back at you and says, what should I do next?

你让 AI 做件事，它让你惊掉下巴。你觉得自己要被取代了。然后它停了下来，回头看着你说：接下来该干嘛？

📎 Dan Shipper · AI & I Podcast · 2026-05-27 · 查看原文[3]

Agent means something that acts on behalf of someone else. They're getting very good at being autonomous... but that is very different from having agency, which is what even the smallest child has.

Agent 指的是"替别人做事的角色"。它们越来越擅长自主执行任务……但这和"有主体意愿"完全不同——连最小的孩子都有主体意愿。

📎 Dan Shipper · AI & I Podcast · 2026-05-27 · 查看原文[4]

If you just ride the models, if you just, when new models come out, learn to use them for the stuff that you do, whatever that is, you're going to be fine.

只要紧跟模型——每次新模型出来，就学着用它做你正在做的事，不管是什么——你就会没事的。

📎 Dan Shipper · AI & I Podcast · 2026-05-27 · 查看原文[5]

There's some really interesting stories there about companies that they jump on the AI bandwagon, they're like automating everything. They fire a bunch of their customer service people. And then, like, two months later, they're like, oops. Sorry. Like, can you come back?

Reddit 上有很多真实故事：公司一窝蜂上 AI 自动化，裁掉客服团队，结果两个月后就说"呃，抱歉，能回来吗？"

📎 Dan Shipper · AI & I Podcast · 2026-05-27 · 查看原文[6]

参考链接

[1] 查看原文: https://www.youtube.com/watch?v=dCmOTURRf1Y

[2] 查看原文: https://www.youtube.com/watch?v=dCmOTURRf1Y

[3] 查看原文: https://www.youtube.com/watch?v=dCmOTURRf1Y

[4] 查看原文: https://www.youtube.com/watch?v=dCmOTURRf1Y

[5] 查看原文: https://www.youtube.com/watch?v=dCmOTURRf1Y

[6] 查看原文: https://www.youtube.com/watch?v=dCmOTURRf1Y