AI Layoffs Aren't About AI
嗯,用户让我总结一下这篇文章的内容,控制在100字以内,而且不需要用“文章内容总结”之类的开头。我先看看这篇文章讲的是什么。 文章主要讨论了AI裁员的现象。作者认为公司不再愿意为表现一般的90%员工支付高薪,而是更倾向于投资于顶尖的10%员工,并为他们提供更好的工具。AI虽然目前还无法完全取代顶尖员工,但已经足够取代中低层员工的工作。这样,顶尖员工可以借助AI提高效率,承担更多的工作量。因此,公司选择裁员,只保留顶尖人才。 接下来,我需要把重点提炼出来:AI裁员、公司策略、顶尖员工的重要性、以及个人应对的方法。用户可能想快速了解文章的核心观点,所以总结要简洁明了。 然后,我要确保语言流畅,不超过100字,并且直接描述内容,不使用开头套话。这样用户就能迅速抓住关键点。 </think> 文章指出,公司不再愿意为表现平庸的90%员工支付高昂成本,而是更倾向于投资顶尖的10%员工并借助AI提升其效率。AI尚未能取代顶尖人才,但已足够替代中低层员工的工作。因此,公司选择裁员并依赖少数精英完成更多任务。 2026-4-27 01:39:0 Author: danielmiessler.com(查看原文) 阅读量:38 收藏

Companies don't want to pay millions for the bottom 90% anymore — they'd rather hand the top 10% better tools

April 26, 2026

A single figure at a peak with tendrils of light extending outward, faint silhouettes dissolving below

Let me try to explain these AI layoffs.

The issue is the vast difference in quality of employee between the top 10% and everyone else. AI can't come anywhere close (today) to replacing the top performers at a big company.

But they're spending millions a year on tens of thousands of employees in the bottom 75% of the quality scale. And AI is now getting good enough to replace THEM. Not directly, yet, but by having top performers do more of their work with AI.

So it's not that AI is better than top performers. It's not.

The issue is 90% of employees aren't in the top 10%. And companies no longer want to pay millions a year for mediocre employees. They'd rather fire everyone but the best, and have them become 10 or 100x what they were by wielding AI.

This is why you see some people thriving right now and most people are panicking. It's because most people are in the 90% that companies no longer want.

The solution is to become one of the top 10% type people that companies still desperately need. Or to do your own thing once you get there because you no longer need a company.

But this explains why some are thriving right now while most aren't. It's less about AI and more about the difference between top performers and everyone else.

The point in calling this out is to 1) explain something that we're seeing mixed signals on in the news. Are people thriving or getting screwed by all this AI stuff? And 2) to provide a solution, which is to move to a more HUMAN/Individual frame instead of a Corporate one.

To become resistant to the whims of corporations deciding they don't need us. Because we can thrive by doing our own thing, and sharing value with others doing the same. 💪🏼


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