@elliotchen100: The Age of AI Displacement is Here—How Can Ordinary People Survive? (Translation) Over the past two years, following AI news has left many with mixed feelings. On one hand, it's exhilarating: things that used to take days can now be done in minutes. On the other, there's a nagging unease: if I can use these tools, so can my boss and my company—so what am I really worth? D…

X AI KOLs Timeline News

Summary

This translated article introduces Dan Koe's perspective: The most important thing in the AI era is not to worry about being replaced, but to cultivate abilities that don't rely on a single system. By accumulating your own work, audience, and clients, you can enhance your resilience against risks.

The Age of AI Displacement is Here—How Can Ordinary People Survive? (Translation) Over the past two years, following AI news has left many with mixed feelings. On one hand, it's exhilarating: things that used to take days can now be done in minutes. On the other, there's a nagging unease: if I can use these tools, so can my boss and my company—so what am I really worth? This is where Dan Koe's long essay gets interesting. He doesn't frame the issue as "Will AI replace you?" but instead shifts the angle: if an upgrade in a tool makes you worry about losing your livelihood, then what's truly fragile might not be your job, but the fact that you've bet your life on a single bet. **[AI may not immediately take your job, but it will quickly expose your dependencies.]** Many people's sense of security is tied to a familiar set of arrangements: go to school, choose a major, join a company, handle a specific role, wait for a raise, wait for a promotion, wait for a better title. This path isn't useless. It has provided many with cash flow, experience, identity, and a sense of order in life. But the problem is, if you leave this system and suddenly have no idea what you can create on your own, that's a big issue. You realize you can attend many meetings, take on many requests, write many documents, and push things through within the company's processes. But once you're out of that process, you have no portfolio of your own, no readers, no clients, no small sandbox to experiment with repeatedly. This is what Dan Koe calls "wage slavery"—and it stings. It's not saying having a salary is shameful or that working a job is lowly. It's saying: if a person can only derive their value from others giving them a role, tasks, feedback, and validation, then their freedom is extremely limited. **[Escaping wage slavery doesn't mean escaping wages; it means escaping the need to prove yourself only through a company badge.]** Many people naturally react in one of two ways to AI. Some curse it: this thing is destroying the industry, it should stop. Others chase it: learn this tool today, switch to that model tomorrow, bookmark a bunch of prompts, feeling they're at the doorway of the future. But Dan Koe's judgment cuts deeper: tools are not the answer—tools are just amplifiers. If you already think, AI will amplify your thinking. If you already express, AI will amplify your expression. If you already have a sense of project, taste, patience, and iteration ability, AI will make you faster. And the reverse is also true. If you don't know what problem to solve, what's worth doing, or how to make others care about your work, then no matter how powerful the tool, it will only help you produce more content nobody reads, more products nobody uses, and more accounts nobody remembers. **[The most valuable thing in the AI era is not 'knowing how to use AI' but knowing what to use AI for.]** So the solution for ordinary people is not to quit your job and start a business tomorrow, nor to force yourself into a machine that churns out 20 posts a day. A more realistic start is to set aside a small personal space: write an article that truly belongs to you, build a small tool that solves your own problem, publicly document a project from 0 to 1, or organize the lessons from repeatedly stepping on rakes at work into something others can understand. It's okay if it's rough at first. Rough things can at least be seen, get feedback, and be revised. Things that don't exist can never be iterated. This is why I find this article worth reading. It's not peddling panic that 'AI is coming, everyone run.' Instead, it's saying something more down-to-earth: don't let your entire life be priced by just one system. You can work, but don't have only work. You can learn tools, but don't stop at just learning tools. A company can give you opportunities, but you should also gradually grow something that doesn't depend on the company. Code, content, products, accounts—these are essentially leverage that ordinary people can slowly accumulate. They won't make you free immediately, but they give you an extra path. In an era of accelerating change, having an extra path is itself very important. So don't just ask: Will AI replace me? You should also ask: With AI, can I create something of my own faster? Can I make others remember me for my judgment, expression, and work? Can I stop relying solely on a single position, a single company, or a single set of processes to live? This might be what ordinary people truly need to prepare for in the age of AI displacement.
Original Article
View Cached Full Text

Cached at: 06/23/26, 08:03 AM

The Age of AI Great Replacement Has Arrived. How Can Ordinary People Survive? (Translation)

Reading AI news over the past couple of years, many people feel quite conflicted. On one hand, it feels amazing: things that used to take days to do can now be churned out in minutes. On the other hand, there’s a nagging unease: if I can use these tools, so can my boss, and so can the company — then what is my value worth?

What makes Dan Koe’s long-form essay interesting is where he takes this. He doesn’t frame it as “Is AI going to replace you?” Instead, he flips the question: if an upgrade in tools is enough to make you worry about your next meal, then maybe the truly fragile thing isn’t your job — it’s that you’ve bet your entire life on a single bet.

AI may not take your job immediately, but it will quickly expose your dependency.

For many, their sense of security is bound up in a well-worn set of arrangements: go to school, pick a major, join a company, do your bit in a role, wait for a raise, wait for a promotion, wait for a fancier title. This path isn’t useless. It gave many people cash flow, experience, identity, and a sense of order in life.

But here’s the problem: if you leave that system and suddenly realize you don’t know what you can create on your own, you’re in trouble. You find you’re great at running meetings, taking requirements, writing documents, pushing things forward through corporate processes. But once you step out of that flow, you have no body of work, no audience, no clients, no small sandbox to experiment and fail repeatedly.

This is where Dan Koe’s idea of “wage slavery” really stings. It’s not saying getting a salary is shameful, or that having a job is low-class. What it says is: if you can only get your value through someone else giving you a role, a task, feedback, a sense of worth — your freedom is very limited.

Escaping wage slavery isn’t about escaping wages. It’s about escaping the need to prove yourself only with a company badge.

Faced with AI, many people naturally fall into two reactions. One is to curse it: this thing is destroying the industry, hope it doesn’t advance. Another is to chase it: learn this tool today, switch to that model tomorrow, collect a bunch of prompts, feeling like you’re already standing at the door of the future.

But Dan Koe’s take cuts deeper: The tool is not the answer. The tool is just an amplifier. If you already think, AI will amplify your thinking. If you already express, AI will amplify your expression. If you already have a sense of project, taste, patience, and the ability to iterate, AI will make you move faster. And vice versa.

If you don’t already know what problem to solve, what’s worth doing, how to make others care about what you make — then no matter how powerful the tool, it will only help you produce a lot of unseen content, unused products, and forgotten accounts faster.

In the AI era, the most valuable thing isn’t “knowing how to use AI” — it’s knowing what to use AI for.

So the solution for ordinary people isn’t to quit your job and start a business tomorrow, nor to force yourself to become a machine churning out 20 pieces of content a day. A more realistic start is to carve out a small plot of land for yourself: write an article that is truly yours, build a small tool that solves your own problem, publicly document a project from zero to one, or organize the lessons you’ve repeatedly learned at work into something others can understand.

It’s okay if it’s rough at the beginning. Rough things can at least be seen, can get feedback, can be revised. Things that don’t exist can never be iterated.

That’s why I find this essay worth reading. It’s not peddling the fear of “AI is coming, everyone run!” It’s saying something more down-to-earth: don’t hand your entire life over to a single system to price.

You can work, but don’t only have work. You can learn tools, but don’t just stay at learning tools. A company can give you opportunities, but you also need to slowly grow something that doesn’t depend on the company.

Code, content, products, accounts — these are all leverage that ordinary people can slowly accumulate. They won’t make you free overnight, but they will give you one more path.

And in a time of accelerating change, having one more path is itself very important.

So don’t just ask: Will AI replace me? The better question is: With AI, can I create something of my own faster? Can I make people remember me for my judgment, my expression, my work? Can I stop living solely through a certain role, a certain company, a certain process?

This might be the thing ordinary people really need to prepare for in the age of AI’s great replacement.

Similar Articles

@ba_niu80557: https://x.com/ba_niu80557/status/2068751230667755859

X AI KOLs Timeline

The article explores how increasingly powerful AI models eliminate those whose skills can be encoded into prompts, emphasizing that the truly irreplaceable value lies in tacit knowledge, physical-world operations, and interpersonal trust. Through the example of a friend transitioning from a consultant to a hardware integrator, the author illustrates how proactively yielding to AI-replaceable tasks while deepening expertise in areas beyond AI's reach is key to surviving and thriving in the technological wave.

@ba_niu80557: https://x.com/ba_niu80557/status/2071277244287426980

X AI KOLs Timeline

The article deeply analyzes the internal changes Anthropic faces as AI-generated code becomes extremely efficient: the bottleneck shifts from 'writing' to 'verification', traditional management, long-term planning, and effort measurement become ineffective, attention becomes the new scarce resource, and engineers even feel lonely. These phenomena foreshadow the challenges other companies may face in the future.

@hongming731: Alibaba's article on organizational R&D in the AI Native era is well worth reading. It addresses a critical foundational issue: for the past two millennia, organizational structures have been built around human limitations. Humans forget, get tired, misunderstand, and have emotions. The number of people one can stably collaborate with and manage is limited, and information inevitably degrades as it passes between hierarchies...

X AI KOLs Timeline

Alibaba released insights on organizational R&D in the AI Native era, pointing out that traditional organizational structures need to shift from accommodating human limitations to adapting to the efficient execution of AI Agents. The article emphasizes that the core bottleneck of AI transformation lies in outdated information formats; implicit experience must be transformed into AI-understandable infrastructure, while preserving the human role in innovation and cultural building.

@leslieloser_: Had the privilege of meeting @Zhm20220917, the best at AI transformation in Jiangsu, Zhejiang, and Shanghai, for a few hours. Became even more certain about the following --In the AI era, those closer to production who understand the industry will reap huge startup dividends; understanding AI and boundaries is 20%, understanding production and industry is 80% --Small teams refuse inno…

X AI KOLs Timeline

The article shares insights on entrepreneurial dividends in the AI era, emphasizing that understanding industry and production is more critical than mastering AI technology. Companies prioritize actual problem-solving capabilities over the models themselves.

@AYi_AInotes: Say a hot take: In the AI era, the most valuable skill is no longer writing code. Being able to explain code clearly will become increasingly important! Becoming increasingly important! @trq212, a senior engineer on the Anthropic Claude Code team, took less than two years to make his technical articles reach stable...

X AI KOLs Timeline

This article explores the importance of technical writing in the AI era, citing the case of Anthropic employee @trq212 who achieved millions of page views through his 'plant first, harvest later' writing methodology, emphasizing the value of sharing real experiences and maintaining a personal voice.