AI raises your floor, but motivation determines your ceiling
*▲ AI raises your floor, but you always decide how high your ceiling is. *
Yesterday I watched a video with a sensational title - <I hate that this is true> (I hate that this is true).
Before clicking on it, I thought it was another video that badmouthed AI. After reading it, I discovered that what the author hates is not AI, but a fact that he has to admit: **AI has indeed made those originally weak engineers less lethal. **
This conclusion sounds like praising AI, but its real cruelty lies in the second half. What I thought of while reading was not just engineers at all - but everyone who now relies on content and expertise for a living, including you and me who are reading this article.
Let’s first talk about the speaker of this video
The author of this video is Theo Browne, and more people on the Internet call him t3.gg.
He is a very important opinion leader in the European and American front-end circles. In his early years, he worked as an engineer at Twitch, and later started his own business. He worked on the live broadcast collaboration tool Ping, received investment from Y Combinator, and also T3 The author of stack (a popular full-end development framework) is now operating an AI product T3 Chat.
The reason why I introduce his background in particular is because the weight of this video has a lot to do with who is talking about it. Theo is not someone who comments from the shore - he writes programs in AI every day, has led an engineering team for ten years, and has interviewed people of all levels. What he talked about was not a theory, but what he saw on the real battlefield. This also echoes a very important concept in the film, which we will talk about later: proof is more important than the idea itself. **
If you don’t reject English, I highly recommend spending forty minutes to read it in its entirety:
The first important point: AI raises the floor, not the ceiling
Theo quoted an article titled 〈AI makes weak engineers less harmful〉 (AI makes weak engineers less harmful).
His observation is this: In the past, a very weak engineer would hand over something that could not run at all and would cause problems as soon as it was put online. But now with AI, the worst he can do is hand over a standard AI output - something wrong in some places, inexplicable in some places, but at least it can run line by line, and it won’t be stupid enough for a layman to see through it at a glance.
In other words, **AI does not make the top people become gods. What it does is lift the bottom line up. **
In this matter, if you replace engineers with any major, the logic will be the same.
A person who couldn’t write copy before would write terrible things; now if he throws it to AI, he can at least produce a post with a complete structure and readability. In the past, a person who couldn’t draw couldn’t hand over anything; now he can produce a design that looks good with just a few prompt words. People who didn’t know how to edit videos, make presentations, or write plans before can now produce a passing version.
Well, that’s what it means when the floor is raised. In Taiwan, you can just open Threads or Facebook and feel this wave—suddenly, everyone can produce professional-looking content. **
For many people, this is good news. But if you make a living by knowing something better than others, this is actually a very alarming sign. Because when the floor was raised, the little height that was originally on the floor was instantly smoothed.
The second important point: What really widens the gap is motivation, not tools.
What struck me most in the video was when he said that two people who were both novices, relied heavily on AI, and whose output increased because of AI, would end up going in completely opposite directions:
- A person who treats AI as an infinite learning machine. When you encounter something you don’t understand, ask why. Cut out a picture you don’t understand and throw it to the AI to ask until you understand. The growth curve of this kind of person will bend directly upward, and he may reach a height in a few years that took ten years in the past.
- Another kind of person uses AI as an excuse not to learn. Anyway, it will happen, I just copy, paste, and cross it. The growth curve of such a person will be flattened immediately - he will always stop on the line where he can cross, and never move up again.
Theo said something I like very much: The difference is not in the AI, but in whether the person wants to grow? And in this matter, it is difficult for you to change a person from the outside. **
He shared a very vivid counterexample in the video. He had a former colleague with the title of “Chief Engineer” on his resume. He worked for eight years, but could not even embed a video into the blog correctly - converting the 4K video into a GIF of more than 200 MB, and the entire page required nearly 1GB. It took two weeks of back and forth and it was still a mess. Theo asked half-jokingly: Do you think today’s AI will be better than this engineer who has been working for eight years?
The answer is self-evident. And this is the cruel part: years of experience never equal ability. ** The reason why that engineer has been able to last so long is just because there was a shortage of people in this industry in the past, and there were jobs even if they were not good enough.
This is especially true in Taiwan’s workplace. We are very accustomed to measuring a person by his working experience, but in the coming era, the protection that seniority can offer you will become less and less. Theo put it very bluntly: **Next, the life of about 30% of workers at the bottom will become very difficult. **
If you change to a content creator, the logic is exactly the same.
The reason why I want to write this article is because this framework can be completely transferred to content creation.
In the past year, I have heard too many people say: “AI can write, so what else should I write?” “Now everyone uses AI to generate content, and there is no differentiation at all.”
I understand the anxiety. But Theo’s video reminded me - **Whether you will be replaced never depends on whether AI can do what you do, but on whether you are willing to go one step deeper than AI. **
Creators who use AI as an excuse not to study will fall into a very typical trap: they use AI to generate correct but boring content one after another, because they themselves don’t understand the topic, so they just throw out prompt words and post the results back. Readers can smell the smell of AI at a glance—smooth, without point of view, without body temperature.
The creator who treats AI as an infinite learning machine does the exact opposite: he uses AI to accelerate research, quickly understand an unfamiliar field, throw in verbatim drafts of more than a dozen articles and several videos, forcing himself to develop real opinions in a shorter period of time, and then speak them out in his own voice. AI helped him reduce the time for research and drafting from eight hours to one hour. He used the seven hours saved to think about “what do I want to say and how is it different from others?”
This is why I always emphasize to students: The content moat in the AI era is not whether you can use the tools, but whether you have proofs and opinions that only you can give. ** This is exactly in line with the concept of proof in Theo’s video - when everyone can produce something that looks professional, what is really scarce is the person behind it who has flesh and blood and real experience. I also talked about the same trend line in this article “Prompt words will expire, you won’t”: When execution is wiped out by technology, scarcity will run upstream, to where questions, tastes and your voice point back to you.
My opinion: Don’t fight for the floor, fight for the ceiling
To be honest, after watching this video, I felt a little mixed.
On the one hand, I’m very excited because it confirms what I’ve been doing for the past two years – using AI as a lever to amplify one person’s output to the size of a team in the past. But on the other hand, it also reminds me: after the floor is raised, everyone is on the same starting line. The real competition is at the ceiling. **
There is no shortcut to the ceiling. It is not a more powerful tool or a more magical set of prompt words, but a very simple thing: **Do you still want to learn, are you willing to think one step more than others? **
Theo gave a very practical suggestion at the end of the video - write a learning diary every day and record what you learned today; if you find a blank before going to bed, fill it in before going to bed. If you can watch this kind of video and take the time to think about it, you are actually better than the average.
All that’s left is don’t stop.
If you also want to use AI on the ceiling
Having talked about so many motivations and viewpoints, you may ask: How to do it specifically?
I took this method of using AI acceleration but using the time saved to gain long-term views, and made it into a practical workshop - AI content production system workshop.
This is not something superficial like teaching you how to ask AI to generate a post. We will use Claude Code to build a complete five-layer content production architecture, allowing you to automatically produce content in six different formats with one piece of material - but the premise is that this system amplifies your point of view, not the average of AI. Three hours of practice, small class size limited to 16 people.
If you are tired of being an AI copy-paste worker and want to truly turn AI into your infinite learning machine and output lever, welcome to sign up for this workshop and push your ceiling upwards.
It’s true that AI raises your floor. But it’s always up to you to decide how high the ceiling is.
