Lucas@LucasQin77
A question has stayed with me for years:
When generic AI becomes capable of every kind of intellectual work humans do, what's left for human value?
Where does competitive advantage come from?
I think I found the answer this year. Two things made it click.
First, the stock market.
I'm in the top 5% of US equity returns.
Trading is one of the cleanest experiments you can run, because everyone has access to the same tools: same charts, same news, same models.
Today most traders use ChatGPT or Claude to research positions. Ten years from now, every trader will. And yet — the market will still have a top 5% and a bottom 20%.
Same AI, same data, same access. Different outcomes.
Why?
Because the same model gives different work to different people.
The questions you ask, the angles you pursue, the patterns you notice: these are downstream of your mental model.
The top 5% and the bottom 20% use the same tools differently, because they think differently. Mental model in, work out.
Second, OpenClaw.
When Skills started spreading this year as a real format, it hit me — a mental model isn't an abstract thing. It can be packaged.
The way a top-5% trader actually thinks through a position — the questions they ask, the order they ask them in, the things they refuse to ignore — all of that can be written down as a Skill. And once it's a Skill, anyone can run it.
Which means: a top-5% trader's mental model, packaged as a Skill, run by someone in the bottom 20%, doesn't just give that person a tool. It gives them a different mind for the duration of the work.
This isn't only true for trading. Every field has its top 5% and its long tail. Every one of us is in the top 5% of something, and the bottom 20% of many other things.
Which means every one of us has a Skill worth packaging — and a thousand others worth running.
That's the moat I think AI leaves us with.
Not the work itself : the AI will do that.
The packaged way you do the work, the difference between your output and the average — that's the part that compounds, that earns, that lasts.
Capafy is built on this idea. You package your edge as a Skill.
When someone runs it, we spin up an isolated sandbox just for that run — your Skill executes inside, the user gets the output, but the Skill itself never leaves the sandbox.
Closed-source online. Your method never leaves you. Every use pays you.
In ten years, the question won't be "do you use AI." Everyone will.
The question will be: Whose Skill is loaded into your AI.
Maybe it comes from your own coding experience.
Maybe it comes from years of industry expertise.
Maybe it even comes from a top 5% US equity trader.
That's the moat.
