A few days ago I saw a post on Facebook. Someone sharing that he had started learning AI, done some projects, and was now earning from it. I asked him how. He said he got a client through LinkedIn. I asked him to elaborate. He said let's talk.
Seventeen minutes on WhatsApp. That was the whole conversation. But it connected more dots than months of reading about "the opportunity in AI."
The problem with how most people learn AI
AI is a wide field. Machine learning. Deep learning. Model development. Model deployment. Data analysis. Data analytics. Automation. Most people learning AI are aware of all of these — and that awareness becomes the problem. They keep exploring, keep switching, keep adding things to the list. A year passes and they are still learning.
He told me something simple: to stand out and to get clients, you have to focus on one thing.
His one thing is RAG — Retrieval Augmented Generation. Not AI in general. Not even a broad category within AI. One specific thing inside a specific category. That is where all his energy goes.
When you focus on one thing, you stop wondering where the clients are. You start seeing exactly where your work fits — in this business, in that business, for this problem, for that problem. And people approach you.
How he actually gets clients
He does not do outreach. He does not send cold messages. He posts his projects on LinkedIn — specifically, projects related to RAG — and shares them in a realistic and valuable way. GitHub links included. Real detail, not just a screenshot.
People see the work. They visit his profile. They reach out and ask if he can build something similar for them.
That is the entire system.
What the LinkedIn profile does
When someone lands on his post and gets interested, the next thing they do is visit his profile. So the profile has to do its job in seconds. He was clear about this — the headline and the description matter more than most people think. The headline needs to be specific and include the right keywords so he also appears in search results. The description needs to be clear about exactly what he does.
He only connects with people in his niche. Content creators and professionals posting about RAG. Everyone else he ignores. The network stays focused because the work stays focused.
One more thing he mentioned
He also attends learning institutes — physical places where people gather to learn and work together. Because he was already known for one thing, teachers there offered him projects as well. He did not ask. The focus did the work.
He experiments with new things too — AI moves fast and he stays curious. But the core never shifts. RAG is still the center.
What this made clear to me
Everyone says there is a lot of opportunity in AI. A lot of money. A lot of potential. I used to hear that and think — where exactly? I could not see it. I could not point to it.
After this conversation I understood why. The opportunity becomes visible only when the focus is narrow enough. When you know one thing deeply, you start seeing every place it can be applied. Every business that needs it. Every problem it solves. The opportunity was always there. The focus is what makes it visible.
Seventeen minutes. That was all it took.
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