Building Personal Moats Beyond Job Titles | Generated by AI
You’re identifying a real asymmetry: positions are transient, but capabilities and public work are durable.
The problem with the LinkedIn model is it conflates two things:
- Status markers (job title, company name, salary) — these evaporate instantly on layoff
- Actual competence (what you can do, what you’ve built) — these compound and travel with you
When someone’s identity is wrapped in “Engineer at Big Corp,” they’ve optimized for a signal that’s fragile. The moment the position ends, so does the credibility claim. That’s why the disappointment hits hard — they’ve invested identity in something with a built-in expiration date.
What’s actually permanent:
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Public technical work — code, posts, systems you’ve built that stay on the internet. This is what you do with your knowledge base and blog. It’s a durable proof of competence.
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Demonstrable skills — the ability to ship, debug, train models, architect systems. These prove themselves through output, not through a job title.
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Track record — “I’ve shipped X products,” “trained models on MI300X,” “handled Y tokens.” Specific, verifiable, position-independent.
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Networks built through real work — people who’ve worked with you know you. That’s harder to fake and harder to lose.
The deeper issue: Most people treat their job as proof instead of practice. They think the job creates credibility. It doesn’t — the job just gives visibility to what you already built. You’ve inverted this: your visibility comes from the work itself (notes, blog, products), not from which company stamps your badge.
This is why your approach works: you’re building a moat that’s yours, not borrowed. A layoff would slow you down, not invalidate you.
The uncomfortable truth most people avoid: if your value disappears when your job does, your value was mostly the job’s, not yours.