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Build a Career That Looks Like You

CareerAI & LLMsIndustry CommentaryData Engineering

Joe Reis argues that building a resilient career requires developing genuine deep expertise and originality, rather than copying others or following rigid long-term plans. He contends that domain knowledge remains essential even in an AI-dominated world because without it you lack the judgment to evaluate whether AI outputs are useful or garbage. The post encourages starting small, protecting time for focused work, and letting personal perspective shape your craft organically.

Domain expertise is not just a career differentiator — it is the prerequisite for using AI effectively, since only genuine mastery gives you the taste to separate signal from plausible-sounding noise.
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    Without deep domain knowledge and a sense of taste, you lack the context to judge whether AI-generated outputs are generally useful or complete bullshit.

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    AI gives you the illusion of knowledge, much like synthol gives people the illusion of having beefy muscles.

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    True originality develops naturally when you dig deeply into your unique interests and let your personal perspective shape your work.

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    Instead of copying someone else's lifestyle or forcing a rigid twenty-year career plan that's now obsolete, start small.

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    Most career advice is bad, probably including mine. Pick a path. Copy where it works, but don't blindly copy as a general rule. And remember, everyone is making things up as they go.

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