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One of the tropes going around is that AI won't replace you, but someone using AI will replace you. Which, like most internet wisdom is hyperbolic and over simplifies a nuanced topic.

What's actually happening is more subtle. AI is condensing the knowledge gap and shifting where the work happens.

You see it in tools like Claude Code where Project Managers (and maybe your CEO) can prototype functionality before handing it to a developer. Maybe it is a developer creating user experience documents for a new feature. The distance between roles is shrinking.

That doesn't eliminate expertise.

You don't know what you don't know, and current AI is good at exposing that (and maybe all your users' data).

A "build me an app that does X" prompt won’t magically design a secure authentication system, understand your customer’s constraints, or balance tradeoffs between stakeholders. It can generate output. It can't supply judgement.

People using AI without understanding fundamentals aren't going to suddenly be replacing senior engineers. It may change what the role looks like as responsibilities shift from coding to facilitating and architecting.

The people who are gaining leverage are the ones treating AI like any other tool in their stack. They give better inputs. They recognize bad outputs. They iterate. They move faster because they understand what they’re building and why.

As AI lowers the floor, the work shifts upward, away from execution alone and toward problem definition, system design, and decision-making.

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