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Why AI made resumes sound the same

The sameness problem, plainly stated.

The sameness problem

AI made everyone sound polished. Proof is what still separates you.

Until recently, a well-written resume was itself a signal. Clear structure, strong verbs and quantified lines took effort, and effort was scarce enough to be informative. Writing quality stood in for care, competence and communication skill.

Generative writing removed that scarcity. The same phrasing advice is now applied to nearly every application, from the same tools, trained on the same examples. The result is convergence: strong bullets everywhere, and therefore strong bullets signalling nothing. When every candidate reads well, reading well stops separating candidates.

This is why optimizing wording harder is a losing move. A better-worded claim competes in exactly the dimension that has been commoditized. Rewriting is cheap for you, which means it is cheap for everyone you are being compared against.

What has not been commoditized is evidence. Anyone can write "led a team through a difficult launch." Far fewer can show the moment, in their own voice, with specifics that only the person who lived it would know. The scarce thing moved from the sentence to what stands behind it.

So the practical question changed. It is no longer "how do I say this better?" It is "can a reader tell this is true?" A resume can still carry the claim — it is the document hiring systems accept. But the claim needs something attached to it that travels with it.

See what a Visume would prove about you

No account needed. One question, and you get a read-out of what a hiring manager can and cannot currently see.