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Using AI to tailor resumes and cover letters, what it does well, where it fails, and how recruiters treat AI-generated applications.

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AI has changed how people apply for jobs: resumes, cover letters, and interview answers can now be drafted in minutes. Used carelessly, that speed produces generic applications that read like everyone else's; used well, it saves hours without flattening your voice or inventing history.

The coverage here is practical and sceptical in equal measure. It looks at where AI tailoring genuinely helps — restructuring bullets, mirroring posting language you can honestly claim — and where it fails, from fabricated metrics that unravel in interviews to cover letters a recruiter recognises on sight.

The through-line across every article: AI drafts and suggests, you verify and decide. Anything a tool writes about your career becomes your statement the moment you submit it, so treat generated text as raw material rather than finished output.

A useful test before you send anything a tool helped write: could you explain every line of it out loud, with an example, to the person who will interview you? If a sentence fails that test, rewrite it or cut it, however polished it sounds on the page.

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