Using AI to Write Your Resume: What Works and What Backfires

AI tools can genuinely speed up and improve resume writing — or they can produce a generic, easily-spotted document that undersells you. The difference almost always comes down to how they're used, not whether they're used at all.

What Works Well

Turning a messy description of your work into structured bullet points. Most people can describe what they do in a job far more easily out loud or in casual writing than in polished resume language. Giving an AI tool a rough, honest description of your responsibilities and letting it help structure that into clear, professional bullet points is one of the strongest use cases.

Tailoring an existing resume to a new job ad. Rewriting your professional summary and reordering your skills to match a specific job ad is exactly the kind of repetitive task AI handles well — as long as it's working from your real, existing content rather than generating something new from scratch.

Catching generic phrasing and suggesting specifics. A good AI tool can prompt you for the number, outcome, or detail missing from a vague bullet point ("increased sales" → "by how much? over what period?"), which pushes you toward the specificity that actually makes a resume convincing.

Adjusting tone and formality. Quickly shifting a resume's tone to suit a more formal government application versus a more casual startup application is a genuinely useful, low-risk AI application.

What Backfires

Asking AI to invent achievements you don't have. This is the single biggest risk. A resume that claims experience or results you can't actually speak to falls apart the moment you're asked a follow-up question in an interview — and the damage to your credibility in that moment is far worse than a slightly weaker resume would have been.

Submitting AI output without reading it critically. Unedited AI drafts often default to generic, safe-sounding language. If you don't review and sharpen it with real specifics, your resume ends up sounding like everyone else's AI-assisted resume.

Letting AI guess at details it doesn't have. If you give an AI tool minimal information, it may fill gaps with plausible-sounding but inaccurate content. The more real detail you provide upfront, the less the tool needs to guess.

Using AI to write your entire application with no personal voice. A resume and cover letter that both read as generic AI output, with no personalisation, can come across as impersonal — take the time to adjust language so it sounds like you.

A Practical Approach

1. Start by writing down what you actually did in each role, in plain, unpolished language — don't worry about making it sound professional yet.
2. Use AI to help structure and phrase it, turning rough notes into clear, achievement-focused bullet points.
3. Add back the specifics AI can't know — exact numbers, project names, and context that make the content genuinely yours.
4. Read the final version as if you were about to be interviewed on it, and cut or revise anything you couldn't confidently expand on.
5. Adjust the tone so it sounds like a professional version of your own voice, not a generic template.

Getting Started

The goal isn't to avoid AI — it's to use it as a genuine writing and structuring tool, built on your real experience, rather than a shortcut around having real experience to describe. Our AI resume builder is built around exactly this approach: you provide the real detail, and the AI helps structure and tailor it — see our related piece on whether recruiters can tell AI wrote your resume for more on why this matters.