Common mistakes when using AI to rewrite a resume, and how to avoid each one

Mistake 1: Letting the AI invent experience

The model is asked to make your resume match a posting, so it does. If the posting wants "team leadership" and your bullet says you "worked on a team of five", an unsupervised rewrite will often say you "led a team of five". Small stretches like this accumulate into a resume that describes a slightly different person, and the interview finds the difference within ten minutes.

Fix: only use a tool that shows every change against the original, and reject any change that adds a fact you cannot defend. Treat the AI as a drafting assistant, not an author.

Mistake 2: Pasting in the prompt output without reading it

The most common AI resume mistake is also the simplest: the output is copied straight into the document. The result contains placeholders ("[Company Name]"), a bullet that refers to a project you never mentioned, or an introductory sentence like "Here is your tailored resume" sitting above the header. Recruiters screenshot these.

Fix: read the whole resume once, aloud if possible, before every send. It takes three minutes.

Mistake 3: The AI voice

Unedited AI writing has a recognisable register: "spearheaded", "leveraged", "dynamic", "results-driven", "passionate", "synergy", "in the fast-paced world of". Every bullet starts with a dramatic verb and ends with a sweeping claim. Recruiters have now read thousands of these and skim past them, and some have begun to treat the vocabulary itself as a negative signal.

Fix: swap the dramatic verbs for the plain ones you would use in conversation ("led", "built", "cut", "ran"), delete adjectives, and make sure each bullet ends in something concrete rather than something impressive-sounding.

Mistake 4: Keyword stuffing

Asked to maximise the match, a model will happily add a skills block with 40 terms, repeat the job title four times and work "cross-functional" into every bullet. ATS scores may rise; the resume becomes unreadable, and some ATS tools and all recruiters penalise obvious stuffing.

Fix: each keyword should appear inside a bullet that describes real work, and most should appear once. A skills section of 10 to 15 items, ordered by the posting's priorities, beats 40.

Mistake 5: Losing the formatting

Many AI tools return plain text or Markdown. Pasting that back into a document leaves inconsistent fonts, lost bullet styling, broken section spacing or, worse, a mix of two templates. Others force you into their own template, which may use two columns, icons or text boxes that an ATS cannot parse.

Fix: either use a tool that rewrites the content inside your existing file, keeping your layout, or budget ten minutes after every rewrite to reformat and then check the result with an ATS parser.

Mistake 6: Rewriting everything, every time

If the whole resume is regenerated for each application, the facts drift. The team size is five in one version and six in another; a project is described three different ways; a date shifts. Recruiters at the same company compare versions, and reference checks compare them to reality.

Fix: keep a master resume that you wrote and maintain by hand. Let the AI tailor the headline, summary, skills and top bullets from that master; do not let it regenerate the history.

Mistake 7: Using the same prompt for every job

A generic instruction like "improve my resume" produces a generic result. The value of AI tailoring comes from giving it the specific posting, and ideally something about the company, so that the rewrite reflects what this employer asked for. Without that, you get the AI voice applied to the same content, with no improvement in match.

Fix: always provide the full job description. If the tool does company research, let it; if not, add two lines about what the company does and what the team ships.

Mistake 8: Skipping the ATS check afterwards

AI output looks finished, so people send it without checking. But the rewrite may have introduced a heading the parser does not recognise, dropped a must-have keyword while rephrasing, or produced a PDF with text in a layer the ATS cannot extract.

Fix: run every final version through an ATS resume checker with the posting. Confirm the must-haves are matched, the sections parse and the contact details are read correctly.

A short checklist before you send

• Every claim is true and I can talk about it for two minutes.
• No placeholders, no leftover instructions, no "here is your resume".
• No "spearheaded", "leveraged" or "passionate"; verbs are the ones I would say out loud.
• Each keyword sits inside real work; skills list is under 15 items.
• Layout is my own, single-column, and parses in an ATS checker.
• Facts match the master resume and every previous version sent to this company.
• ATS score against this posting is above 80 with all must-haves matched.