AI writing tools are now everywhere, and it is a fair question to ask whether you should point one at your CV. The honest answer is not a simple yes or no. Tools like ChatGPT are genuinely useful for some parts of the job and quietly unhelpful for others, and the difference matters more than the hype on either side suggests. This is a practical look at where AI earns its place, where it lets you down, and how to use it without ending up with a CV that sounds like everyone else's.
What AI is genuinely good at
Used well, an AI tool is a fast, patient assistant. It will not judge you for a clumsy first attempt, and it never gets bored on the tenth revision. The things it does well are real:
- Getting a first draft moving. A blank page is the hardest part. Feeding in your rough notes and asking for a starting structure gets you past the paralysis.
- Rephrasing a bullet that reads awkwardly. If you know what you did but cannot make it sound clear, AI is good at offering three tighter versions to choose from.
- Spotting jargon and filler. Ask it to flag vague or overused phrases and it will usually find the ones you have stopped noticing.
- Structuring a profile or summary. It can turn a sprawling paragraph into something with a clear shape.
- Tailoring language to a job advert. Paste in the advert and your draft, and it can point out which of the role's priorities you have not addressed yet.
None of that is cheating. It is the same work a careful person does, done faster. The catch is that all of it assumes you are supplying the raw material and staying in charge of the result.
Where AI lets you down
The weaknesses are just as real, and some of them carry a genuine risk.
It will invent achievements and figures
This is the serious one. Ask an AI to make your CV more impressive and it will happily add metrics, results and responsibilities you never mentioned, stated as fact. In the UK, where interviewers probe claims and honesty expectations are high, a fabricated figure is a liability, not a boost. Anything on your CV has to be something you can stand behind in the room. If you did not measure it, AI cannot know it, and you should not let it guess.
It reaches for generic phrasing
AI is trained to produce the most probable next words, which is exactly why its default output sounds like everyone else's. "Results-driven professional with a proven track record" is technically fine and completely forgettable. Recruiters read hundreds of CVs, and increasingly they recognise this house style on sight.
It loses your specifics and your voice
The details that make you a credible candidate, the particular project, the awkward constraint you worked around, the tool only your team used, are the first things to get smoothed away when a model polishes your text. What is left often reads well and says nothing.
It has no judgement about what to leave out
A good CV is as much about what you cut as what you keep. AI does not know that a fifteen-year-old role is diluting your recent, relevant experience, or that a whole section is irrelevant to the job you actually want. It optimises the words in front of it; it does not step back and ask whether they should be there at all.
The "everyone's CV now sounds the same" problem
Because so many people now reach for the same tools with the same prompts, a recognisable style has emerged: over-polished, buzzword-heavy, confident and strangely vague. The irony is that a CV built this way can hurt you. It signals effort without substance, and it blends into a pile of near-identical documents at the exact moment you are trying to stand out. The AI tells that recruiters notice are rarely about grammar; they are about a candidate who has been described in general terms rather than shown in specific ones. If you want to understand which of those worries are real and which are noise, our piece on ATS myths that waste your time is a useful companion.
How to use AI sensibly: assistant, not author
The workable rule is simple. You are the author; AI is the assistant. That means:
- You supply every fact. Roles, dates, tools, outcomes and figures come from you, not from the model's imagination.
- You use it to phrase, not to invent. Ask it to sharpen wording you have written, not to fill gaps you have not.
- You always edit. Treat the output as a rough draft to react to, cutting the generic lines and putting your specifics back in.
- You fact-check everything. Read the final version as if an interviewer is holding it, because one eventually will.
Used this way, AI speeds up the boring parts and leaves the judgement to you. That is a reasonable place to land in 2026.
Why a human second opinion still matters
Even with careful editing, it is very hard to see your own CV clearly. You know too much context, so you forgive the vague lines and miss what a stranger would trip over. A person can tell you what actually lands, what reads as filler, and what is missing entirely, which is judgement no tool reliably provides on its own.
This is where being human-led is the whole point of how we work. A person writes and checks every CV we produce. AI can assist with analysis and drafting, but it never invents facts, and it never has the final say; a human does. If you would like that second opinion on your own CV, you can send it over for a free, human review, or, if you already know it needs a proper rework, our CV Refresh package is built for exactly that.
Common questions
Is it OK to use ChatGPT to write my CV?
Yes, as a helper rather than the author. It is fine to use it to draft, restructure and tighten wording, as long as every fact is yours and you check it. Problems start when you let it decide what you achieved or accept its output without editing.
Can recruiters tell if a CV was written by AI?
Often, yes. Experienced recruiters recognise the tells: over-polished but vague phrasing, stacked buzzwords, and profiles that could describe almost anyone. It is not the AI itself that hurts you, it is a CV that reads as generic and says nothing specific.
Will an AI-written CV pass ATS?
An applicant tracking system does not care whether a human or a tool wrote the words; it cares about structure and content. If the layout is clean and the CV genuinely matches the role, it parses fine. AI does not give you a special advantage or penalty here.