2026-03-12
|5 min read
|AI & Technology
What Recruiters Think About AI-Generated CVs
What do recruiters really think about AI-generated CVs? Their answers might surprise you. Here is what matters and how to use AI without raising red flags.
Recruiters are not anti-AI, they are anti-lazy
Most recruiters do not have a blanket objection to AI-assisted CVs. They use AI themselves for sourcing candidates and writing job descriptions. What bothers them is not the use of AI but the lack of effort it sometimes represents. When a CV is clearly a raw AI output with no personalization, it signals that the candidate did not care enough.
Recruiters consistently say they can tell when a CV was generated by AI and left unedited. The summary is vague and could apply to anyone. The bullet points all follow the same sentence structure. The language is polished but lacks specific details. One recruiter described it as "technically perfect and completely forgettable."
What recruiters actually look for in a CV
Recruiters consistently mention specificity. They want concrete numbers, named technologies, and clear descriptions of what you personally contributed versus what the team did. "Increased user engagement by 35 percent by redesigning the onboarding flow" tells a story. "Drove significant improvements in key performance metrics" tells them nothing.
Recruiters also care about relevance. They want to see that you read the job description and adjusted your application accordingly. Using AI to tailor your CV to each role, highlighting relevant experience and incorporating language from the posting, is exactly the kind of optimization that makes a recruiter's job easier.
The red flags that get AI CVs rejected
Overuse of buzzwords is the most common red flag. When every bullet includes "spearheaded," "leveraged," and "synergized," it reads as generated rather than genuine. Another red flag is inconsistency between the CV and the interview. If your CV describes you as having "architected enterprise-scale solutions" but you cannot speak about system design confidently, the disconnect is obvious.
Length is another issue. AI tends to be verbose. A three-page document full of generic accomplishments is worse than a tight one-page CV with five or six strong bullet points. The best candidates edit ruthlessly.
How to use AI in a way recruiters respect
All the recruiters agree: AI is a legitimate tool, and using it well is actually a positive signal. The difference between good and bad AI-assisted CVs comes down to how much of yourself you put into the final product. Use AI to generate structure and improve phrasing, but fill it with your own stories, numbers, and voice.
A practical workflow: write your own raw content first, even if it is messy. Use AI to polish the language and optimize for the specific role. Then read every line and ask: could someone else have written this, or is this uniquely mine? If a bullet point could appear on any CV, rewrite it with more detail.
Put these ideas into practice
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