Almost half of UK job seekers now use AI to help with their applications. That is fine, but it means hiring managers see a lot of CVs that read the same. In a Robert Half survey from June 2026, 67% of UK hiring managers said AI-generated applications had slowed hiring down, and 27% said they struggle to tell AI-written CVs from authentic ones.
These are the mistakes that most often cost good candidates an interview, and how to fix them.
1. Letting AI write it for you
Use AI to check grammar or tighten a sentence, not to write your CV from scratch. Polished but generic lines such as "results-driven professional passionate about innovation" are exactly what recruiters skim past. Write it in your own words.
2. Listing tools without evidence
"Python, PyTorch, LangChain, AWS" means little on its own. Show where you used each one, for example: "Built a support chatbot in Python and LangChain, deployed on AWS, handling 500 queries a week."
3. No results
Add numbers wherever you can: accuracy improved, time saved, users served, costs reduced.
4. Sending the same CV everywhere
Tailor the top third of your CV to each role. Reflect the language of the job description honestly, without copying it.
5. Hiding your projects
For AI roles, a GitHub link, live demo or short write-up often says more than a list of modules. Put it near the top.
6. Claiming things you can't explain
Employers are adding extra interviews and checks to verify skills. If it is on your CV, expect to be asked about it in detail.
7. Too long or hard to scan
Two pages is plenty for most people. Use clear headings, short bullet points and a simple layout. Columns, tables and graphics can confuse applicant tracking systems.
8. Missing the basics
Include your location, your right to work in the UK and a professional email address. Then check your spelling, and check it again.
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