When Machines Write and Machines Read
Not long ago, a CV was written by a person and read by a person. Today the picture is changing fast. Job seekers use AI tools to draft, polish and tailor their CVs in minutes. At the same time, many employers use software to sort through the flood of applications that follows.
That raises a question every HR professional and job seeker should be asking: what if AI prefers AI-written CVs?
If it does, hiring could slowly turn into a contest between writing tools rather than a search for real talent. For a continent with a large and growing youth population looking for work, getting this right matters.
Why This Question Is Not Far-Fetched
AI models are trained on huge amounts of text. When they judge writing, they may lean toward text that matches the patterns they know best, including text produced by AI. Researchers have started to study this, often called self-preference bias. Early findings suggest the effect can appear in some settings, but the research is still young and results differ between tools. It would be wrong to say that all screening software behaves this way.
Even so, the risk deserves attention. Consider how CV screening tools generally work: they look for keywords, clear structure and confident phrasing. AI-written CVs are very good at all three. That can make them look strong on paper whether or not the person behind them is.
What This Could Mean for Fresh Graduates
The Polish Trap
If screening tools reward smooth, formulaic language, a graduate who writes honestly in plain English may look weaker than one who pastes in AI-generated text. Yet the plain CV may belong to the better candidate.
The Access Gap
Not every graduate has a reliable internet connection, a paid AI subscription or someone to teach them how to use these tools well. If AI-written CVs gain an edge, young people with less access could fall behind through no fault of their own. This could deepen the very graduate unemployment problem that many African countries are trying to solve.
The Sameness Problem
When thousands of applicants use the same tools, CVs begin to sound alike. The same buzzwords appear again and again. Recruiters then struggle to see who the person really is, and the real skills hide behind identical sentences.
What This Could Mean for Employers
You Might Hire the Writing, Not the Worker
A beautifully written CV tells you little about whether someone can do the job. If your process leans heavily on automated CV screening, you could shortlist people who write well with AI and miss people who work well without it.
You May Miss Hidden Talent
Some of the best employees do not present well on paper. They may be self-taught, from smaller institutions, or new to formal job applications. A filter that favours a certain style can quietly screen them out.
You Carry the Legal and Ethical Risk
Employers are responsible for fair hiring, even when software makes the first cut. Biased tools can create unfair outcomes and damage your reputation. It is wise to understand how your tools work and to check their results regularly.
Advice for Job Seekers
AI can help you, and there is nothing wrong with using it wisely. The goal is to stand out as a real person.
Use AI as an Assistant, Not a Ghostwriter
Let AI help with structure, grammar and ideas. Then rewrite the content in your own voice. Add details only you know, such as projects you led, problems you solved and results you achieved.
Stay Truthful
Never let a tool invent experience, skills or qualifications. Employers check, and being caught can end an application immediately. Be ready to explain every line on your CV in an interview.
Make It Specific
Generic claims such as “hardworking team player” mean little. Describe what you actually did. Name the tools you used, the tasks you handled and the outcome you achieved.
Support Your CV with Proof
Add a short portfolio, a link to your work, references, or a clear example of what you can do. Real evidence is harder to fake than good wording.
Prepare for the Human Stage
Many hiring processes still end with an interview or practical test. Make sure the person who shows up matches the person on the page.
Advice for Employers
Keep Humans in the Loop
Use technology to save time, not to make final decisions. Make sure a trained person reviews shortlists and, where possible, a sample of rejected applications too.
Test Your Tools
Ask your software provider how the tool scores CVs and what steps they take to reduce bias. Run your own checks by comparing how it rates different styles of CV with similar content.
Assess Skills Directly
Add short practical tasks, work samples, structured interviews or simulations early in the process. These show what a person can do, regardless of how well their CV is written.
Widen What You Look For
Value potential, learning ability and attitude, not just polished language. Consider structured apprenticeship and graduate programmes that let you see candidates at work before you decide.
Be Transparent
Tell candidates when and how AI is used in your hiring process. This builds trust and encourages honest applications.
The Bigger Picture
AI is not going away, and it can make hiring faster and more accessible when used well. The danger lies in letting tools quietly set the rules without anyone checking. Hiring is about people, and good decisions need human judgement, fairness and context.
The organisations that win will be those that use AI to support their recruiters, not replace them.
Frequently Asked Questions
Do AI tools really prefer AI-written CVs?
Some early research suggests certain AI models may favour AI-style writing, but findings vary and the field is still developing. It depends on the tool and how it was built. That is why employers should test their own systems.
Is it wrong to use AI to write my CV?
No. Using AI for help with wording, layout and grammar is fine. Problems begin when the content is untrue, copied without thought or does not sound like you.
Will employers know if my CV was written by AI?
Not always. But interviews, tests and reference checks often reveal gaps between a CV and the real person. Honesty and personalisation are your best protection.
How can I make my CV pass automated screening without sounding fake?
Use clear headings, relevant keywords from the job advert, and plain, specific language. Describe real achievements in your own words.
Should employers stop using CV screening software?
Not necessarily. These tools can save time. But they should support human decisions, be checked regularly for bias, and be combined with skills-based assessment.
How does this affect fresh graduates in particular?
Graduates have little work history, so their CVs rely heavily on wording. If screening rewards polished text, those with less access to AI tools may be disadvantaged. This is why practical assessment and programmes like apprenticeships matter.
How can Bliss HR Africa help?
We help organisations design fair, people-focused recruitment processes, review their screening methods, and train hiring teams to use AI responsibly.
Hire Smarter with Bliss HR Africa
Technology should help you find great people, not hide them. At Bliss HR Africa, we combine modern tools with human insight to build recruitment processes that are fair, efficient and focused on real talent.
Whether you want to review how AI is used in your hiring, train your team, or build a skills-based recruitment process, we are ready to help.
Contact Bliss HR Africa today to book a consultation and make your hiring smarter, fairer and more human.
