Why using the same AI to write and review resumes might give you the best shot at landing a job

If you’ve ever wondered what happens when AI takes over parts of the hiring process, here’s an interesting twist for you: AI hiring bias might be a real thing, and it’s showing up strongly when AI itself reviews resumes.

Imagine a scenario where the job applications get written by AI — and then reviewed by the very same kind of AI systems. It turns out, the AI systems tend to favor resumes written by AI, and the catch is, they seem to like the ones crafted by the same AI model they themselves use. This creates a kind of feedback loop, where using a particular AI to write your resume could give you a leg up if the employer also uses that AI for reviewing.

What’s Going On With AI Hiring Bias?

AI hiring bias happens when the automated systems that screen and rank candidates unintentionally favor certain applicants, sometimes based on the way the resumes are written. Since these AI systems learn patterns from existing data, they might end up preferring content produced in a very specific style — and that style often matches their own “language model” style.

When an AI recruiter sees resumes generated or optimized by the same type of AI it uses, it’s more likely to rate those resumes higher. This means if your resume is written by an AI that mimics the recruiter’s AI, you have a better chance of making the cut.

Why Does This Matter to Job Seekers?

We all want to stand out in a stack of applications. If AI hiring bias is real, job seekers who use AI tools to craft their resumes might get an edge — especially if they match the AI style favored by recruiters. But this also raises questions about fairness. What about candidates who don’t use AI, or who use a different AI system? Could they be unfairly overlooked?

This bias could limit diversity in hiring, unintentionally favoring people who know how to game the system with AI tools. It’s a new challenge that companies need to be aware of when implementing AI in recruitment.

What Can Companies Do About It?

Recruiting teams using AI need to be mindful of these biases. Regular reviews of AI screening tools might be necessary to ensure they aren’t just favoring AI-generated applications. Organizations can also combine AI insights with human judgment to create a more balanced approach.

Implementing transparent AI systems and training these tools on diverse data sets can help reduce bias. Open discussions about AI hiring bias can push the industry toward fairer processes.

What Should You Do If You’re Applying for Jobs?

It might be worth experimenting with AI resume writing tools—but knowing which AI the employer uses could be tricky. Still, making your resume clear, tailored, and polished remains the best advice. Using AI to help you draft or improve your resume can be a handy tool—just don’t rely on it completely.

In the end, AI hiring bias is a reminder that technology is only as good as the data and designs behind it. As AI takes a bigger role in hiring, staying informed and prepared will help you navigate this changing landscape.

For more on AI and recruiting trends, check out The Register’s article on AI hiring bias, and learn about AI ethics and fairness from the Partnership on AI and AI Now Institute.