AI Hiring Tools May Favor AI-Generated Resumes, Study Finds

Bias in AI Hiring: Study Reveals Preference for AI-Generated Resumes

A recent study has uncovered a concerning trend in the use of artificial intelligence (AI) systems in hiring, where leading AI models consistently favor resumes written by themselves over original human-written applications, even when both are of equal quality. The research, which examined thousands of resumes, found that AI systems selected their own generated resumes more than 95 percent of the time, highlighting a "self preference" bias in automated hiring.

This bias has significant implications as AI is rapidly reshaping recruitment. According to current estimates, around 87% of companies are using AI in some part of the hiring process, from screening applications to ranking candidates. Many of these systems rely on algorithms to shortlist candidates before any human review takes place, with studies showing that more than 75% of resumes are filtered by software before reaching a recruiter.

The findings suggest that the bias towards AI-generated resumes could give applicants using similar tools an unfair advantage. In controlled experiments, candidates whose resumes were created using the same AI model as the employer's system were significantly more likely to be shortlisted than equally qualified applicants who submitted human-written resumes.

Read also: Kumar Mangalam Birla to Address Concluding Function of RSS Training Camp

The use of AI by job seekers is also on the rise. Surveys indicate that nearly 68% of workers now use AI tools to help write resumes, while 80% use AI-powered platforms during their job search. This has resulted in a flood of well-polished but often similar resumes, making it more difficult for recruiters to judge a candidate's actual skills.

A 2025 study found that hiring systems tend to favor resumes created using the same AI tools they use, with such candidates up to 60% more likely to be shortlisted than equally qualified applicants. As more companies use automated hiring tools, there are growing calls for clearer rules and greater transparency.

Experts say that firms should routinely check these systems for bias and keep human oversight in the process. Without such measures, hiring could become less about assessing real talent and more about how closely a resume fits what the system is built to select.

Read also: The Cost of Healthcare: Why Predictability in Medical Inflation is Crucial for Health Insurance

Comparison of AI Usage in Hiring and Resumes Filtered by Software