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A study found AI screening systems preferred resumes created by the same models they use. Job seekers may need multiple AI versions to improve their chances of passing automated reviews.
Research indicates that AI-powered hiring tools can favor resumes produced by matching AI models over those written by humans or different systems. A study tested more than 2,200 resumes across 24 occupations. Applicants using the same AI model as the evaluator were 23% to 60% more likely to advance than candidates with similar qualifications who submitted human-written resumes.
A 2025 survey of nearly 1,400 U.S. workers found that 57% of companies already use AI in hiring. Among those employers, 79% apply AI to review resumes, and 74% allow AI systems to reject applicants without human review.
Applicants may need to create separate resumes tailored to different AI models to increase their chances of passing automated screening. One approach involves generating versions with multiple large language models to match the systems used by recruiters.
Recent reports show some applicants receiving automated rejections within minutes of submitting applications, highlighting how quickly AI screening can filter candidates.
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