Nvidia: AI-Generated Resumes Attract Automated Recruiters

AI-Generated Resumes: An Asset to Attract Automated Recruiters

Jonathan Ross, an executive at Nvidia, recently highlighted an emerging trend in the recruitment field: AI-generated resumes may be preferred by automated selection systems. At the Sohn Investment Conference 2026, Ross explained that "AI likes to use AI," emphasizing that AI selection tools could favor resumes created by the same AI models they use themselves.

Ross, who contributed to the invention of Google's TPU chip, mentioned that job seekers could benefit from using the same AI model employed by recruiters. He specified that a study had shown that resumes generated by the same language model (LLM) are preferred by that same LLM compared to those from other sources. Therefore, he advises candidates to create multiple resumes tailored to different AI models to maximize their chances of being selected.

He emphasized that recruiters are now using LLMs to determine who to interview, but it is essential to know which LLM the recruiter is using. Ross suggested that to maximize the chances of passing automated selection systems, candidates should create one resume with Claude or Opus 4.7 and another with ChatGPT.

An Academic Study Confirms AI Preferences

Ross referred to an academic paper titled "AI Self-preferencing in Algorithmic Hiring," published in 2025, which corroborates his claims. Researchers Jiannan Xu, Gujie Li, and Jane Yi Jiang tested over 2,200 resumes across 24 different professions. They found that candidates using the same AI model as the evaluator had between 23% and 60% higher chances of being shortlisted than those presenting human-written resumes with similar qualifications.

The Rise of AI Recruitment Tools

According to a 2025 survey conducted by Resume.org among nearly 1,400 American workers, 57% of companies were already using AI in their recruitment processes. Among these employers, 79% reported using AI to screen resumes, and 74% stated that AI systems could reject candidates without human intervention.

However, the rapid adoption of these tools raises growing concerns about biases and rejection errors. Business Insider recently reported the case of a tech worker rejected for a position just six minutes after applying, likely due to an automatic elimination by AI software.