Nvidia’s Chief Software Architect said job seekers could benefit from using the same AI model that recruiters use.
Speaking at the Sohn Investment Conference 2026, Jonathan Ross, the AI hardware architect who previously helped invent Google’s TPU chip, said that “AI likes to use AI” and pointed to emerging research that AI hiring systems may favor résumés generated by their own underlying models.
“Someone did a study and showed that résumés generated from one LLM are preferred by that same LLM over the résumés from the other,” Ross told John Yetimoglu, the CIO of Infinitum.
“The recruiters are now using LLM to determine who to interview, but you got to figure out which LLM the recruiter’s using,” he added.
Ross said that applicants may need multiple AI-tailored résumés to maximize their chances of getting through automated screening systems.
“So, you should build one résumé with Claude or Opus 4.7 and one with ChatGPT, and you’ll have the highest probability of being selected, basically,” he said.
Ross appeared to be referring to a recent academic paper titled “AI Self-preferencing in Algorithmic Hiring,” published in a late 2025 edition of “Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society,” by researchers Jiannan Xu, Gujie Li, and Jane Yi Jiang.
The researchers tested more than 2,200 résumés across 24 occupations and found that applicants using the same AI model as the evaluator were between 23% and 60% more likely to be shortlisted than candidates submitting human-written résumés with similar qualifications.
The comments come as AI-powered hiring tools are quickly spreading through corporate recruiting departments.
A 2025 Resume.org survey of nearly 1,400 US workers familiar with their companies’ hiring practices found that 57% of companies were already using AI in hiring workflows. Among those employers, 79% said they use AI to review résumés, while 74% said AI systems could reject candidates without human review.
The rapid adoption of AI screening tools has also sparked growing concerns about bias and false negatives in hiring.
Business Insider recently reported that an IT worker said he was rejected for a role six minutes after applying, and suspected that AI software had automatically screened him out.
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