Nvidia AI architect shares advice for job seekers: Firms are using AI to screen resumes, you must learn to …

Nvidia Chief Software Architect Jonathan Ross said job applicants may improve their chances of getting shortlisted if they use the same artificial intelligence models that recruiters use to screen resumes. Speaking at the Sohn Investment Conference 2026 (via Business Insider), Ross said research suggests AI hiring systems may favor resumes generated by their own underlying large language models. His comments come as companies increasingly rely on AI tools to review applications and automate parts of the hiring process, raising fresh concerns about bias and fairness in AI-based recruitment systems. Jonathan Ross, who previously helped develop Google’s TPU chip, said, “AI likes to use AI” while discussing automated hiring systems. “Someone did a study and showed that resumes generated from one LLM are preferred by that same LLM over the resumes from the other,” Ross said during a conversation with Infinitum CIO John Yetimoglu.“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 suggested applicants may need multiple AI-generated versions of their resumes to improve their chances of passing 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.As reported by Business Insider, Ross appeared to reference a late-2025 academic paper titled “AI Self-preferencing in Algorithmic Hiring,” which tested more than 2,200 resumes across 24 job categories.According to the study, applicants using the same AI model as the evaluator were between 23% and 60% more likely to be shortlisted compared to candidates using human-written resumes with similar qualifications.