Nvidia exec warns AI-generated résumés could manipulate AI-recruitment systems
Nvidia's Jonathan Ross highlighted that AI screening tools might prefer résumés created by AI technologies
The Chief Software Architect at Nvidia shared that candidates could gain advantages by utilising the same AI models used by recruiters.
While speaking at the Sohn Investment Conference 2026, Jonathan Ross, an AI hardware architect who contributed to the invention of Google's TPU chip, stated that "AI tends to favour AI" and highlighted recent studies suggesting that AI recruiting systems might favour résumés crafted by their foundational models.
"A study revealed that résumés crafted by one LLM are liked more by the same LLM compared to those from another model," Ross explained to John Yetimoglu, Infinitum's CIO.
"Now, employers use LLMs to determine interview candidates, so it's vital to identify which LLM is in use," he elaborated.
Ross also mentioned that candidates might require several AI-tailored résumés to boost their prospects of passing automated screening tests.
"Therefore, it's strategic to create one résumé with Claude or Opus 4.7 and another with ChatGPT to increase your chances of getting noticed," he advised.
Ross seemed to be referencing a recent scholarly paper titled "AI Self-preferencing in Algorithmic Hiring," which appeared in a late 2025 issue of "Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society," authored by Jiannan Xu, Gujie Li, and Jane Yi Jiang.
The research involved over 2,200 résumés from 24 different professions, discovering that candidates using the same AI model as the assessor were 23% to 60% more likely to be shortlisted than those with similarly qualified but human-composed résumés.
These insights emerge as AI-based recruitment solutions quickly become prevalent in corporate hiring departments.
A Resume.org survey in 2025 involving almost 1,400 American employees informed about their firms' recruitment habits revealed that 57% of organisations had integrated AI in their hiring practices.
Among these companies, 79% utilised AI to review résumés, while 74% stated that AI systems could eliminate candidates without human intervention.
The swift uptake of AI screening processes also raises increasing apprehension about potential biases and incorrect screenings during recruitment.
Business Insider recently covered a case where an IT professional believed he was automatically screened out and rejected from a job six minutes after applying, suspecting the involvement of AI software.