Nvidia Exec Reveals Why AI Resumes Boost Hiring Chances

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In 2026, using AI to build your resume is a must.  NVIDIA’s top executive, Jonathan Ross, believes AI hiring systems may favor resumes created by the same AI models they use. 

Jonathan Ross is a tech entrepreneur, best known as the founder and CEO of Groq, an AI hardware company. He previously worked at Google, where he helped develop the Tensor Processing Unit (TPU) for AI workloads. He is currently the Chief Software Architect at Nvidia.

The "AI Likes Its Own Kind" Opportunity in Resumes

Speaking at the Sohn Investment Conference 2026, Ross said “AI likes to use AI,” referring to research showing that AI-generated resumes often score better when screened by matching AI systems. 

While Ross was speaking about how models can now generate their own training data, leading to linear improvements, the host reminded him about how AI-written resumes are winning over.

“Someone did a study and showed that resumes generated by one LLM are preferred by that same LLM over resumes generated by other models. Recruiters are now using LLMs to decide who to interview, so you need to figure out which LLM the recruiter is using. 

You should create one resume with Claude Opus 4.7 and another with ChatGPT to maximize your chances of being selected.”

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Ross discusses an interesting phenomenon where LLMs tend to prefer summaries generated by their own architecture over those created by competing models. 

Because recruiters are increasingly using AI to screen candidates, the speakers (jokingly) suggest that job seekers should tailor their resumes to the specific LLM being used by the recruiter to increase their chances of selection.

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For example, a resume written with ChatGPT could perform better if the recruiter’s screening tool also uses OpenAI models.

The Real Study on AI Tools Preferring AI-Written Resumes 

The article also referenced a 2025 research paper called “AI Self-preferencing in Algorithmic Hiring.” 

Researchers tested more than 2,200 resumes and found that AI-generated resumes were 23% to 60% more likely to be shortlisted compared to similar human-written resumes.

They believe this happens because AI can recognize patterns similar to its own writing. Bigger and more advanced models showed stronger bias.

Think about what that means in practice. 

Two candidates apply for the same job. Their qualifications are identical. 

One wrote their resume by hand; the other used ChatGPT or a similar tool.

Candidates using the same LLM as the evaluator are 60% more likely to be shortlisted than equally qualified applicants submitting human-written resumes.

The research highlights how AI is rapidly changing job interviews and hiring overall. Many companies now use AI to review resumes, and some systems can automatically reject candidates before a human even sees the application.

But note that the AI preference bias is not neutral across all jobs. 

In simulated hiring pipelines across 24 occupations, the disadvantage for human-written resumes is most pronounced in business-related occupations such as sales, accounting, and finance, and least evident in fields such as agriculture and automotive.

Bottom Line

This is not a niche trend. A new survey found that more than 50% of new job applicants use AI tools to help write resumes and cover letters.

But there is a real trap here, and it is worth being direct about it.

A TopResume survey found that 19.6% of hiring managers reject candidates if they believe the resume was fully generated by AI. Recruiters are trained to spot resumes that sound like they were produced entirely by a machine with overly polished but hollow language.

The winning approach is to use AI as a collaborator, not a ghostwriter. Let AI tighten your language and improve ATS compatibility. But make sure the experience, the numbers, and the stories behind the bullet points are genuinely yours. Here are some practical resume tips for you.