Jobseekers are increasingly adopting unconventional strategies to navigate automated recruitment systems, according to recent data. Nearly half of those applying for jobs—49 percent—have deliberately included skills or keywords they do not possess in their applications to pass through artificial intelligence (AI) screening tools. Additionally, 28 percent reported embedding hidden text intended specifically to fool AI reviewers.

Another notable tactic involves applicants revising their applications to avoid detection as AI-generated content, with 42 percent indicating they have altered submissions to appear more authentically human. These practices highlight widespread frustration with the current hiring process, as automated systems play an expanding role in filtering job candidates.

Sharwan Tipton, chief people officer at Greenhouse, a company specializing in recruitment software, commented on the situation, stating that neither employers nor applicants believe the hiring process is functioning effectively. His observation reflects growing concerns that reliance on AI tools may be contributing to mistrust and manipulation on both sides.

As AI-driven applicant tracking systems become more prevalent, challenges remain around balancing efficiency with accuracy and fairness. The data suggests that while automation can streamline recruitment, it also encourages applicants to tailor their applications in ways that may obscure their true qualifications, complicating efforts to match candidates with appropriate roles.