There's a widening trust gap between the people running hiring processes and the people going through them. A Greenhouse report surveying over 4,100 job seekers, recruiters, and hiring managers across the US, UK, Ireland, and Germany found that 70% of hiring managers say AI helps them make faster and better hiring decisions. On the other side of the table, only a small minority of job seekers in the same survey described AI-driven hiring as fair.
From a hiring manager's seat, AI tools cut down the hours spent sorting hundreds of applications for a single role, flag inconsistencies in resumes, and surface candidates who might otherwise get buried in a pile. From a candidate's seat, the same tools can feel opaque: you rarely know what the system weighted, why you were filtered out, or whether a qualified application ever reached a human.
The same report found something hiring teams are watching closely: 91% of recruiters said they've spotted candidate deception somewhere in the process, and 41% of US job seekers surveyed admitted to using "prompt injection" — hidden text in a resume or application designed to manipulate an AI screening tool into rating them more favourably. It's a sign of how adversarial the relationship between applicants and AI screening has become in a short time.
Prompt injection tricks are exactly the kind of pattern recruiters and their vendors are now trained to look for, and getting caught tends to end an application immediately rather than just failing to help it. Most hiring teams treat manipulation attempts as a trust violation, not a clever hack — which makes it one of the riskier shortcuts available to a job seeker right now.
The trust gap in AI hiring isn't closing on its own anytime soon. Until it does, the safest strategy is to apply as if a careful, literal-minded reader — human or otherwise — is going through every line.