Field Note 012
88% of Hiring Managers Say They Can Spot AI-Written Applications
Built around the same ideas: paste a job description, see who actually decides the hire. grapevines.ai/intel
In a 2025 survey of 625 hiring managers, 88% said they could identify AI-generated application materials. Whether they're actually right is debatable. What matters is the confidence: they believe they can tell, and they're making decisions based on that belief.
The tells they cite are consistent: overly formal language, lack of specific examples, generic enthusiasm ("I'm passionate about leveraging my expertise to drive impactful results"), and a suspiciously uniform tone across resume, cover letter, and LinkedIn profile.
The irony is that many of these tells also describe poorly written human applications. The difference is that a human-written mediocre cover letter reads as low effort. An AI-written mediocre cover letter reads as dishonest effort. One is forgettable. The other is disqualifying.
The takeaway for job seekers: if you use AI tools, the output needs to sound like a specific person talking about specific experiences. Generic AI polish doesn't just fail to help. It actively hurts.
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