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AI for Resume and Cover Letter Writing

The job search has been transformed by generative AI. Greenhouse's November 2025 research found 74% of US job seekers personally use AI in their job search. iHire's 2025 State of Online Recruiting reported 29.3% of candidates used AI to write or customize a resume or cover letter in the past year, up from 17.3% in 2024 and just 4.9% in 2023. But hiring managers have responded with active resistance: 49% of US hiring managers automatically dismiss resumes they identify as AI-generated. This page tracks both sides — the adoption surge among candidates and the hiring-side resistance.

4 visualizations + signals card 6 sources Last updated June 2026 Free to embed
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CHART 1 - THREE YEAR TRAJECTORY

Candidates using AI for resumes / cover letters, 2023–2025

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Source: iHire 2025 State of Online Recruiting, July 2025 (n=1,421 job seekers, n=529 employers). Tracks share of candidates using AI to write or customize a resume / cover letter in the past year: 4.9% in 2023, 17.3% in 2024, 29.3% in 2025.
CHART 2 - WHAT AI IS USED FOR

Job seeker use of AI by application material

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Source: ResumeBuilder.com surveys 2023, 2024; WorkLife coverage of 2023 survey. Among job seekers who use AI in applications: 72% for cover letters, 51% for resumes, 44% for writing assessments during interviews, 39% for assessment question responses, 31% for personal biography.
CHART 3 - REPORTED OUTCOMES

Self-reported results from AI-assisted applications

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Source: ResumeBuilder.com survey 2023 (n=1,000 job seekers who used ChatGPT for application materials). Self-reported figures should be interpreted with selection-bias caution — respondents who got positive outcomes may be more likely to attribute success to AI use; respondents whose AI-assisted applications failed may not remember using AI as the cause.
CHART 4 - THE DETECTION QUESTION

Hiring managers' detection claims vs actual accuracy

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Source: TopResume hiring manager survey (June 2025) for self-reported detection claims; JobCannon analysis of ResumeBuilder hiring manager detection test (March 2023, n=1,000) for actual measured accuracy. Important context: when hiring managers were asked to identify ChatGPT-written cover letters in blind testing, only 18% identified all three correctly. The 82% failure rate suggests that perceived AI detection is largely pattern-matching on generic prose, not on actual AI authorship.

About this data

The AI Behavior Index is the research arm of OneChat AI. This page focuses on the specific use case of AI for job application materials — resumes, cover letters, and related job search writing. It draws on multiple complementary surveys: candidate-side data from Greenhouse, iHire, and ResumeBuilder; hiring-side data from TopResume, ResumeBuilder, and iHire; and detection accuracy testing from ResumeBuilder's blind test of hiring managers.

Two important caveats. First, all candidate-side adoption numbers are self-reported and tend to undercount actual use (people don't always remember or admit to using AI). Second, the "outcomes" data (78% interview rate, 59% offer rate) is self-reported by candidates who used AI and may suffer from selection bias — candidates who had positive outcomes are more likely to attribute success to AI; candidates whose AI-assisted applications failed may discount AI as a factor. The gap between hiring manager confidence in detection (33.5% claim sub-20-second detection) and actual measured accuracy (18% correct in blind tests) is one of the most striking findings in this data. Data is refreshed when major surveys publish. If you have a study to suggest or notice an error, contact us at research@aibehaviorindex.org.

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How the data works

Every statistic shown is sourced from a publicly available study, survey, or report. We aggregate, organize, and contextualize this data — but the underlying research is conducted by the cited sources. Click any source link to access the original methodology. If you run into any issues or have a study to suggest, contact us at research@aibehaviorindex.org.