‘Trust is at an all-time low for both job seekers and recruiters’: Hiring platform CEO says talent acquisition is in an ‘AI doom loop’

Greenhouse’s 2025 AI in Hiring Report documents an “authenticity crisis” as AI multiplies applications and erodes trust: only 8% of job seekers say AI screening makes hiring fairer, almost half of candidates report decreased trust (62% for Gen Z), and LinkedIn applications have risen more than 45% (peaking at 11,000 apps per minute in June). Three in four candidates use AI to polish applications and 41% admit to using prompt injections—especially in IT (65%) and banking/finance (54%)—leading to homogenized resumes, higher volumes of low-quality or deceptive submissions (65% of hiring managers have caught AI misuse), and 74% of managers now fearing fraud more than a year ago. While some executives argue AI can improve matching when used as a targeted career coach, Greenhouse and industry leaders warn that restoring human judgment and new screening approaches are needed to break the “AI doom loop,” reduce hiring inefficiency, and protect recruitment quality.

Analysis

Greenhouse’s 2025 AI in Hiring Report flags an "authenticity crisis": only 8% of U.S. job seekers believe AI screening makes hiring fairer, almost half of candidates report decreased trust in hiring over the past year (62% for Gen Z), and among those who lost trust 42% blame AI directly. Application volumes have surged—LinkedIn applications rose more than 45% with a June peak of 11,000 applications per minute—which Greenhouse and recruiters attribute in part to AI-assisted mass applications.

Recruiters and hiring managers are seeing quality erosion and deceptive practices: three in four candidates use AI to polish applications, 41% admit to prompt injections (65% in IT, 54% in banking/finance), 65% of U.S. hiring managers have caught AI misuse, and 74% are more fearful of fraud than a year ago. The resulting homogenization of resumes and higher noise-to-signal ratio is described as an "AI doom loop" that lengthens time-to-hire and makes it harder to identify qualified candidates.

Industry participants argue there is constructive use for AI—targeted matchmaking and career-coach models like those described by Dex—but leaders such as Greenhouse call for restoring human judgment and better verification to break the cycle. The net market signal is moderately negative on candidate experience and hiring efficiency but implies demand for verification, fraud-detection, and hybrid human+AI hiring solutions, suggesting limited near-term disruption to major platforms but material product and monetization pressure going forward.

Key Decisions for Investors

• Monitor exposure to HR-tech and applicant-tracking vendors for product releases or guidance tied to AI-fraud detection and transparency features and favor firms that emphasize hybrid human+AI workflows
• Evaluate investment opportunities in vendors of candidate authentication, deepfake detection, and fraud analytics given 65% of hiring managers reporting AI misuse and 74% increased fraud concern
• Reduce conviction in pure-play job-board models that rely solely on application volume without quality controls, as a >45% surge in applications and 11,000 apps/minute may compress conversion economics if quality declines
• Track leading indicators—time-to-hire, quality-of-hire metrics, adoption of AI-transparency policies, and Gen Z trust levels—to time exposure to firms that can monetize improved screening and matchmaking