Generative AI increased polished application volume 3x at scale employers since 2023
AI has decoupled observable hiring signals from underlying competence at the top of the funnel. Employers face rising screening costs and declining signal quality. Structural response requires moving assessment earlier and introducing verifiable work samples.
HBR documented how LLMs now generate tailored résumés and structured STAR answers at near-zero marginal cost. Primary effect is inflation of apparent competence: candidates without domain depth pass ATS filters and initial screens at rates previously reserved for strong performers. Secondary effect is signal collapse on the employer side as interview calibration data from prior cohorts becomes unreliable.
LinkedIn: By Q4 2025, 35 percent of Fortune 500 postings will require a verified work sample before any human screen.
Sources (3)
- [1]AI Has Broken Hiring(https://hbr.org/2026/06/ai-has-broken-hiring-heres-how-to-fix-it)
- [2]Generative AI and the Future of Hiring(https://hai.stanford.edu/news/generative-ai-and-future-hiring)
- [3]LinkedIn Workplace Learning Report 2024(https://learning.linkedin.com/resources/workplace-learning-report)