AI Now Runs Most Corporate Hiring, Whether Candidates Know It or Not

If you have applied for a white-collar job in the past year, an AI almost certainly screened you before any human did. The productivity gains for employers are real, and so is the quiet risk: models trained on past hiring data inherit past hiring bias, and now they inherit it at scale. For HR leaders, the EU deadline is the forcing function — you need documented human review, auditable decisions, and transparent applicant communication before August, not a slide deck about plans. For job seekers, the practical move is to write resumes and cover letters that pass a machine first and a human second, because that is the order in which they will actually be read. None of this is good or bad on its own — it just means the hiring conversation you thought you were having with a recruiter is, increasingly, a conversation with a system the recruiter barely controls.