Moneycontrol: 40% drop out

Hiring has turned into an arms race. Companies are using AI to screen people earlier and more often. Candidates are using AI to blast out applications, tailor resumes, and sometimes even get through the first filter. The result is not cleaner matching. It’s more noise, less trust, and a hiring process that increasingly feels adversarial instead of evaluative. ### What changed? The clearest new signal comes from Greenhouse’s 2026 Candidate AI Interview Report. Nearly two-thirds of U.S. job seekers — 63% — say they’ve already experienced an AI interview. But 38% say they have withdrawn from a process because it included one, and another 12% say they would if required. That is a huge leak in the funnel, especially because it is happening at the exact moment employers are scaling these tools up. ### Are candidates rejecting AI outright? Not really — and that’s the important part. Only 19% of U.S. candidates want less AI in hiring than exists today. The bigger preference is for the same amount of AI with more transparency, or even more AI if humans still oversee the important calls. Basically, candidates are not saying “never use automation.” They’re saying “don’t make me perform for a black box.” ### So what are people actually mad about? The most disliked format is the pre-recorded video interview scored by AI with no human present. Greenhouse says 33% of U.S. candidates who dropped out pointed to that setup. Other common triggers were companies not clearly disclosing how AI would be used, AI monitoring during the process, and mandatory AI-led interviews. The pattern is simple — people told the person still matters. ### Why does transparency matter so much? Because most candidates say they are not getting it. Among U.S. candidates who experienced AI evaluation, 70% say AI was not clearly disclosed before their most recent AI interview. One in five say they only learned about it once the interview started. And 75% want some form of legal disclosure requirement when AI is used to evaluate them or heavily influence decisions. That is not a small UX complaint. That is a legitimacy problem. ### What are candidates doing on the other side? They are automating too. One widely shared Reddit case described a custom bot that allegedly applied to 1,000 jobs, generated tailored resumes and cover letters, answered application questions, and helped land around 50 interviews in a month. Whether that exact outcome is replicable is almost beside the point. The point is that applicants now have tools to flood the top of the funnel just as employers have tools to thin it. ### What does that do to interviews? It pushes employers away from polished application materials as a signal. If a resume, cover letter, and even some screening answers can be machine-generated on both sides, those artifacts lose value fast. That is why technical hiring is shifting toward environments where candidates have to demonstrate ownership live. As 83% of developers now complete projects faster with GenAI, and interview platforms are already talking about redesigned coding screens built for that reality. ### Does this mean old interviews are dead? No. But the easy versions are. Standardized, easily searchable questions are more vulnerable to AI assistance, so companies are moving toward custom prompts, more contextual tasks, and sometimes more in-person verification. The catch is that every extra safeguard adds friction — and friction is exactly what is already driving candidates away. ### Bottom line? Hiring is not becoming more automated so much as more contested. The winners will be the companies that use AI visibly, narrowly, and with humans still making the consequential calls. And for candidates, the new edge is not just a cleaner resume — it is being able to show, quickly and credibly, what work is actually yours.