Every CV looks perfect now. That's the problem.
AI-generated applications are flooding hiring funnels with polished, keyword-perfect CVs that are increasingly difficult to trust. This article explores why traditional ATS filters now reward optimisation over ability, how application volume is driving recruiter burnout, and why AI detection is a losing battle. It argues for a better approach: evidence-based, structured evaluation that reduces bias, improves consistency, protects hiring quality, and helps teams identify the strongest candidates.
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