ATS Blind Spots: Why Interdisciplinary Talent Gets Filtered Out

ATS systems, designed to streamline hiring at scale, systematically underrank candidates with interdisciplinary backgrounds—penalizing career flexibility and cross-domain expertise that often represent genuine value. A practical experiment revealed that simply restructuring a CV for keyword alignment can reverse ATS rejection, exposing a critical gap between algorithmic pattern-matching and true candidate quality. As hiring increasingly relies on automated filtering, this bias risks eliminating the exact hybrid profiles most needed for complex, real-world ML challenges.