As candidate-facing AI becomes ubiquitous, TA teams are discovering that traditional recruiting signals no longer hold. Resumes appear stronger than reality, interviews sound polished but lack depth, and genuinely qualified candidates are increasingly filtered out.

Drawing on patterns observed across 500k+ live interviews, this session examines how AI-assisted candidates are distorting screening, increasing fraud risk, and consuming recruiter time. Through enterprise and staffing perspectives, the panel will explore why standardized questions fail, how resume-aware interviews surface real capability, and what it takes to restore hiring signal integrity and efficiency at scale.