Blog
Research-backed insights on AI in recruitment

Why Candidates Prefer AI Interviews Over Human Ones
Data shows 78% of candidates prefer AI-led interviews. Lower stress, flexibility, and perceived fairness are the key reasons behind this preference.

How Do Algorithms Score Us? Candidates' Hidden Theories
When candidates don't know how AI makes decisions, they develop their own 'folk theories.' How do these assumptions affect hiring quality?

Gen Z and Neurodiversity: A Guide to Inclusive Hiring
Gen Z's neurodiversity awareness is making inclusive design a necessity in AI-powered hiring processes.

AI vs. AI: The Hiring Arms Race
What happens when companies' AI systems and candidates' own algorithms go head to head? The 'AI doom loop' and its impact on recruitment.

Beyond Knowledge: How AI Measures Candidate Behavior
AI interviews now go beyond standard questions to measure core behaviors like patience, risk appetite, and self-regulation.

Beyond Surface-Level Answers: The Probing Power of AI
AI's deep probing capability goes beyond candidates' rehearsed answers, uncovering their true competencies through intelligent follow-up questions.

Linguistic Mirroring in AI Interviews: Building Rapport with Candidates
How do candidates 'speak the same language' as AI? Linguistic style matching directly impacts interview success.

One-Way Videos: The Hidden Enemy of Your Employer Brand
How do asynchronous video interviews damage company image? Scientific data and candidate experiences reveal the impact of this cold technology.

Gen Z and AI: The Transparency Race Begins
Gen Z demands not just speed from AI in hiring, but ethical standards and transparency. Research reveals this generation's expectations.

Results from the Most Comprehensive AI Interview Field Study
A field study conducted with 70,884 candidates reveals how AI interviews are transforming hiring processes.