



By Zaheer Thaha/Jun 15
The average recruiter spends about 6 seconds scanning a resume. At that speed, a hiring team reviewing 250 applications per role is making thousands of micro-judgments based on formatting, keywords, and pattern recognition — rather than genuine qualification assessment. AI resume screening replaces that 6-second scan with a structured, criteria-driven evaluation that processes every resume [...]

By Kurian Benny/Jun 14
An AI recruitment strategy isn’t something you bolt onto an existing process and hope it works. According to SHRM’s 2024 benchmark survey, 67% of HR leaders say they’ve experimented with AI in hiring — but fewer than 20% have a structured strategy for how AI fits into their pipeline end-to-end. The gap between experimenting and [...]

By Kurian Benny/Jun 08
Candidate reactions to AI interviews are more nuanced than the headline assumption suggests. The research doesn’t show universal rejection — it shows that candidates dislike specific, fixable things about how AI interviews are implemented: opaque processes, surprise deployment without warning, sessions that feel like endurance tests, and silence afterward. Transparent, well-designed AI interview experiences produce [...]

By Kurian Benny/Jun 03
The question isn’t really AI vs human interviewers. It’s where in your hiring process each one does the job better than the other — and what you’re giving up by using the wrong one at the wrong stage. Human interviewers bring judgment, relationship-building instinct, and the ability to read signals that don’t show up in [...]

By Kurian Benny/Jun 02
Most hiring teams know that AI interview scoring produces a ranked shortlist. Far fewer understand what actually happens between the candidate hitting “stop recording” and the score appearing in the dashboard. That gap matters — because if you don’t understand how the scoring works, you can’t configure it correctly, and a misconfigured scoring system produces [...]

By Kurian Benny/May 29
High-volume hiring breaks processes that work fine at normal scale. A rubric that produces decent results for 30 applicants starts generating noise at 300. A 25-minute interview session that gets 74% completion when you’re hiring 10 people might drop to 55% when you’re hiring 400 and candidates feel like a number in a queue. AI [...]