Trevor Higgs | April 2026 Somewhere around 2019, the assessment industry crossed a line. Not a legal line , though several companies came close, but a human one. The line between measuring candidates and monitoring them. Facial micro-expression analysis. Vocal tone scoring. Eye-movement tracking. Keystroke dynamics. Mouse-behavior patterns. Each one pitched as "new." Each one experienced by candidates as invasive. The result? A trust collapse that the industry is only beginni

Trevor Higgs | April 2026 Candidate feedback is consistent across thousands of hiring experiences: "I don't understand why I wasn't selected." It's the most human question in all of talent acquisition, and increasingly, the answer is: "The algorithm said no." That answer is unacceptable. Not just ethically, though it is. But legally, strategically, and commercially. The era of black-box AI in hiring is ending. What comes next will be defined by one word: explainability. The R

Trevor Higgs | April 2026 The most dangerous number in talent acquisition right now isn't a budget figure or a time-to-fill metric. It's 62. That's the gap [3], measured in percentage points, between how hiring managers feel about AI in hiring and how candidates feel about it. 70% of hiring managers say they trust AI to help make better hiring decisions. Only 8% of candidates agree. And that gap isn't narrowing. It's accelerating. The Canyon Nobody Talks About For years, the