Research, guides, case studies, and expert perspectives on AI recruiting, talent intelligence, and building high-performing teams.
Featured Research Our comprehensive analysis of AI-powered hiring in 2026 — covering adoption trends, skills-based hiring, psychometric assessment, bias mitigation, EU AI Act compliance, and the rise of talent intelligence platforms. Includes data from SHRM, Gartner, McKinsey, and peer-reviewed studies.
HBR's May 25 brief: 'every 30 minutes, someone creates something I have to look at.' Why mid-market AI rollouts engineer queueing collapse before ROI shows up.
Read moreDr. Sarah Liu
Korn Ferry's 1,600-leader survey: 99% say disconnected people-data hurts financials, 80%+ peg it at 3% of payroll. Why adding an AI agent amplifies the tax.
Read moreDr. Sarah Liu
Sawhney's 60-year, 800K-worker meta-analysis pins 47.5% of burnout and quit-intent variance on role conflict — the variable AI rollouts are quietly manufacturing.
Read moreDr. Sarah Liu
Mobile Mentor's May 20 Endpoint Ecosystem Study (N=2,500) finds role-specific AI training drives a 3x value lift while 48% got none. The Q3 implication for mid-market ops.
Read moreDr. Sarah Liu
Microsoft's May 5 WTI sub-study (N=1,800) finds manager AI-modeling lifts perceived value 17 pts, critical thinking 22 pts, trust 30 pts. Only 26% of AI users see aligned leadership.
Read moreDr. Sarah Liu
A new 420-nurse, 26-month M&SOM study finds 10% more primary responsibility cuts voluntary quit odds 54%+. Most AI rollouts strip the anchor.
Read moreDr. Sarah Liu
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