Latest briefing · July 24, 2026
The Engineers Are Already Inside. Where Is Your CHRO?
OpenAI, AWS, and Anthropic are embedding engineers directly into enterprises to redesign HR systems — largely without HR leadership in the room.
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July 24, 2026
What the KPMG–UT Austin Study Just Got Right About AI Performance
A new study proves the workers who judge AI output beat those who simply delegate — and that finding should reshape how you train your entire workforce.
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July 23, 2026
The Manager Deletion Experiment Is Failing — Here's What the Data Shows
Org-flattening looked like discipline. It's starting to look like a structural error with compounding costs.
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July 22, 2026
The Manager Effectiveness Crisis Is the Real AI Readiness Problem
With AI reshaping every role, the weakest link in your transformation isn't your tech stack — it's the manager in the middle.
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July 22, 2026
Your Hiring Pipeline Is a Legal Liability and You're Probably Not Ready
Corporate counsel are flagging hiring infrastructure as a litigation threat. HR leaders treating it as an operational problem are already behind.
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July 21, 2026
The Work Situationship Is a Management Failure, Not an Employee Feeling
Employees say work feels like a situationship — and the data suggests their employers earned that verdict.
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July 20, 2026
The AI Productivity Trap: Why "More With Less" Is the Wrong Equation
Companies treating AI as a headcount problem are shrinking to fit a moment that rewards expansion — the data is starting to prove it.
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July 17, 2026
What Bernard Hampton Just Got Right About AI Upskilling at Scale
Bank of America's Bernard Hampton is building the workforce agility model everyone claims to want but few actually execute.
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July 15, 2026
The Expertise Pipeline Is Breaking — and AI Won't Fix It
AI is reshaping entry-level roles just as a historic labor shortage looms — and organizations have no plan for who trains the next generation.
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July 14, 2026
Your Employees Are Shipping AI Output They Can't Explain — That's a Leadership Problem
When workers submit work they don't understand, the problem isn't the AI — it's the organizational conditions that made that acceptable.
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