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Leadership10 min read

Everyone Says Entry-Level Hiring Fell 80%. The Paper Says 9%. Both Numbers Should Worry You.

The 80% figure everyone is quoting is a press derivation, not a finding. The Harvard working paper it comes from reports a 9% relative decline in junior employment at generative-AI-adopting firms, robust across three methods, driven by requisitions that quietly never open rather than by layoffs. Stanford puts the gap for 22 to 25 year olds in AI-exposed roles at 19%. Revelio's data shows roles AI cannot touch fell almost as far. Here is what the evidence actually supports, and the four questions to ask before you freeze the graduate requisition.

TL
Leadership9 min read

Promoting Your Best Performer Is a Measurable Mistake. Here Is the Number.

Economists at Minnesota, MIT and Yale tracked almost 40,000 sales workers across 131 firms. Selling twice as much as a colleague made someone about 15% more likely to be promoted in a given month. It also predicted a 7.5% decline in how much they improved their future team. The same data identified a trait that does predict good managers, and firms were ignoring it.

TL
Leadership9 min read

Your Team Is Sending Each Other AI Slop. That's a Standards Failure, Not a Tool Failure

BetterUp Labs and Stanford surveyed 1,004 US desk workers and found 40% had been sent AI-generated work that looked finished but wasn't. Each instance took an average of 1 hour 51 minutes to untangle. Managers are hit hardest, with 54% reporting it. And 16% of it flows downhill from leaders. A March 2026 survey of 1,000 employees explains why: 21% are now required to use AI, but only 32% have any standard for what good AI use looks like.

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