AI & the Workforce
The people side: talent, hiring, delegation, and managing teams through AI.
Start here, then go deeper
Three selected reads, ordered from foundation to practical application.
- 02 Go deeper
The CEO's First AI Delegation Is Almost Always the Wrong One
Most CEOs delegate the wrong AI task first. A framework for picking the right starting point, and what never to delegate.
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Your AI Tools Are Multiplying. Your People Aren't Keeping Up
BCG found the tipping point: at 3+ AI tools, productivity collapses. The workers hit hardest aren't the disengaged ones. They're the high performers.
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Latest in this topic
The newest decisions beyond the guided path.
What Stays Expensive
The peer-reviewed version of a landmark AI productivity study found the gains landed on the least skilled and quality slipped slightly for the most skilled. What that describes is a repricing of what you have been paying for.
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Redesign the Work, Not the Tool
Deloitte found 66% of leaders say human-AI work design is critical, but only 6% do it. The gap is work design, not technology, and here is the fix.
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Why Nothing Changed After Your Team Adopted AI
Logins are up, the work is identical. The AI adoption-to-transformation gap is a measurement problem leadership owns. Four moves to fix the scorecard.
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Stop Importing Your AI Workforce Forecast
AI founders keep reversing their jobs forecasts. Your real workforce signal is three internal numbers that move before the macro does.
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What AI-Native Teams Lose When They Win
Coinbase made lean-AI-native official. The CEO question isn't whether AI flattens the org. It is what gets removed when manager layers go.
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The Founders Who Win Don't Delegate Understanding
Walton, Schultz, Nadella, Chesky, and Schreiber show the pattern behind every paradigm shift, and what it means for AI in your company today.
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Meta Ranks Employees by AI Usage. History Says That Backfires.
Meta, OpenAI, and Shopify now rank employees by AI token consumption. A 1975 management paper explains why measuring usage volume backfires.
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Oracle and Meta Cut Tens of Thousands of Jobs. It's Not AI.
Oracle is cutting 30,000 jobs on $124 billion in debt. Meta trims teams while doubling AI spending to $135 billion. The real reason is not AI efficiency.
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502,000 AI Layoffs Planned. Zero Productivity Evidence.
44% of U.S. CFOs plan AI-related layoffs this year, roughly 502,000 positions. Goldman Sachs found zero measurable link between AI and productivity.
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McKinsey Runs 25,000 AI Agents Next to 40,000 Humans
McKinsey runs 25,000 AI agents alongside 40,000 consultants. Their org structure offers a template most companies haven't started building.
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The AI Talent Exodus: When the People Behind Your Tools Go
Mira Murati left OpenAI, raised $2 billion before shipping a product. Meta offered $1 billion to poach one engineer. Capital follows people, not products.
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Your Best Managers Probably Feel Deep Empathy. Their Teams Can't Tell.
A study of 968 people found no link between feeling empathy and showing it. One AI coaching session closed the gap by nearly a full standard deviation.
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66% of CEOs Froze Hiring for AI. The Real Problem Isn't Spending.
Corporate America cut 1.17 million jobs to fund AI. Only 20% of organizations redesigned how work gets done. That gap is where AI budgets die.
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What 80,508 People Actually Think About AI
Anthropic surveyed 80,508 people across 159 countries. The average AI user holds 2.3 fears about the same technology they say is working.
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