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The AI Talent Squeeze: Why Your Most AI-Fluent Employees Are Also the Most Likely to Leave
Every enterprise wants an AI-engaged workforce. The exact employees who become that workforce are the ones the market wants most. Discover why retention is now one of the most underrated AI strategies of 2026, what actually works to hold AI-fluent talent, and how the preceptor role becomes a retention moat.
The Leadership Flywheel: How AI Leaders Compound Competitive Advantage
The greatest AI advantage is not automation—it is accelerated learning. Discover the AI leadership flywheel—productivity, reinvestment, innovation, and scale—and how the leaders who build it compound competitive advantage cycle after cycle.
AI Leadership Edge: The Week AI Investment Outpaced AI-Ready Leadership
Enterprise AI investment hit $8 billion this week, but McKinsey finds 72% of organizations aren't ready for the changes AI requires. What Data & AI leaders should do to close the readiness gap.
From AI Projects to AI Operating Models
Winning companies do not implement AI—they redesign how the business runs. Discover why the AI operating model—embedded workflows, AI as infrastructure, continuous strategy loops, and execution systems—turns potential into durable competitive advantage.
Portfolio Leadership: How Data & AI Executives Now Manage Models Like Assets, Not Tools
Model access has commoditized. Betting a five-year architecture on one vendor is now a leadership risk. Discover how the best Data & AI executives are running a real portfolio — across models, use cases, risk tiers, and horizons — and what the 70/20/10 discipline looks like in practice.
AI Pulse: The Week AI Infrastructure Investment Overtook the Model Race
Anthropic's $35B infrastructure deal and new McKinsey agent-scaling data reveal a shift already underway: enterprise AI investment is moving from models to infrastructure and governance readiness.
The Preceptor Model: Why Manager Coaching in the AI Era Is the Missing Layer in AI Adoption
Managers are no longer supervising work—they are shaping how employees think, communicate, and engage with the business. Discover Play 5 of building expertise in the age of AI: the preceptor model, and why manager coaching is the layer that turns the other four plays into a real pipeline.
Hire for Judgment, Not Tool Fluency: The New Talent Bet in the AI Era
The question is shifting from "What did you study?" to "How do you think?" Discover Play 4 of building expertise in the age of AI: hiring for judgment over tool fluency, the rise of the "general athlete," and why firm-specific judgment is the durable investment.
The Human Advantage in an AI World
As machines become more capable, human wisdom becomes more valuable. Explore the enduring human advantage in an AI world—creativity, vision, ethics, strategic imagination, meaning-making, and trust—and why it is the heart of leadership.
AI Leadership Edge: Why Leadership Drift Is Stalling Your AI Strategy
New HBR research names the pattern quietly stalling AI strategy: leadership drift. This week's AI Leadership Edge covers the signal, a leadership lesson on culture, the agentic AI readiness gap, and five questions for your next leadership meeting.
Learning in the Flow of Work: How AI Compresses the Path from Novice to Expert
For the first time, apprenticeship has a metric: the narrowing gap between an employee's attempt and the AI's output. Discover Play 3 of building expertise in the age of AI—learning in the flow of work, and why the attempt-then-check loop is now the fastest path from novice to expert.
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