AI Transformation Requires Redesigning Work, Not Cutting Roles
If leaders default to headcount reduction, the result will be an organization that is smaller but not smarter.
If leaders default to headcount reduction, the result will be an organization that is smaller but not smarter.
Rethinking Knowledge Management Principles for an AI-Powered World
The lesson isn’t to unplug — modern life won’t allow it. It’s to decide before the music starts, so there’s no choice left to make.
Stop looking for the last destination. Start building the next one.
If your AI roadmap assumes young people will lead adoption, you’re building on a myth.
What we lose when an app remembers our dead for us.
AI is taking over the front line. Whether that deafens your company or sharpens its hearing depends on decisions leaders make now.
Working with a tireless machine makes stopping feel like failure.
To understand our current moment in AI, it helps to know a little bit about diamonds.
Your best work was shaped by people who never took credit.
The leaders who keep their edge will be the ones who resist the temptation to hand over judgments to machines.
Decisional and adaptive sovereignty belong on every board’s agenda.
Machines may learn facts. They can’t learn to be you.
The world’s most competitive economies are also its most carefully governed. The same logic is starting to decide which companies win with AI.
Three philosophical proficiencies for leading in a world where old certainties are breaking down.
Europe is treating digital sovereignty as a question of self-determination. Every business should now do the same.
How to maintain your edge—and your humanity—as AI redefines the workplace.
These two specific types stand out.