Company-wide AI Implementation in Five Steps

Join me and Dan Shipper for a live session on what AI fluency looks like at the executive level tomorrow, Tuesday, June 2. We’ll walk through how the leaders we work with—at hedge funds, private equity firms, and Fortune 500 companies—are using AI in their day-to-day, and what they wish they’d done differently six months in. RSVP.

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Sitting across from the chief operating officer of a health tech company earlier this year, I watched her name a problem many executives are feeling but few say out loud.

“Our junior employees are probably much more native with this technology,” she said. “And we need to make sure we’re sticking with it. Makes me feel like a dinosaur to say that, but it’s true.”

Confessions like this come up regularly during our executive training sessions: Leaders aren’t working directly with AI on sophisticated tasks, even as they’re guiding planning decisions about the technology. They know they should spend more time learning the tools, but they haven’t committed to it yet. That’s understandable; executives are incredibly busy. But what we see in our sessions is that leaders who haven’t gotten their hands dirty don’t clearly understand the practical opportunities and challenges of AI. That health tech executive’s admission sparked an important conversation about how a coordinated company-wide approach to AI implementation starts with executive AI fluency—but doesn’t stop there.