Board Room Essays

An essay series for healthcare executives navigating the gap between AI ambition and real-world impact. The emphasis is practical – What leaders need to understand, decide and do now.

Find and Follow AI’s True North. 

Vendors sell potential. Value comes from somewhere else entirely: the leader who deploys AI, the culture that surrounds it, and the clarity of purpose that drives it. 

Welcome to the Planet of the Apps

Consumers have made digital devices part of daily life — and physicians are ready to use the data. The systems they work in are not.

You Can't Lead What You Haven't Defined

Your executive team is nodding at the same AI strategy slides — while holding three different definitions of AI. That gap is where strategy fragments and capital gets wasted.

AI Isn't Disrupting Healthcare. Consumers Are.

Your competition isn’t the health system across town. It’s the intelligent experience someone had with Amazon the night before.

Seven Reasons Why AI Fails to Scale

Across industries, most AI projects fail to deliver their intended value — not because the technology falls short, but because leadership does. Seven predictable failure modes explain why.

Three Questions About Responsible AI

An AI system can be legal, compliant, and technically accurate — and still be wrong. Three questions reveal whether your organization is ready to be accountable for the answer.

Stop With the Scary Stuff About AI, Robots and Job Loss. Read This Instead.

New global data tells a story the scary-robot headlines won't: AI is giving clinicians back three working weeks a year — and the companies investing most in AI are hiring the most people.

Mastering Your AI Learning Journey

Most people and organizations start their AI journey by doing things wrong. That’s not failure — it’s the first step in mastering a once-in-a-century technology, Done Right.

What the Nurses of New York Taught Me About AI Adoption

A week with the nurses of New York exposed a blind spot in how leaders think about AI resistance — and made one thing clear: AI adoption is a leadership challenge built on trust, not a technical one.