Most companies struggle with AI. And it’s usually not because the technology doesn’t work, but because the right adoption approach isn’t followed.
As Conor Grennan, Chief AI Architect at New York University, puts it, treating AI like a digital transformation initiative is a recipe for failure. What actually works is when leaders move beyond rolling out AI tools and drive the behavioral shift that sets clear expectations and enables real change.
When leadership teams get the people part right, they can avoid the usual mistakes, align teams on what matters and turn AI into real business results.
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0:00 Intro
04:52 AI adoption is a behavioral challenge
07:55 AI isn’t digital transformation
11:30 The risk of using AI agents as mere replacements
16:31 Finding the AI champion who drives change
18:18 The shift from commands to conversations
22:39 The foundation for scaling AI workflows
32:22 Why AI agents aren’t just machines
33:15 Trust, hallucinations and the data problem
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
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