<p>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. </p><p><br></p><p>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.</p><p><br></p><p>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.</p><p><br></p><p>Learn about AI agents and application architecture → https://ibm.biz/BdbR2B </p><p><br></p><p><br></p><p>0:00 Intro</p><p>04:52 AI adoption is a behavioral challenge</p><p>07:55 AI isn’t digital transformation </p><p>11:30 The risk of using AI agents as mere replacements</p><p>16:31 Finding the AI champion who drives change</p><p>18:18 The shift from commands to conversations</p><p>22:39 The foundation for scaling AI workflows</p><p>32:22 Why AI agents aren’t just machines</p><p>33:15 Trust, hallucinations and the data problem</p><p><br></p><p><br></p><p>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. </p><p><br></p><p>AI news is moving fast. Keep your business ahead with updates about AI advancements, strategies and expert perspectives → https://ibm.biz/BdbdvS</p><p><br></p>