
Episode #81
Adopting AI Isn't the Same as Winning With AI
Adopting AI is easy. Proving it works is the hard part. In this episode, Chris Sugden , Managing Partner at Edison Partners , breaks down why companies need to move beyond AI adoption and start measuring whether it is actually improving the business. Chris explores the gap between widespread AI usage and meaningful financial impact, arguing that successful companies will not be those that simply deploy more tools, but the ones that build AI into their operating model with clear ownership, alignment, and measurable returns. He walks through the three stages of AI maturity, from siloed experimentation to systemic adoption, and explains why the best results come from AI working alongside people, not replacing them. This one's for leaders trying to separate AI progress from AI activity, for teams questioning whether their adoption strategy is delivering real ROI, and for anyone looking to build a culture where urgency accelerates growth without creating burnout. In this episode, you'll learn: Why AI adoption without ROI is just expensive activity The difference between siloed AI use and systemic adoption How AI can amplify culture, for better or worse Jump into the conversation: (00:00) Introduction (01:08) The AI adoption paradox (02:12) Why usage is not ROI (06:59) Measuring AI's real return (07:56) The three stages of AI maturity (14:09) Why AI needs human judgment (16:28) Building healthy urgency with AI (19:24) The human side of AI adoption

