Uploaded August 2026 | Updated September 2026, 2 hours ago
The most important AI question has nothing to do with picking the right technology. It's this: what problem are we actually trying to solve?
In this IdeaCast episode, journalist and author Josh Tyrangiel makes the case that successful AI adoption comes down to discipline—pick a real, high-impact problem, follow through on it, and measure the value it creates.
What you'll learn:
- Why treating AI like magic sets initiatives back
- How to identify the targeted problems where AI moves the needle
- Practical ways to communicate change and get buy-in across an organization
- Real examples from healthcare and beyond of AI creating measurable impact
If your org is investing in AI, this conversation gives you a sharper way to think about where that investment should go.
Listen to the full episode wherever you get your podcasts, or visit here: https://s.hbr.org/4fHBKQk
The most important AI question has nothing to do with picking the right technology. It's this: what problem are we actually trying to solve?
In this IdeaCast episode, journalist and author Josh Tyrangiel makes the case that successful AI adoption comes down to discipline—pick a real, high-impact problem, follow through on it, and measure the value it creates.
What you'll learn:
- Why treating AI like magic sets initiatives back
- How to identify the targeted problems where AI moves the needle
- Practical ways to communicate change and get buy-in across an organization
- Real examples from healthcare and beyond of AI creating measurable impact
If your org is investing in AI, this conversation gives you a sharper way to think about where that investment should go.
Listen to the full episode wherever you get your podcasts, or visit here: https://s.hbr.org/4fHBKQk
