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HBR IdeaCast

Leadership Summit 2026: Mattel’s CEO on Driving Consumer Engagement and Cultural Impact How Top World Cup, NBA, and NFL Coaches Make Better Decisions Under Pressure Creating Products with Curiosity, Humility, and Play The Right Way to Manage Rule Breakers We All Hate Meetings—Here’s How to Make Them Work Reinventing an Organization to Do More with Less What Leads Companies to Betray Their Own Principles How to Break Free of Negative Thought Spirals The Leadership Skills That Make Transformation Stick New Skills to Navigate Continuous Change Why Your Team Won’t Speak Up (And How to Fix It) What Sets Superteams Apart from the Rest To Gain Customer—and Employee—Loyalty, Go Beyond Good Enough The Case for Designing Work Around Circadian Rhythms Strategy Summit 2026: Who’s Going to Succeed with AI? Building a Sustainability Strategy Around Customers Strategy Summit 2026: Inventive Strategy and the ‘Unbossed’ Organization Learn to Disagree More Effectively Strategy Summit 2026: Why AI Means Radical Change The Shifting Relationship Between Business and the U.S. Government Strategy Summit 2026: Why AI Transformation Needs a Human Touch The Hidden Causes of AI Workslop—and How to Fix Them The New Leadership Structures that Unblock Innovation Assuming the Best About Others is Hard—But Necessary With Rise of Agents, We Are Entering the World of Identic AI What You Must Deliver to Win Customers Today The Cognitive Science Behind Sudden Change The Case For Becoming a Project-Based Org Ray Dalio on Economic Trends, Investing, and Making Decisions Amid Uncertainty What You Need to Know About Executive Recruiting
How Leaders Can Use AI to Solve Real Business Problems
2026-07-07 · via HBR IdeaCast
July 07, 2026

Many organizations are investing heavily in AI, but too few are asking the most important question: What problem are we actually trying to solve? Journalist and author Josh Tyrangiel argues that successful AI adoption has far less to do with choosing the right model and far more to do with identifying the right business challenge—and following through. He shares why executives should resist the pressure to become “AI-native” overnight and instead focus on targeted, high-impact problems where AI can create measurable value. He also offers practical advice on improving operations, communicating change across an organization, and avoiding the costly mistake of treating AI as a strategy rather than a tool, with examples from the healthcare sector and beyond. Tyrangiel is author of the book AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter.