Welcome to Day 5 of 60 in Must-Read Books to Elevate Your Skills, Mindset, and Knowledge. This series explores practical lessons from pioneers, practitioners, founders, researchers, and leaders who have built, studied, or shaped what many of us aspire to create.
About the Book and Author
The Innovator’s Dilemma was written by Clayton Christensen, a professor at Harvard Business School who spent his career studying how and why industries get disrupted. Published in 1997, the book grew out of his research into well-run companies, including the disk drive industry, that lost leadership even though their managers made sensible decisions. It introduced the idea of disruptive innovation, now one of the most widely discussed concepts in business strategy.
The Hook
Why do great companies fail precisely because they do everything right?
The Core Lesson
Christensen separates sustaining innovations, which improve products for existing customers, from disruptive innovations, which start out simpler, cheaper or more convenient and are often dismissed by leading firms. Incumbents listen closely to their best customers and chase higher margins, which is good management. But it steers resources toward sustaining work and away from small, unproven markets. Meanwhile the new entrant improves over time, and eventually it becomes good enough for mainstream customers.
The dilemma is that the habits that make a company successful today can make it blind to the technology that replaces it tomorrow.
Personal Application: AI Agents
AI agents fit this pattern closely. A software team might bolt an AI assistant onto an existing product as a sustaining feature. A small startup might instead build an agent that handles one narrow job end to end at a fraction of the cost, for customers the incumbent considers too small to serve. Early on it looks limited. As models and tooling improve, that narrow agent can expand into territory the larger player assumed was safe.
Practical Action
This week, list the customers or tasks your business ignores because they look too small, too cheap or too basic. Pick one, and run a small, low-cost experiment with an AI agent to serve it. Treat it as a separate test with its own success measures rather than judging it by the standards of your core business.
Learn more about the author and the book at Harvard Business School. Explore more AI agent articles and resources at BigAIAgent.
Do you agree with the author’s central argument that good management can cause great companies to fail?








