The Definition Nobody Wants to Sit With
Disruptive innovation, as Clayton Christensen originally framed it, describes the process by which a smaller, simpler, or cheaper product or service moves upmarket and eventually displaces established competitors. That's the textbook version. Here's the version that keeps executives up at night: disruption is what happens when you're too busy protecting what you have to notice what's replacing it.
It doesn't arrive with a press release. It arrives as a cheaper alternative that your best customers would never use — until they do.
The disruptive business model follows a predictable pattern:
- Enter at the low end. The new entrant targets customers the incumbent ignores — too small, too price-sensitive, too unsophisticated.
- Improve relentlessly. The new model gets better, faster than anyone expected.
- Move upmarket. By the time the incumbent notices, the disruptor is competing for their core customers.
- The incumbent can't respond. Defending the new model would mean having to cannibalize their core business — and most organizations simply won't do it.
That last point is where companies die.
Three Companies That Saw It Coming and Still Failed
The most chilling thing about historical corporate failure patterns is this: most of these companies knew. They had the data. They had the talent. They had the capital. What they lacked was the will to act against their own short-term interests.
Kodak: Invented the Future, Then Buried It
In 1975, a Kodak engineer named Steve Sasson built the world's first digital camera. The company shelved it. Film was too profitable. The digital camera was a curiosity, not a threat — until it was the only thing anyone wanted. By 2012, Kodak filed for bankruptcy. Rochester, New York lost one of its defining institutions. The existential threat had been sitting in a Kodak lab for nearly three decades.
Blockbuster: Turned Down the Exit
In 2000, Blockbuster had the opportunity to acquire Netflix for $50 million. They passed. By 2010, Blockbuster filed for bankruptcy. Netflix, built on a disruptive business model of near-zero marginal cost digital delivery, had made the late fee — Blockbuster's reliable revenue stream — feel like an insult. The business model didn't just compete with Blockbuster. It made Blockbuster's entire value proposition feel punitive.
Nokia: Dominated Until It Didn't
In 2007, Nokia controlled roughly 40% of the global mobile phone market. Then the iPhone arrived. By 2012, Nokia's market share had collapsed. The company had smartphones in development. It had the engineering capability. What it didn't have was a willingness to cannibalize its own hardware margins for a software-first future. By 2014, Microsoft acquired Nokia's handset division for a fraction of its former value — and then largely wound it down.
These aren't cautionary tales about bad companies. These are cautionary tales about good companies that made rational short-term decisions and paid for them with their existence.
What Is Disruptive Technology in the Current Moment?
If you're searching for disruptive innovation examples and thinking about Kodak and Blockbuster as history, you're already behind the curve. The disruption happening right now is faster, broader, and more structurally fundamental than anything those companies faced.
AI is the disruptive technology of this decade. Not because it's impressive — because it operates at near-zero marginal cost and improves exponentially. A task that required a team of five people in 2022 can be completed by one person with the right AI tools in 2025. That's not a productivity improvement. That's a structural change to what a business needs to spend money on.
This is what we mean when we say we're living through the iPhone moment of AI. The iPhone didn't just create a new product category. It made entire industries — GPS devices, point-and-shoot cameras, portable music players — functionally obsolete within a few years. AI is doing the same thing to knowledge work, and the timeline is compressed.
The companies that will make it to the other side are the ones that treat AI adoption not as a feature upgrade but as an operating model transformation. The ones that don't will join Kodak and Blockbuster in the case study archives.
The Binary Nature of What Comes Next
Here's what makes this moment different from previous waves of digital transformation: the binary nature of the outcome.
When the internet arrived, businesses had years to adapt. E-commerce was a complement to physical retail before it became a replacement. Cloud computing offered a gradual migration path. AI is compressing that timeline dramatically.
- AI-first companies are building products and services that would be impossible without AI at their core.
- AI-native startups are entering your market right now with cost structures you cannot match using your current operating model.
- Your existing competitors are either already adopting AI tools or they're about to — and the ones who move first will widen the gap faster than any previous technology cycle.
The question isn't whether to pursue digital transformation. The question is whether you'll pursue it before or after your market has already moved.
Automate or become irrelevant isn't a slogan. It's a description of what's happening.
How to Spot Disruption Before It Destroys Your Market
You don't need a crystal ball. You need a framework for looking in the right direction.
Watch the low end of your market. Who's serving customers you've decided aren't worth your time? That's where disruptors start.
Track what's getting cheaper. When a core input to your business — whether that's labor, software, or data processing — drops in cost by an order of magnitude, your competitive moat is eroding.
Notice what your customers are tolerating. Every workaround your customers accept is an invitation for a disruptor. Blockbuster's late fees were a workaround customers tolerated until they didn't have to.
Ask what you'd never do to protect your margins. Whatever your answer is, that's your vulnerability. That's exactly what a disruptive business model will exploit.
The Briefing You Actually Need
Understanding disruptive innovation is step one. Knowing what to do about it — specifically, for your business, your industry, your cost structure — is the work that actually matters.
Every week, we publish a briefing for SMB owners and entrepreneurs who are serious about not becoming the next case study. It covers the AI tools reshaping specific industries, the companies that failed to innovate and why, and the concrete steps that separate businesses that adapt from businesses that don't.
Join the mailing list and get the next briefing delivered directly to you. No noise. No generic advice. Just the signal that matters for business owners who understand the stakes.
The companies in the history books didn't fail because they lacked information. They failed because they didn't act on it in time. You still have time. Use it.