The primary threat from AI disruptors isn't immediate customer churn. Instead, incumbents get "maimed"—they keep their existing customer base but lose new deals and expansion revenue to AI-native tools, causing growth to stagnate over time.

By launching the iPhone at Macworld, not CES, Steve Jobs controlled the narrative. He prevented journalists from framing it as just another phone to be compared feature-by-feature against competitors like the Nokia N95, which was superior on paper. This allowed him to define a new category instead of competing in an existing one.

While Silicon Valley idolizes new companies, the most impressive feat is sustained relevance. A company like Microsoft surviving and re-capturing dominance across multiple technological generations is statistically harder and more remarkable than a single startup's initial success.

Contrary to the belief that new form factors like phones replace laptops, the reality is more nuanced. New devices cause specific tasks to move to the most appropriate platform. Laptops didn't die; they became better at complex tasks, while simpler jobs moved to phones. The same will happen with wearables and AI.

The personal computing revolution was ignited not by the Apple II computer itself, but by VisiCalc, the first spreadsheet program. This demonstrated a crucial market lesson: a single, indispensable piece of software (a 'killer app') can create the demand for an entire hardware platform.

Unlike the early iPhone era, developers are hesitant to build for new hardware like the Apple Vision Pro without a proven audience. They now expect platform creators to de-risk development by first demonstrating a massive user base, shifting the market-building burden entirely onto the hardware maker.

The narrative of startups "destroying" incumbents is often wrong. As shown by MongoDB coexisting with Oracle and HubSpot with Salesforce, disruptive companies can create massive value by expanding the total market, allowing both new and old players to grow simultaneously.

A consistent pattern shows innovators adopting the models of legacy players they displaced. YouTube creating cable-like bundles, Coinbase mirroring traditional banks, and Facebook becoming new media illustrates a natural lifecycle where disruptors eventually converge with the industries they set out to revolutionize.

TiVo focused its resources on legally defending its DVR patent, its "moat." This strategic fixation caused it to completely miss the rise of streaming, a disruption that made its core technology irrelevant. Protecting an advantage can create a dangerous blind spot to bigger, external threats.