Incumbents vs. Outsiders: How AI’s Next Wave Will Reshape Industries, According to Lee McCabe

In a recent LinkedIn post, Lee McCabe offers a historical parallel to understand the current artificial intelligence boom, arguing that the companies that will truly dominate the AI era are not the established players but the imaginative outsiders. McCabe draws a striking comparison between the rise of smartphones in the early 2000s and the current trajectory of AI, emphasizing that predicting the broad trend is easy, but understanding the disruptive details is where success or failure lies.

The Smartphone Analogy: A Lesson in Disruption

McCabe recounts how, in the early 2000s, the advent of the smartphone was a foreseeable development. Industry giants like Nokia, Motorola, and BlackBerry, with their vast resources and market dominance, seemed poised to lead this new era. However, as McCabe points out, the true disruptors emerged from unexpected places.

“Then Apple, a struggling computer company, walked in from the sidelines. And Google, an internet search engine, gave away the operating system that would power billions of devices.”

This pivotal moment, McCabe argues, highlights a recurring pattern: incumbents often possess the existing technology and infrastructure, but it is the outsiders, driven by imagination, who redefine the landscape. He elaborates on this dichotomy, stating, “The incumbents had the technology. The outsiders had the imagination.” This dynamic, according to McCabe, is precisely what is unfolding with artificial intelligence today.

AI Today: A Parallel Platform Shift

Lee McCabe observes that the current discourse around AI mirrors the smartphone revolution in its predictability. He notes the widespread acknowledgment of AI as a transformative platform shift, evident in corporate board decks and executive mandates to integrate AI. However, McCabe cautions against a superficial understanding of this trend.

He contends that simply adding AI tools will not be enough for companies to thrive. Instead, he emphasizes the need for a fundamental re-evaluation of business operations.

“But the next generation of winners won’t be the ones adding AI tools. They’ll be the ones rebuilding their operating models around it.”

McCabe stresses that while the broad impact of AI is clear, the specific ways it will upend existing business models are less so. He uses the smartphone example to drive this point home:

“In 2005, you could see the smartphone wave coming. You just couldn’t see that it would kill the phone companies.”

This assertion underscores McCabe’s central thesis: the true disruption comes not from incremental improvements but from a complete reimagining of how businesses operate in light of new technological paradigms. He concludes that the AI revolution is following a similar script, presenting both immense opportunities and existential threats to businesses that fail to adapt their core operating models.

In essence, McCabe’s analysis serves as a stark reminder for business leaders: understanding the broad strokes of technological change is only the first step. The real challenge, and the key to future success, lies in grasping the granular details and having the imagination to fundamentally rebuild around the new reality, just as Apple and Google did with the smartphone.