Innovation is romanticized as a flash of genius. BYD tells the truer story: it started bad at cars and became the best in the world by mass-producing its way through being bad — thousands of repeated, unglamorous cycles that compounded into capability no competitor could match. Innovation does not come from the task you are already good at. It comes from repeating, at volume, the task you are bad at until you are not.
Howard Moskowitz proved there is no perfect spaghetti sauce — only perfect sauces, one tuned to each cluster of people. Executive coaching has spent three decades in exactly the wrong search, hunting for the one right method. GROW, ontological, positive psychology, CBC, co-active — none is the answer, and all of them are. But the bliss point carries a second warning coaching rarely admits: the point where it feels best is not the point where it works.
Most leaders know Geoffrey Moore for one book. In fact he built an evolving body of work across four decades — Crossing the Chasm (1991, revised 1999 and 2014), Inside the Tornado, Zone to Win, Escape Velocity, The Infinite Staircase. Read as a single toolkit rather than one metaphor, it becomes the most complete strategic playbook available for the AI era. This is the second of three pieces reimagining Moore for AI.
In 1991, Geoffrey Moore identified the chasm between early adopters and the early majority — the gap where most technology products die. Thirty-five years later, AI has produced a chasm of a different kind. The technology has already crossed at the individual level. The enterprise is stranded between pilot and production. This is the first of three pieces on why the classic Chasm needs reimagining for the AI era.
Between 2016 and 2025, Volkswagen Group grew revenue by 48% — from €217 billion to €322 billion. Over the same period, its operating margin went from 3.3% to 2.8%. It sold half again as much for the same money. This is the single most important cautionary pattern for any enterprise scaling AI in 2026: growth is not the same as mutation.
There is a widely-shared framework describing three postures toward change — rebellious/creative/open, conservative/consensus-seeking, reactionary/safety-focused/stubborn. The most useful reading decouples these from age and treats them as diagnostic of mindset. In every organization, all three postures exist. The distribution across decision seats determines whether AI transformation succeeds or fails.
In the 1950s, the Liverpool Institute for Boys had both Paul McCartney and George Harrison as students. The music teacher missed both. Elvis Presley’s Tupelo school teachers said the same about him. Sir Ken Robinson used these stories to make a point: human resources, like natural resources, are often buried deep. The failure mode is producing systematic AI-native talent underestimation right now.
In 1995, Steve Jobs sat down with Robert Cringely for what was supposed to be a routine documentary interview. The tape was largely shelved. It was rediscovered in a garage in 2011, one month after Jobs died, and released as Steve Jobs: The Lost Interview. Buried in it is a story that maps directly onto three dimensions of the Mutation Readiness framework — and names the signals most enterprises are missing right now.
In 1998, Don Greiner spent approximately $200,000 to install two kindergarten classrooms inside the Grace Living Center in Jenks, Oklahoma. Sir Ken Robinson used the results to illustrate one of the most important principles in social design. The story is a direct challenge to the AI companion app model — and the deepest available argument for infrastructure redesign over symptom patching.
On June 16, 2026, Scaled Agile launched AI-Native SAFe. The launch introduced two new operating models, a new role, and an explicit commitment to curated data as a first-class transformation input. The six-part webinar series runs through August 25. What the launch actually means for enterprise transformation is worth understanding directly.
Tell us about your goals — we'll be in touch.
