10 Game-Changing Innovations Outside of AI That Should Inspire CMOs
Summary
Myles Suer reviews Scott D. Anthony’s book Epic Disruptions and pulls ten broad lessons from historical innovations that matter for today’s CMOs. The article reframes disruption as progress that simplifies complexity and makes the expensive affordable, and it argues CMOs should act as orchestral leaders of digital transformation — not merely promoters. Suer highlights that innovation is collective, often slow, and frequently comes from refining existing ideas, not inventing from scratch.
The piece uses case studies — Gutenberg’s press, Ford’s Model T, the transistor, Nightingale’s use of data, McDonald’s process innovation, Pampers, Nucor vs Bethlehem Steel and the iPhone — to show practical lessons: small fixes win, patient partnerships pay off, consistency can beat product novelty, and failure to adapt can mean extinction.
Key Points
- CMOs are increasingly the orchestrators of digital transformation, shaping customer experience and digital offerings.
- Reframe disruption as a modifier of innovation: it often simplifies complexity and reduces cost, creating new markets.
- Study past disruptions — they provide repeatable patterns and playbooks for navigating future change.
- Innovation is collective, not the work of a solitary genius; ecosystems and partnerships matter.
- Breakthroughs often come from refinement (scale, process, affordability) rather than pure invention.
- Small, customer-focused fixes can capture entire markets (the Pampers lesson).
- Patient investment and ecosystem building (transistor, iPhone) are essential for long-term success.
- Consistency and repeatable experience (McDonald’s) can outperform flashy product innovation.
- Data only creates value when it drives action and organisational change (Nightingale lesson).
- Failing to adapt — listening only to yesterday’s customers — is the fastest route to irrelevance.
Context and Relevance
This article is useful for marketing leaders wrestling with AI hype and wondering what to prioritise beyond short-term tool adoption. It places generative AI in a longer timeline of disruption and insists CMOs combine foresight with hindsight: use historical patterns to spot weak signals, back patient bets, and design organisational capability to act on new customer needs. The lessons apply across martech, CX design, product strategy and change management.
Why should I read this?
Look — if you’re a CMO drowning in AI buzz, this saves you time. It pulls historical wins and fails into bite-sized lessons you can actually use: make small customer fixes, back partnerships, and don’t let today’s customers blind you to tomorrow’s needs. Read it for practical perspective, not tech evangelism.
