Steve Jobs once reflected:
“One of the hardest things when you’re trying to affect change is that people like this gentleman are right in some areas. The hardest thing is: how does that fit into a cohesive larger vision that’s going to allow you to sell?”
This insight captures a timeless challenge of transformation—whether in technology, leadership, or society: people often see part of the truth but struggle to place it within the broader context.
The New Chasm: From Geoffrey Moore to the Age of AI
Geoffrey Moore’s Crossing the Chasm (1991) explained how innovations stall between early adopters and the mainstream majority because people fail to connect bold new tech with practical, reliable use cases.
- In the dot-com era, the chasm was about turning websites into sustainable businesses.
- In the mobile era, it was about moving from early apps to everyday utility.
- In the cloud/social era, it was about trust, scale, and business integration.
Today, in the AI era, the chasm is different. It’s not about whether AI works—ChatGPT, Copilot, MidJourney, and others already prove its potential. The new chasm is about context, coherence, and trust:
- Fragmented Use Cases vs. Unified Vision
Companies experiment with AI pilots—chatbots, assistants, copilots—but lack a cohesive operating model that integrates AI across business, strategy, and ethics. - Efficiency vs. Human Meaning
Just as Jobs warned, individuals are “right in some areas”—AI can automate tasks—but the bigger vision must show how it augments human creativity, resilience, and decision-making rather than eroding them. - Adoption vs. Absorption
Many organizations adopt AI tools quickly but fail to adapt culture, governance, or skill development—leaving them stuck in the chasm.
Linking Jobs’ Wisdom to AI Readiness
Jobs’ point reminds us that seeing fragments of truth is not enough. AI skeptics, regulators, and enthusiasts all point to real issues—bias, efficiency, disruption, creativity. But unless leaders provide a cohesive narrative that integrates ethics, strategy, economics, and human values, adoption will stall.
This is where executive coaching, innovation frameworks, and portfolio-level strategy come in: bridging the gap between experimentation and scaled transformation.
The Takeaway
The AI era’s chasm is not about whether AI can work. It’s about whether leaders can:
- Connect disparate use cases into a larger vision
- Align that vision with economic value and trust
- Guide people across uncertainty into coherent transformation
Jobs’ wisdom still applies: the hardest part of innovation isn’t the technology. It’s the vision that makes the pieces make sense.
#AI #Innovation #CrossingTheChasm #Leadership #DigitalTransformation
