The marketplace is full of AI noise, but what does it actually mean for how organizations innovate and learn? Dave and Peter revisit the classic pioneers-settlers-town planners model and discover something unexpected: AI has reversed the flow.

Where organizations once looked up the chain for scaling lessons, now large enterprises are watching small explorers to understand disruption, while entrepreneurs stitch together emerging technologies to solve real problems today. The old playbook doesn't quite work anymore.

We explore what this means for different types of organizations, why pretending to be a pioneer when you're not is a waste of time, and how to actually learn from what's happening in the marketplace instead of just making noise about it.

Key Takeaways:

1. The three-cohort model has flipped. In the AI era, large organizations are looking at what smaller explorers and entrepreneurs are doing, not the other way around. If you're not monitoring the marketplace to understand how others are solving problems with these technologies, start now.
2. Different organizations need different things from the AI landscape. Town planners should watch entrepreneurs for practical accelerators and explorers for early warnings about disruption. Entrepreneurs are stitching together emerging tech with real business problems to create immediate value.
3. Most established organizations aren't pioneering, and that's okay. If you have an HR department and multiple locations, you're not in the explorer space. Innovation labs aren't the same as true exploration. Understand which cohort you're actually in and learn accordingly.