The Octopus Organization and the Future of AI

Most organizations are trying to adopt AI using structures, processes, and leadership models that were built for the industrial age. And that may be the biggest obstacle standing in the way of transformation. In this episode of Leading Change in the Wild, I sit down with Jana, co-author of The Octopus Organization, to explore why traditional organizations struggle with change and what leaders need to do differently in the age of AI. From bureaucratic decision-making to AI adoption metrics that drive the wrong behavior, this conversation dives into the patterns holding organizations back and the leadership shifts required to move forward. Here’s what we unpack: The difference between a "Tin Man" organization and an "Octopus" organization Why traditional organizational structures struggle in today's environment The anti-patterns preventing successful AI adoption The dangers of chasing AI adoption metrics instead of business value Why leaders need to personally experiment with AI before expecting their teams to adopt it The role of distributed intelligence and decentralized decision-making How to move from AI hype to meaningful business transformation Why speeding up a bad process is not transformation The takeaway is clear. AI does not just challenge technology strategies. It challenges the way organizations are designed. Because the companies that thrive will not be the ones with the most AI tools. They will be the ones that learn, adapt, and empower people to solve real problems. 📚 The Octopus Organization by Jana and Phil is available now! 👇 Let’s discuss: Which anti-pattern do you see most often in organizations today? Are companies focusing too much on AI adoption and not enough on value creation? What would it take for your organization to become more adaptive? 🔔 Subscribe for weekly insights on digital transformation, leadership, and emerging technologies.