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Two years ago, we spent 4 hours and 27 minutes hours dissecting decentralized IT models. Now, AI has changed everything or has it?
In this episode, Mike and Nate return to one of Season 1's most epic deep dives to ask a critical question: Has the AI revolution fundamentally altered how we should think about IT organizational models? (Hint: Maybe?)
The uncomfortable truth? AI simultaneously pushes companies in BOTH directions. It makes decentralization technically feasible (business units can now code, troubleshoot, and build without IT) while making centralization organizationally necessary (governance nightmares, cost explosions, and compliance chaos).
We explore:
- Why the four classic models (centralized, matrixed, decentralized, federated) still matter
- How AI is turning "shadow IT" into "shadow AI", and why it's worse
- The case for (and against) pulling cybersecurity, governance, and employee experience OUT of IT entirely
- Whether every employee should have Claude as their personal IT department
- Why 2028 might require a "verification economy" instead of traditional governance
- The prediction: Most companies will land on a federated model with centralized AI governance and distributed execution
The fundamentals haven't changed, but what HAS changed is our understanding that IT doesn't need to own everything (as if it ever did). The healthiest organizations will recognize what to control, what to influence, and what to let go.
Plus: Why Gemini 3.0 matters (or doesn't), the 5,000-calorie Shake Shack challenge, and whether we're all just one well-crafted prompt away from knowing as much as our bosses.
Episode runtime: 2+ hours of unfiltered IT leadership reality
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