Publication: AI Journal
Date: December 18, 2025
Your org chart may be your biggest AI bottleneck. Most companies are investing heavily in AI tools while leaving intact the management layers that were designed for a world before AI, and those layers are quietly throttling the speed, output, and talent that AI makes possible.
In a contributor article for AI Journal, SoftSnow Founder and Co-CEO Larry Fisher makes a compelling, first-hand case for why traditional hierarchies and AI-first operations are structurally incompatible.
For any leader navigating AI transformation inside an established enterprise, this is the article that names the friction you're already feeling, and gives you a concrete roadmap to address it.
Key Highlights:
- How AI eliminates the coordination and information-flow functions that justify multiple management layers
- Why companies that restructure now have a 12–18 month learning advantage over those that wait
- The ADKAR change management framework applied practically to AI organizational transformation
- Why data problems surface faster—and get fixed faster—in flatter organizations
- The role leaders must play personally: why AI transformation cannot be delegated
The article introduces a leadership-first model of AI transformation that mirrors SoftSnow's own approach. It also directly addresses data readiness as an accelerant, a core pillar of SoftSnow.
"The transformation is happening whether we're ready or not. The question is whether we're shaping it intentionally or letting it shape us." — Larry Fisher, Founder and Co-CEO, SoftSnow
