Ed Zitron’s viral argument blames AI vendors for opacity. But 2026 governance data reveals a different story: organizations hide structural costs through fragmented accountability, shadow AI, and trust erosion more effectively than any vendor hides token costs. The real visibility gap isn’t pricing — it’s architecture.
The adoption gap you’re measuring—who gets AI access, how often they use it—is a structural problem. Three authority mistakes kill AI transformation before it starts: leaving decision rights unchanged, measuring activity instead of edge decisions, and treating governance as oversight rather than boundary design.
When authority exists but decision rights don’t, executives face a structural impossibility: defer or block. The solution isn’t better leaders—it’s boundary clarity.
Microsoft and Meta celebrate player-coach leadership as distributed authority. But proximity theater changes behavior without changing decision rights architecture. The result: appearance of trust without structural power.
