Divergence Rate
The divergence rate is how far a compliant, sovereign or on-prem edition runs behind the commercial one: features shipped, the share that arrive late or never, and the lag. The architecture sets it, not the regulation.
The divergence rate is how far a compliant, sovereign or on-prem edition runs behind the commercial one: features shipped, the share that arrive late or never, and the lag. The architecture sets it, not the regulation.

A compliance boundary is approved as a certification and operated as a second release train. The cost nobody budgets is the divergence rate, and architecture sets it.
Three vendors use decision lineage for the reasoning behind a system’s conclusion. I use it for the human acceptance nobody records: who generated a change, how deeply it was reviewed, what it can break, and who owns the risk.

Verification tells you AI-generated code is sound. It cannot tell you who decided to accept the risk. The case for recording decision lineage in the merge path.

Layer commoditization is now consensus. The harder question is what a defensible AI business looks like afterwards: a vertical slice fusing data and workflow to a device fleet, a jurisdiction, or a regulatory regime.
Shipping a whole firmware image for every small fix is why devices in the field run old software. The case for modular package management, a standards-based management plane, and unprivileged containers at the edge.