Distributing where models run is only half the move.

The harder work is designing the operating model so the organization can actually use that flexibility when conditions change.

Most companies will still lock themselves in—through exclusive vendor contracts, tightly coupled workflows, annual budget cycles that cannot reallocate, and decision rights that sit too far from the signal. Having on-device, multi-chip, or open-weight options means little if teams cannot switch paths without months of approvals, political cost, or rework.

Frame the real test this way: optionality must live in architecture and in capital allocation, decision rights, and incentives. Reversible commitments. Staged funding. Guardrails that differ by consequence. A learning cadence that treats a forced switch as useful evidence rather than failure.

The companies that treat distributed intelligence as an operating-system problem—not only a placement problem—will compound advantage. The rest will simply own more locations and still freeze when the environment moves.

Reposted with commentary. View the reposted item ↗