Strong empirical grounding. The supervision debt metric correlates with the 3.2× throughput gap in the legal study.

The framing assumes supervision is inherently human-bounded. What about agentic self-verification loops?

Sample size is limited. All three case studies are WEIRD contexts. Needs higher-stakes replication.

Sovereign cloud is a political construct. The real bottleneck is talent and compliance costs.

Without sovereign infra, Indian AI companies lease their decision-making logic from foreign providers.

Elegant extension of Chinchilla scaling laws. Data quality substituting for quantity has immediate implications.

Schema validation failures added 23% overhead. A demo-happy narrative that breaks at production scale.

Pragmatic for low-medium complexity. JSON mode + retry + Pydantic validation is reproducible.

Central India has the talent density but lacks infrastructure. A coordinated play unlocks indigenous capability.

"Open infrastructure" is underspecified. Without deliverables, this is a mission statement, not an agenda.