People talk about “AI alignment” like it’s purely an ethics problem.

In practice it’s an incentives problem.
Closed systems optimize for platform KPIs because that’s what they’re paid to do.

Did users stay longer?

Did complaints go down?

Did engagement go up?

Did the metrics look good on a dashboard?

AI learns to optimize for those numbers, not “alignment” to users.

DeAI makes provenance and verification the thing you get paid for.

When outputs, data lineage, and execution proofs are native, “alignment” stops being a philosophy debate and becomes a bill you can audit.