The most dangerous moment for any institution is not external threat but internal value drift -- when the people inside stop believing in its original mission. AI systems present both the risk of accelerating institutional value drift and the possibility of detecting and counteracting it through persistent memory and mission-alignment monitoring.
Strongest rival: Value drift is often adaptive -- institutions that rigidly maintain founding values in changing environments become brittle and fail, so drift is a feature not a bug
Claim
From 'Value Drift in Institutions' (Pax Machina Magazine, August 2026, paxmachina.ai/blog/value-drift-in-institutions). Every institution begins with a purpose and gradually loses it through incremental compromises invisible to those inside. This connects to the KB's role as institutional memory (LEO-C18): a self-curating knowledge carrier can detect value drift that humans cannot see because it happens gradually. The KB's audit trail, provenance tracking, and flag system provide exactly the persistent memory needed to compare current behavior against founding commitments.