The gradual divergence of meaning that occurs when a concept is used across multiple systems, teams, or domains without shared governance.
Semantic Drift
In Context
Semantic drift is not a failure of communication but a natural consequence of organizational complexity. Left unmanaged, the small divergences compound, and what accumulates is semantic debt — a widening gap between what people believe a term means and what it actually means in their systems.
Read More
For examples and the role of AI, see the essay Semantic Drift.
Why This Matters
When people, systems, or AI use the same term differently, decisions begin to diverge — often invisibly, until the gap surfaces as conflict, rework, or risk.
See It In Practice
How the same term — “Risk” — is understood differently across domains:
- Compliance
- → Regulatory exposure
- Operations
- → Operational failure
- Finance
- → Financial uncertainty
- Cybersecurity
- → Threat likelihood