Most enterprises describe themselves as AI-adopting. Very few can honestly describe themselves as AI-literate. The distinction matters.
Adoption is transactional: tools deployed, pilots launched, use cases delivered. Literacy is institutional: an organisation-wide capacity to reason clearly about what AI can and cannot do, how it fails, and how it should be governed.
Institutional AI literacy rests on four pillars: strategic clarity at the board level, operating discipline in delivery, technical fluency in the executive team, and ethical grounding across the workforce. Each pillar reinforces the others.
Boards that focus only on adoption will find themselves unable to govern the systems they have licensed. Institutions that build literacy first will govern AI as competently as they govern capital.