Glossary entry
The difference between the value organisations expect from AI and the value they can actually verify in operating performance.
Why it matters
The AI Value Gap matters because organisations can scale platform cost, vendor commitments, and operational complexity before they establish enough visibility, ownership, and proof to justify continued investment.
The term is especially useful for executives because it shifts the conversation from model quality alone to whether the enterprise can observe, own, and defend the economics of the capability.
For a fuller framework, see the flagship essay on The AI Value Gap.
Follow the threads that connect AI cost, value, governance, and operating discipline.
