The Knowledge Paradox
The Knowledge Paradox is the catch-22 where the companies that would benefit most from AI are the ones least prepared to use it, because their internal knowledge is trapped in people's heads rather than written down in a way a computer can understand.
The Knowledge Paradox describes the operational failure where organizations with the highest need for Sovereign Command lack the legible data substrate required to initialize it. Because their institutional knowledge remains tacit and un-encoded, they cannot effectively prompt or train AI systems, necessitating a 'Spec Loop' approach where the focus shifts from output generation to the systematic formalization of internal specifications.
The bind that the orgs most needing Sovereign Command cannot fill CAGE's Context (their substrate is tacit and un-encoded); resolved by the Spec Loop - fix the specification, not the output, so legibility compounds. (C4AIL.)