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AI-native means the model produces the first pass and people review and decide; AI-assisted means a person produces the work and reaches for a model to speed up part of it. Same tools, different centre of gravity. Here is the distinction, a comparison table, and a short diagnostic for telling which one your team actually is.
Across the media tasks I have watched, AI does roughly 75–80% of the work — most in production, assembly, and pattern-finding, least in negotiation, relationships, and final judgment. It is a heuristic for finding the 20% you must keep human, not a benchmark. Here is the shape of it, and how to audit your own tasks.
Automate high-volume, low-judgement, reversible tasks first, and keep low-volume, high-judgement, irreversible ones human. The workflow audit sorts every task on frequency, judgement, and reversibility. Most teams automate the wrong things because they pick by how easy the tool looks, not by how the work behaves.
A prompt library tells people what to type. An operating model tells them what to automate, what to keep human, how work moves between the two, and who is accountable for the output. Only one of them compounds. Most teams that believe they have an AI strategy actually have a prompt library.