Understanding AI Chatbots for News
The first subject we associate with AI chatbots might be work productivity, web search, product reviews, or topic research. Or maybe we’re creating an image, video, or post. But we probably don’t think about AI chatbots for news. In fact, a significant portion of users already use AI chatbots for news and those numbers are bound to grow.
Below we look at the article “Emerging uses of AI chatbots for news and what it means for journalism” by Dr. Amy Ross Arguedas from the Reuters Institute Digital News Report 2026. The piece discusses the rise of standalone generative AI chatbots for news, like ChatGPT and Google Gemini. It explains how a growing subset of the public accesses and engages with news and how this is a fundamental shift in news consumption.
Here are some of the article’s key findings:
Rising Adoption and Demographics
While publishers have primarily focused on using AI to produce content, consumers are increasingly using AI chatbots directly to get their news.
- General AI Growth: Weekly use of generative AI tools across six major markets grew from 18% in 2024 to 34% in 2025 (“Generative AI and news report 2025”).
- AI for News: Global weekly use of AI chatbots specifically for news has increased from 7% to 10% since last year. However, this usage constitutes a complementary source of news, as only 1% of respondents report that AI is their main source of news.
- Age and Adoption: Uptake is largely driven by younger audiences. 17% of 18–24-year-olds use chatbots for news, which is more than three times higher than the 55+ age group (5%). The fastest growth was seen among 25–34-year-olds, growing 4% from last year to 15%.
- User Engagement: AI news consumption is highest among intensive “news lovers” (18% of those who consume news 10+ times a day use AI, compared to 7% of those who check the news once a day) and those on political extremes (16% of the “very left-wing” and 15% of the “very right-wing”).
The Role of Trust
A major factor in whether people use AI chatbots for news is whether they trust the technology, which yields a stark contrast between users and non-users:

- Overall Trust: Amidst already low general trust in news (37%), only 20% of the global general population trusts news generated by AI chatbots.
- The Familiarity Gap: However, 44% of active AI chatbot users express trust in the news they receive from the technology, compared to just 17% of non-users.
- Trust vs. Usage Correlation: There is a remarkably strong relationship (R² = 0.81) between trusting AI chatbots and using them for news at the market level. This correlation is much tighter than the relationship between trust and usage of social media for news (R² = 0.49).
How and Why People Use AI for News
Consumers are moving beyond traditional news consumption, utilizing AI to interact with, evaluate, and simplify the news.
- Top AI News Uses: Among those who use AI chatbots for news, the most common activities are
- Asking follow-up questions about a news story (42%)
- Asking for the latest news (35%)
- Summarizing stories (34%)
- Evaluating a news source (33%)
- Making a news story easier to understand (30%)
- Geographic Variations: Asking follow-up questions is the primary use in 33 of the 45 surveyed markets. However, in Asian markets like Taiwan, simply “getting the news” is the primary use, whereas users in Canada and the UK favor “summarization.”
- Key Motivations: When asked why they turn to AI for news, the top motivation is wanting more depth or explanation (42%). Other significant motivations include the belief that AI is faster than other news sources (39%), its ability to summarize complicated stories (36%), the confidence that it will answer any question (35%), and its ability to compile stories from multiple news outlets into a single response (35%).
Conclusions
The data from the “Emerging uses…” article suggests a number of interesting conclusions. First is the familiarity gap which illustrates that once people start using AI for news, they tend to trust it more.
As trust in AI grows, it’s reasonable to expect use of AI chatbots for news to grow as well. Adoption might stall if there’s a financial crisis in the AI sector, for example. But as long as advancements in LLM reasoning continue, models’ accuracy should steadily improve and hallucinations should decrease. Overall then, accuracy increases over time and this should contribute to user trust and increased use of AI chatbots for news. 🟩
Featured image by Japanexperterna.se via Wikimedia Commons. Article image by AHollender via Wikimedia Commons. Article opinions are those of the author and do not necessarily reflect the views of CivicHaven.
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