AI becomes the main gateway to news in the UK, says Ofcom’s 2026 News Report

According to the News Report 2026 released by Ofcom and covered by both Emerce and LBC, 21 % of adults in the United Kingdom have used an AI‑driven application or service to view or listen to news in the month prior to the survey. This marks a clear shift from traditional news channels toward algorithmic gateways that curate stories based on user queries, preferences or even voice prompts.

ChatGPT emerges as the most frequently mentioned AI service, cited by 13 % of all respondents. The uptake is especially pronounced among younger adults and households with higher disposable income, suggesting that digital fluency and access to premium devices are key drivers of this trend.

Trust remains a stumbling block. While usage climbs, 56 % of participants say they trust a human‑written article more than a news summary generated by AI. This gap between adoption and confidence underscores the need for transparent attribution and clear editorial standards when AI is involved in news production.

How people reach the news

Social media platforms and video services continue to act as the dominant intermediaries. Overall, 60 % of adults report accessing news through an online intermediary, with the figure rising to 78 % among 16‑24‑year‑olds and 12‑15‑year‑olds. Facebook accounts for 39 % of these encounters, YouTube 33 %, TikTok 20 % and Instagram 26 %, according to Emerce’s breakdown.

Nevertheless, 57 % of adults still go directly to the websites or apps of news organisations, while only 2 % rely exclusively on social networks for their news intake. This indicates that while AI and social platforms are increasingly important, traditional publisher portals retain a solid foothold.

Time spent on news and the role of AI

The average adult now spends 72 minutes per day on news‑related content, up from 61 minutes a year earlier. Of that time, 37 % is devoted to content discovered via online intermediaries, a figure that includes AI‑curated feeds and recommendation engines. By contrast, television’s share of daily news consumption has fallen from 31 % to 25 %, reflecting a broader migration toward digital and on‑demand formats.

It is important to note that a large portion of the material users encounter through AI tools still originates from established media outlets. The AI does not create new reporting; it repackages existing articles, extracts key points, and delivers them in a conversational format. Consequently, the line between the discovery channel, the original source and the author of the AI‑generated summary can become blurred for the average reader.

What publishers need to do

The report offers a clear set of recommendations for news organisations that want to stay relevant in an AI‑driven ecosystem:

• Provide machine‑readable attribution metadata, including the original URL, author name and publication date.
• Include clear correction notices and timestamps that AI systems can parse and display alongside generated summaries.
• Design content layouts that allow AI to extract context without misrepresenting the original story.
• Offer open APIs or structured data feeds that enable trustworthy AI platforms to pull accurate information.

For readers, the advice is equally straightforward: always verify the source of an AI‑summarised story, especially during elections, public health crises or other high‑stakes events. Checking the original article, confirming the author’s credentials and looking for any correction notices can help mitigate the risk of misinformation spreading through automated channels.

Implications for businesses and institutions

Companies and public institutions that communicate with English‑speaking audiences should treat AI as a complementary distribution channel rather than a replacement for traditional publishing. Embedding rich metadata, maintaining up‑to‑date press releases and ensuring that content is easily discoverable by AI crawlers will improve visibility while preserving editorial integrity. Moreover, training staff to understand how AI summarisation works and to audit the output for accuracy will become a core competency as the technology matures.