Franklin AI Explainer

Reuters Institute survey finds wider AI use alongside continued unease

Key Takeaways

  • The Reuters Institute’s nine-country survey tracks generative AI use, with year-on-year comparisons limited to six countries.
  • The Reuters Institute's Generative AI and News Report 2026 examines how people use and view generative AI across nine countries.
  • Published on October 29, it describes growing use alongside continuing uncertainty about AI's role in news and other sectors.
  • What the adoption figures measure The report's year-on-year comparisons use the six countries included in earlier survey waves.
  • Within that comparable group, weekly use rose from 34% to 51%, while daily use rose from 16% to 28%.

The Reuters Institute's Generative AI and News Report 2026 examines how people use and view generative AI across nine countries. Published on October 29, it describes growing use alongside continuing uncertainty about AI's role in news and other sectors.

What the adoption figures measure

The report's year-on-year comparisons use the six countries included in earlier survey waves. Within that comparable group, weekly use rose from 34% to 51%, while daily use rose from 16% to 28%.

The distinction between the nine-country survey and the six-country trend is important. The percentages should not be presented as a measurement of the entire world, or as though all nine countries had been included in each earlier wave.

Use and confidence are different questions

The report examines attitudes as well as behaviour. Its findings describe enthusiasm for some applications alongside scepticism about others, including uses associated with politicians and news. Growing exposure to AI therefore does not, by itself, establish confidence in every application.

The authors also discuss AI appearing inside services people already use, alongside deliberate use of standalone systems. Those experiences can differ substantially. A person encountering an AI feature in a familiar product is not necessarily making the same choice as someone intentionally opening an AI assistant.

What the findings mean for publishers

For a publisher or product team, the useful response is to identify the particular job readers want help with and the evidence they need to trust the result. An aggregate adoption statistic cannot answer whether an individual article, feature or automated workflow is useful.

When citing the survey, preserve the country set, question and comparison period. The study is a public-opinion survey, not a survey of hundreds of newsrooms or a controlled test establishing a universal productivity increase. Its value lies in keeping usage, trust and expectations distinct.

Our read

Franklin AI Take

The report distinguishes a nine-country survey from trends measured in six recurring countries. That is a useful reminder for any automated publication: keep the denominator and comparison period attached to a statistic. Wider AI use is a reason to investigate specific reader needs, not evidence that every AI-generated feature or news format has earned trust.