Why AI won't save media without fixing the infrastructure underneath

What happens when a journalist turned Amazon product manager becomes the Chief AI Officer of one of the world's largest international broadcasters? You get someone who sees the AI threat to media not just as a distribution problem, but as a full production chain crisis that requires a fundamentally different organizational architecture.

Marie Kilg, Chief AI Officer at Deutsche Welle, makes the case that legacy media's survival depends on something most AI transformation conversations ignore: data interoperability across systems that were never designed to talk to each other. With 32 languages, siloed editorial teams, and decades of layered organizational structure, Deutsche Welle's path to an AI-powered content flywheel starts at the infrastructure layer, not the model layer.

Topics Discussed:

• Why AI threatens the full media production chain, not just distribution

• The flywheel model: feeding audience data back into editorial decisions

• Data interoperability as the core prerequisite for AI at scale in media

• Why "push a button and AI does it" expectations are damaging real implementation

• How metadata automation surfaces hidden infrastructure debt

• Organizational change mechanisms vs. culture change in large public broadcasters

• Tech companies underestimating journalism as a discipline