How we look at it
Industry
Audiences have more choice than ever and switching costs are virtually zero. Building engagement, loyalty and relevance requires a deep understanding of constantly changing consumer behavior.
AI is rapidly becoming part of the media value chain, from content creation and distribution to personalization and analytics. The challenge is leveraging its potential while preserving originality, editorial integrity and trust.
The demand for content continues to grow across every channel and format. Generative AI helps creative and editorial teams accelerate production, repurpose existing content and focus their time where human creativity adds the most value.
Audiences expect content that feels relevant, timely and tailored to their interests. Better recommendations, personalization and audience intelligence help media organizations strengthen engagement and build loyalty.
Media organizations sit on a wealth of valuable content, often accumulated over years or even decades. AI helps improve content discoverability, unlock archive value and identify new monetization opportunities across platforms and audiences.
AI can help media organisations turn large volumes of video content into structured, searchable information. VRT uses AI to automatically identify and create chapters in TV programmes, making content easier to navigate and reuse.
More than ever. As synthetic media becomes more sophisticated, AI is increasingly used to detect altered images, video content and suspicious patterns before they spread.
More than ever. Modern audiences expect relevant content, recommendations and experiences. Personalization and recommendation engines help improve engagement, retention and audience loyalty.
A fair question. AI can support content creation, research and distribution, but editorial judgment remains essential. The most successful media organizations use AI to augment human creativity, not replace it.
Absolutely. AI helps uncover patterns in audience behavior, content consumption and engagement. Better audience analytics make it easier to understand what resonates and why.
That's actually one of its strongest use cases. AI-powered media asset management helps classify, tag and retrieve content faster, making archives more accessible and valuable.
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