"Publishers' adoption of generative AI is reducing the friction between content and format, making it easier for the same story to appear as shorter summaries, audio, or video, often in real time. To some publishers, a text article may soon be more of a vehicle for original reporting, not a final product. That information could become no longer available strictly in a static piece of content, but transformed into different shapes and formats, based on a reader's signals and preferences."
"The term gained legitimacy when it was included in a recent report on journalism, media and tech predictions from the Reuters Institute for the Study of Journalism published on Jan. 12. Here's how the report defines liquid content: "content or stories that are not static but adapt in real time based on the viewer's context, location, time, or interaction. AI facilitates this by tailoring content to individual preferences. Requires traditional media companies to move away from authoring 'articles' towards more flexible atomic objects.""
Generative AI is reducing friction between content and format, enabling the same story to appear as shorter summaries, audio, or video, often in real time. Text articles may become vehicles for original reporting rather than final products, with information transformed into different shapes and formats based on reader signals and preferences. Liquid content describes stories that adapt in real time to viewer context, location, time, or interaction, with AI tailoring content to individual preferences. This approach treats content as structured knowledge or atomic objects that flow into multiple formats and interfaces, requiring publishers to shift production workflows.
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