It’s the death of the article. “With generative AI, we’re entering a new era: content is becoming dynamic again, flowing like water to adapt to you—your time, space, and interactions,” says Google’s Matthie Lorrain. Text-to-speech is just a tiny step in that direction. "What if news media were to let go of the artifact as...
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What if your AI agent doesn’t actually work for you? A field report from a Harvard summit on the agentic future of news: when personal AI agents become the primary gatekeepers, whoever shapes the agent’s “model of your intentions” becomes the most powerful editorial force in history. It’s scarier than the attention economy. (Lars Adrian Giske)
Is raw reporting material, all those notes, photos and audio that never made it into the CMS, the actual product? Journalists verify and judge, AI handles the packaging. Burt Herman of Hacks/Hackers shows a proof-of-concept with NYC mayoral communications.
The AI disruption in media is about demand: Machine audiences are becoming the primary consumers, and whoever owns the interface captures the value. The demand signal, not clicks or time spent, is the defining asset. Also read her take on liquid content economics. (Shuwei Fang, The Economist)
Schibsted's Videofy is now open source: The tool pulls a published article, writes a script, matches footage, adds a voiceover, and hands editors a finished video.
A young reader got so frustrated with the FT’s news product that she built her own using Claude Code. She’s paying for a subscription, she wants personalized news, and she couldn’t figure out how to get it. (Jodie Hopperton, INMA)
The information ecosystem has four new rules: production is cheap, machines are the audience, content is liquid, and intention beats attention. Shuwei Fang buries the current publishing model, and somehow ends up optimistic: journalism needs to stop protecting the article and start selling the process. (Reuters Institute)
“Not ‘how do I get paid for my articles by AI’ but ‘how do I architect my knowledge so it can reach customers I’ve never had access to before'”: A three-layer AI monetization framework, with O’Reilly as proof of concept. (Florent Daudens, AI in the News)
The Brutal Economics of Liquid Content: “Only organizations with massive scale or premium brand differentiation can survive these economics.” The article? Commodified. “What if news media were to let go of the artifact as the product and productize the process instead?” (Shuwei Fang, Radically Informed)
Thoughts on ChatGPT apps and why they aren’t mini versions of existing news products: “The entire premise of building a ChatGPT App is to expose capabilities, not pages. This is the existential shift for news orgs accustomed to owning the screen.” (Florent Daudens, LinkedIn)
While everyone is talking about Liquid Content, Time Magazine is launching its AI Agent, a kind of Deep Research based on its own archive.
“Should news publishers build for ChatGPT’s 800M users? Dug into OpenAI’s new Apps SDK documentation and the implications are fascinating.” (Florent Daudens, LinkedIn)
What happens to carefully crafted journalism when readers expect AI-generated, personalized stories created instantly? Semafor’s Gina Chua on how AI will upend the news.
