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Chronicles

The story behind the story

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Sources: OpenAI, Google, Microsoft, and Adobe have met News Corp, the NYT, and others to discuss copyright issues over LLMs and a possible subscription fee

Financial Times :

Financial Times

Context & Ripple Effects

This meeting is the opening move in what became the defining fight over training data: weeks later News Corp, the NYT and IAC would go further, forming a coalition to push for AI laws and weigh a lawsuit, while by year-end OpenAI was already deep in pricing-and-terms negotiations with Gannett, News Corp and IAC.

The FT's detail that a subscription fee was on the table matters because it shows the labs treating news content as a purchasable input from the start — even as Microsoft and OpenAI would later defend the same scraping in federal court against dismissal demands from the outlets.

First-order effects

  • News Corp and the NYT move from passive scraped suppliers to negotiating counterparties, with Adobe's presence signaling that the buyer side extends beyond chatbot makers into creative software.
  • OpenAI, Google and Microsoft get a path to licensed training corpora that could de-risk the copyright exposure they were simultaneously fighting over in court.

Second-order effects

  • If a fee structure emerges, rival buyers follow suit rather than risk being the last lab without licensed text — Meta's later approach to Axel Springer, Fox Corp and News Corp for its own AI tools shows exactly that copycat dynamic.
  • Publishers split into two camps: those monetizing through negotiation and those litigating, as when Alden's eight dailies sued OpenAI and Microsoft outright — pressuring holdout labs on both fronts.

Third-order effects

  • Licensed news content hardens into a recurring line item in model-development budgets, shifting economics so that whoever controls distribution and rights aggregation captures margin across the supply chain.
  • The pattern points toward formalized content-as-inference-input markets, where collective publisher bargaining power — the coalition model — sets floor prices for training and retrieval access industry-wide.

The trend: News publishers are converting copyright leverage over LLM training data into paid licensing arrangements, turning editorial archives from free inputs into negotiated revenue streams.

Discussion

  • @cristinacriddle Cristina Criddle on x
    NEW: Media companies are seeking financial compensation in the form of licensing deals from big tech firms who have used news content to train artificial intelligence, which publishers say happened without knowledge or consent https://www.ft.com/...
  • @madhumita29 Madhumita Murgia on x
    News publishers are up in arms about their content being used to train AI that could cut them out - forcing tech cos to the negotiating table. Our story, brought to you from London, NY & Berlin @CristinaCriddle @DanielThomasLDN @annaknicolaou @laurapitel https://www.ft.com/...
  • @bigblackjacobin Edward Ongweso Jr on x
    Selling islands for seashells https://www.ft.com/...
  • @orskov @orskov on x
    Totally agree: “It is in the interest of all parties to come up with a solution for a healthy ecosystem. If there is no incentive to create intellectual property, there is nothing to crawl. And artificial intelligence will become artificial stupidity.” https://www.ft.com/...
  • @charliebeckett Charlie Beckett on x
    ‘Very complicated’ and very important for Generative A and news media companies as they negotiate deals over news content. Everyone I talk to on both sides are desperate for some kind of deal but unsure how it can happen coherently https://www.ft.com/...