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Seattle Times and Newsday Join Lawsuit Against Microsoft and OpenAI, Alleging AI Training on Journalistic Content

Two major news organizations sue Microsoft and OpenAI over alleged unauthorized use of journalism in AI training.

On September 5, 2026, The Seattle Times and Newsday formally filed a lawsuit against OpenAI and Microsoft, becoming the latest news organizations to challenge the AI training data practices of the tech giants.

  • Plaintiffs: The Seattle Times and Newsday (two major regional U.S. newspapers)
  • Defendants: OpenAI and Microsoft (OpenAI’s primary investor and technology partner)
  • Allegation: Copyright infringement — accusing the companies of using journalistic content for AI training without authorization
  • Notable Context: The Seattle Times received funding and fellowship support from Microsoft and OpenAI — creating a striking irony in the lawsuit

The complaint warns that generative AI, if left unchecked, could render the journalism industry “broken beyond repair” and describes the current dynamic as a “snake eating its own tail,” with AI consuming the very content that sustains its development.

The lawsuit contends that products like ChatGPT and GitHub Copilot, while marketed as content creators, are in reality “rapacious consumers” that “devour human-authored content” to achieve commercial objectives, then return derivative imitations to the public.

According to the filing, AI training systems rely heavily on large datasets of human-written text. News articles, with their factual rigor, structured narratives, and high-quality language, are seen as valuable training resources — yet the complaint asserts this use lacks permission, compensation, or proper attribution.

The most ironic element lies in the prior partnership: Microsoft has financially supported The Seattle Times’ journalism initiatives and fellowship programs, aiming to bolster local news infrastructure. Now, the same organization finds itself suing those very partners over content used in AI training, highlighting deepening tension between corporate tech partnerships and journalistic independence.

Precedent and Escalation: From The New York Times to Broader Industry Action

In 2023, The New York Times initiated the first major copyright lawsuit against OpenAI and Microsoft, accusing them ofMass-using subscription content to train GPT models. That case remains ongoing, serving as a lead test for legal theories now being extended to regional publishers.

The Seattle Times and Newsday’s filing represents a clear escalation — moving from national consolidation to broader industry mobilization, indicating mounting concern about systemic asymmetries in the AI value chain.

Products specifically named in the complaint include:

  • ChatGPT: Public-facing conversational AI system
  • GitHub Copilot: AI-powered coding assistant co-developed by Microsoft and OpenAI

While the lawsuit does not specify a damages amount, it invokes copyright law allowing statutory damages of up to $150,000 per infringed work — potentially multiplying into significant sums if systemic infringement is proven.

Industry Impact and Corporate Response

Microsoft has responded via GeekWire, stating it is “surprised by the lawsuit” but remains “always happy to sit down and explore solutions.” This softer tone contrasts the firm stance observed during earlier litigation, signaling growing business awareness of local media’s维权 (rights-defense) capabilities.

Courts will now confront pivotal questions: Does AI training qualify as “fair use” under U.S. copyright law? Do existing legal frameworks adequately address machine learning’s unique challenges? Where should the line be drawn between technological innovation and content appropriation?

Practical Guidance for Readers

  • Journalists and content producers: Review licensing agreements carefully to determine whether AI training rights were previously granted; assess legal options and potential collective strategies
  • AI builders and developers: Re-evaluate data provenance — public availability does not equate to training authorization; prioritize ethically sourced, explicitly licensed data or synthetic alternatives

Final Thoughts

Legal battles alone won’t fix broken business models, but they force a reckoning: AI’s growth must be aligned with the sustainability of its information ecosystem. When the foundation — quality journalism — is hollowed out in the name of progress, the entire industry bears the risk of systemic collapse.