The Seattle Times and Newsday have filed suit against OpenAI and Microsoft, alleging that the companies used their journalism to train AI models without permission. The lawsuit argues that generative AI could make the journalism industry "broken beyond repair," describing the technology as "a snake eating its own tail" that could destroy the very organizations whose content it depends on.
What the lawsuit alleges
The core claim is that AI products like ChatGPT and Copilot are marketed as content producers but function as consumers, devouring human-authored journalism and returning derivative copies that compete with the original reporting for audience and revenue. The lawsuit argues that this dynamic threatens the economic model that sustains journalism, because the organizations that produce the reporting cannot survive if their content is consumed by AI systems that replicate it without compensation.
The language in the filing is unusually direct for a copyright lawsuit. It describes generative AI as rapacious, consuming original content to achieve commercial objectives while undermining the organizations that created it. The framing positions the issue not just as copyright infringement but as an existential threat to the business model of journalism.
Why the Seattle Times case is different
The Seattle Times lawsuit carries a particular irony. Microsoft and OpenAI have funded some of the organization's journalism projects and fellowships. The companies that are now being sued for using the organization's content without permission have also provided financial support for the organization's work. That relationship makes the lawsuit more complicated than a straightforward infringement case between strangers.
A Microsoft spokesperson told GeekWire that the company was surprised by the lawsuit but was always happy to sit down and explore solutions to this type of dispute. The response suggests Microsoft sees this as a disagreement that can be resolved through negotiation rather than litigation. Whether the Seattle Times sees it the same way depends on what solutions are on the table.
The growing pattern of news organization lawsuits
The Seattle Times and Newsday are the latest in a series of news organizations to take legal action against OpenAI and Microsoft. The New York Times filed its own suit in 2023, and other publications have followed as that case has continued. The pattern is consistent: news organizations allege that their copyrighted journalism was used to train AI models without permission, and those models now reproduce their reporting in response to user queries.
The economic argument underlying all these lawsuits is the same. When a user asks ChatGPT about a local event and receives a summary drawn from a newspaper's reporting, the user gets the information without visiting the newspaper's site. The newspaper gets nothing. The model has consumed the journalism and delivered it to the user in a format that captures none of the revenue that would have supported the reporting.
For the industry, the cumulative effect of these lawsuits is significant. If courts rule that training on copyrighted journalism constitutes fair use, the news organizations lose their primary legal leverage. If courts rule that it does not, AI companies face the prospect of either licensing the content they use or retraining their models without it.
What this means for AI development
For developers building on language models, these lawsuits create uncertainty about the training data behind the models they use. If courts order the destruction or retraining of models that incorporate copyrighted journalism, the models currently in use may change. Features that depend on the model reproducing or summarizing news content may break. The legal risk is not theoretical. It is active, with dozens of cases pending in courts across the country.
The practical response for developers is to be aware that the models they depend on are the subject of ongoing litigation, and that the outcome could affect model availability, capability, and cost. Building systems that assume current models will remain unchanged is a risk. The legal landscape is shifting, and the models may shift with it.
The Seattle Times lawsuit will take years to resolve. The outcome will shape not just the relationship between AI companies and news organizations, but the broader question of how AI systems are trained on copyrighted content and what obligations the companies that build them have to the creators whose work made that training possible.