Seattle Times and Newsday sue Open AI and Microsoft: Intellectual property lawsuits expose consumption of journalistic content

The newspapers “Seattle Times” and “Newsday” have joined the series of lawsuits filed against “Open AI” and “Microsoft,” in a new case accusing technology operators of exploiting their journalistic output without permission to train generative models. This step places the publishing industry before a renewed legal confrontation over the use of human content, considering that unchecked expansion in training AI tools threatens to render the news sector unable to continue or recover.

The lawsuit states that generative artificial intelligence has become like a snake eating its own tail, warning that these models may destroy the very institutions that produce the original content they feed on. The legal filing affirmed thatProducts such as “ChatGPT” and “Copilot” are marketed as content-creation tools, but in reality they are voracious consumers that devour human creativity and republish derived copies and excerpts to achieve commercial objectives..

This lawsuit carries particular weight because the “Seattle Times” has prior financing relationships with the defendants, having received grants and sponsorships from both “Microsoft” and “Open AI” for a number of the institution’s projects and journalism fellowships. In an official statement, a Microsoft spokesperson said the company was surprised by the suit but remains open to sitting down and discussing amicable solutions to the dispute, a stance that reflects the developers’ desire to contain the crisis through settlements rather than abandoning training methods.

This move reopens the path initiated by the “New York Times” in 2023 when it sued the two companies on the same allegations, after which media organisations filed additional lawsuits. The succession demonstrates that the intellectual-property and model-training dilemma is no longer a fleeting dispute but has become an extended conflict over data-governance rules and ownership rights, as major newsrooms seek legal and financial recognition of the value of their knowledge output.

For media organisations, publishing houses and content creators in the Gulf, Egypt and the Levant, this scenario carries decisive strategic implications. Newspaper archives and written Arabic content constitute the core resource for training language models to understand cultural specificities and local dialects. With the accelerating pace of global disputes, Arab institutions must reassess digital publishing rights for their data and archives, moving from a stage of free content availability to drafting paid and fair licensing agreements that ensure the sustainability of newsrooms and protect knowledge-production rights.

At the same time, this legal trajectory forces tech teams and companies that rely on “Open AI” and “Microsoft” models in the region to conduct a thorough review of compliance policies and risk management. Full reliance on commercial systems embroiled in intellectual-property disputes may expose institutions to unforeseen regulatory and legal consequences. Accordingly, the need emerges to develop local, sovereign models and train them on clearly vetted and licensed data sets, thereby protecting the digital infrastructures of regional organisations from the volatility of international legal disputes.