---
title: "Seattle Times and Newsday Sue OpenAI and Microsoft Over AI Training"
description: "Two major U.S. newspapers have filed a federal lawsuit alleging the tech giants used their copyrighted journalism without permission to train AI models."
url: "https://www.dreamlaunch.studio/news/seattle-times-newsday-sue-openai-microsoft-ai-training"
---

The Seattle Times Co. and Newsday filed a federal lawsuit against OpenAI and Microsoft on September 4, 2026, accusing the technology companies of using their copyrighted journalism to train and operate artificial intelligence systems without permission or payment. The complaint, filed in the U.S. District Court for the Southern District of New York, marks a significant escalation in the legal battle between news publishers and AI developers, as reported by [TechCrunch](https://techcrunch.com/2026/09/05/seattle-times-and-newsday-are-the-latest-publications-to-sue-openai-and-microsoft/).

The lawsuit alleges that OpenAI and Microsoft scraped hundreds of thousands of articles from The Seattle Times and Newsday, bypassing paywalls and ignoring terms of service restrictions, to feed their AI models. The publishers contend this constitutes copyright and trademark infringement. The complaint states that the AI models ingest and can reproduce the journalism, often verbatim, without providing compensation to the organizations that invested in its creation.

In a stark warning about the stakes for the news industry, the lawsuit argues, "Like a snake eating its own tail, GenAI that is trained on painstakingly researched, expensive-to-produce content threatens to destroy the very news organizations by competing directly with them through AI-generated substitutive content." It adds, "If Defendants are allowed to succeed, independent journalism of the kind Plaintiffs produce will struggle to survive."

The legal action seeks financial damages for the alleged infringement. Beyond monetary compensation, the publishers are asking the court for a particularly consequential remedy: the destruction of any AI training datasets, and potentially the models themselves, that were built using their copyrighted content.

## Broader Context of an Escalating Legal Front

This lawsuit is not an isolated event but part of a rapidly expanding legal and regulatory conflict reshaping the generative AI industry. Major media organizations worldwide are challenging the foundational practice of large-scale web scraping used to train AI models, arguing it constitutes copyright violation rather than fair use. The case adds another prominent front to a battle that includes lawsuits from other publishers, authors, and content creators.

The involvement of The Seattle Times introduces a notable dynamic, as it is suing two of the most powerful technology companies in its own backyard. Microsoft is headquartered in Redmond, Washington, just miles from The Seattle Times' newsroom, highlighting how the tensions between local journalism and global tech giants are playing out even in regions where both industries are major employers and institutions.

Furthermore, the lawsuit underscores a critical economic concern for the news industry. Publishers argue that AI companies are free-riding on their substantial investments in reporting, editing, and fact-checking. By using this content to create AI systems that can then summarize news or answer questions, the AI models potentially divert audience traffic and subscription revenue from the original sources. This case frames the conflict not merely as a technical copyright dispute but as an existential threat to the business model supporting independent journalism.

The demand for the destruction of datasets or models trained on the contested content represents a maximalist legal position. It signals the publishers' intent not just to be paid retroactively but to challenge the very legality of how these AI systems were built. A court order to that effect would have seismic implications for OpenAI, Microsoft, and the broader AI industry, potentially forcing the retraining of models without access to vast swaths of the internet's written content.

As this and similar cases progress through the courts, they are poised to establish crucial legal precedents that will define the boundaries of fair use in the age of artificial intelligence. The outcomes will directly influence how AI companies source their training data and whether content creators will have a veto or a price tag attached to the use of their work in developing the next generation of automated systems.