Seattle Times and Newsday Sue OpenAI and Microsoft Over AI Copyright Infringement
Two major U.S. newspapers filed a federal lawsuit against OpenAI and Microsoft on September 4, 2026, accusing the technology companies of systematically scraping their journalism to train and operate AI products without permission or payment. The 38-page complaint, filed in the U.S. District Court for the Southern District of New York, represents the latest escalation in the ongoing legal battle between news publishers and AI companies over the use of copyrighted content.
The lawsuit arrives at a critical moment for the search and content industry. As AI-powered search tools like ChatGPT, Microsoft Copilot, and Bing's AI features increasingly provide direct answers to user queries, publishers are seeing dramatic declines in the referral traffic that has long sustained their business models. The Seattle Times and Newsday are seeking not just damages but the destruction of training datasets and AI models that incorporate their work—a remedy that could reshape how AI companies approach content licensing.
Background and context
The complaint emerges against a backdrop of mounting legal pressure on AI companies over training data practices. The New York Times filed a similar lawsuit against OpenAI and Microsoft in December 2023, accusing them of using millions of its articles without authorization. That case remains ongoing and has become a bellwether for the broader industry.
Since then, the legal landscape has expanded considerably. Daily newspapers owned by Alden Global Capital sued OpenAI in 2024. A coalition of 35 publishers representing more than 400 community newspapers filed suit in 2025. Anthropic reached a $1.5 billion settlement last year with authors and publishers who accused it of using copyrighted books to train its Claude models.
The Seattle Times and Newsday lawsuit adds two new dimensions to this legal wave. First, it introduces trademark dilution claims, alleging that OpenAI's models have generated fabricated content falsely attributed to the newspapers—a claim that goes beyond copyright to address reputational harm. Second, the timing coincides with a U.S. Department of Justice filing that has sided with AI companies on the fundamental question of whether training on copyrighted material constitutes fair use.
What changed — specific details
The complaint alleges that OpenAI and Microsoft scraped the newspapers' websites, including content behind paywalls, and incorporated articles into datasets used to train and operate products including ChatGPT, Microsoft Copilot, and Bing's AI features. According to the filing, the companies' AI products can reproduce passages from the newspapers' reporting, closely paraphrase articles, and provide users with answers that reduce the need to visit their websites or purchase subscriptions.
The newspapers cite industry data showing that search referral traffic to midsize publishers declined by 47 percent year over year in December 2025. While this figure encompasses all search engines and not just AI-powered tools, it underscores the economic pressure facing news organizations as user behavior shifts toward conversational AI interfaces that synthesize answers rather than linking to original sources.
The relief sought is unusually aggressive. The Seattle Times and Newsday are asking the court to order the "impoundment and/or destruction" of datasets and AI models that include their articles. This goes beyond typical copyright remedies, which usually focus on monetary damages or injunctions against future use. Destroying trained models would require AI companies to either retrain from scratch without the disputed content or negotiate licensing agreements.
Seattle Times President and CEO Alan Fisco announced the suit in an email to employees on September 4, calling it "not an easy decision." He wrote that the company must defend its content, which it spends millions of dollars a year to produce, from being used without consent or compensation. Fisco emphasized that the lawsuit was "not about impeding AI innovation" but about ensuring that innovation does not come at the expense of the newspaper's business model.
Newsday spokesperson Tara Rogers said in a statement that while both organizations support responsible AI innovation, it is imperative to protect the significant investments they have made in their content. Newsday and The Seattle Times are privately owned news organizations based on opposite sides of the country—in Long Island, New York, and Seattle, respectively.
Impact and implications
For SEO and content professionals, this lawsuit highlights the growing tension between traditional search optimization and the rise of AI-powered answer engines. The 47 percent decline in search referral traffic reported by midsize publishers suggests that the shift toward AI-generated answers is already having measurable economic impact on content creators.
The case also raises questions about how AI search tools attribute sources. If AI models can reproduce passages or closely paraphrase articles without providing clear attribution or links, publishers lose both traffic and the brand recognition that comes from being cited as an original source. This has implications for GEO (Generative Engine Optimization) strategies, which must account for how AI systems select, synthesize, and credit source material.
The trademark dilution claim adds another layer. If AI models generate fabricated content that is falsely attributed to real news organizations, it creates reputational risk not just for the publishers but for users who may encounter misleading information presented under a trusted brand name. This could influence how AI companies approach source attribution and hallucination prevention in their products.
The DOJ's September 1, 2026 filing in the New York Times case complicates the legal picture. The department argued that AI development is a matter of national interest and that a finding of copyright violation would stifle scientific progress while hindering American prosperity and economic mobility. The filing contended that the creative possibilities and potential benefits of AI models far outweigh any competitive harm from training on publishers' content.
If courts adopt this position, it could fundamentally alter the economics of content creation for search. Publishers would have limited legal recourse against AI companies using their work, potentially accelerating the shift toward licensing agreements or alternative revenue models.
Industry reaction and expert perspectives
Microsoft responded to the lawsuit with a statement expressing surprise and emphasizing the company's appreciation for local journalism. "While we're surprised by the lawsuit, we appreciate the importance of local journalism and we're always happy to sit down and explore solutions to this type of dispute," a Microsoft spokesperson said in an emailed statement.
OpenAI took a different tack, defending its training practices on fair use grounds. A company spokesperson said its models are trained on publicly available data and grounded in fair use, adding that this approach helps hundreds of millions of people improve their daily lives and delivers benefits such as empowering human creativity, science, and medical research. OpenAI did not comment specifically on the lawsuit.
The Seattle Times disclosed that Microsoft Philanthropies underwrites some of its journalism projects and that it received a grant from The Lenfest Institute for Journalism for an AI fellowship program funded with $10 million from Microsoft and OpenAI. The newspaper said it does not use AI to generate stories.
Historical precedent
The Seattle Times and Newsday lawsuit follows a pattern established by The New York Times' 2023 filing, which accused OpenAI and Microsoft of using its stories to develop AI models. The companies have argued in that litigation that their technology trains on copyrighted work and generates new material in a manner permitted under copyright law's fair use doctrine.
The Anthropic settlement provides a recent precedent for resolution outside the courts. The $1.5 billion payout to authors and publishers who accused Anthropic of using copyrighted books to train Claude suggests that AI companies may be willing to negotiate licensing agreements to avoid protracted litigation, particularly when faced with organized groups of rights holders.
However, the scale and nature of news content differs from books. News articles are time-sensitive, produced at high volume, and often rely on search traffic for distribution and revenue. The economic dynamics may make news content more contentious than book publishing, where backlist sales and advance payments provide different revenue structures.
What has not been confirmed
Several key questions remain unresolved. The court has not yet ruled on whether the scraping of paywalled content constitutes copyright infringement or falls under fair use. The trademark dilution claim is novel in the AI training context, and its success could depend on how courts interpret the relationship between AI-generated content and the brands it may reference.
The DOJ's position favoring AI companies is a statement of interest, not a binding legal opinion. Courts may ultimately reject this view, particularly if they find that the economic harm to publishers outweighs the purported benefits of AI development.
The actual impact of AI-powered search on referral traffic remains difficult to isolate from other factors, including changes to Google's search interface, the rise of social media as a discovery channel, and broader shifts in how users consume news.
What to watch next
The outcome of the New York Times case will likely set important precedents for this and future lawsuits. Courts' interpretation of fair use in the AI training context will determine whether publishers can control how their content is used by AI companies or whether such use is permissible without authorization.
The scope of any licensing agreements that emerge from these disputes will also be significant. If AI companies begin paying publishers for content access, it could create a two-tier system where well-resourced news organizations benefit from licensing revenue while smaller publishers struggle to negotiate favorable terms.
For SEO and content professionals, monitoring how AI search tools attribute and link to sources will be critical. If AI systems evolve to provide clearer attribution and more direct links to original content, it could mitigate some of the referral traffic decline. If they continue to synthesize answers without clear sourcing, publishers may need to develop alternative distribution and monetization strategies.
The broader question of how AI search reshapes the economics of content creation remains open. The 47 percent decline in search referral traffic reported by midsize publishers suggests that the transition is already underway, but the long-term equilibrium between AI-powered answer engines and traditional search has yet to emerge.
Sources
- Cyprus Mail (Reuters wire service), "US newspapers sue OpenAI, Microsoft, alleging copyright infringement," September 5, 2026
- Unite.AI, "Seattle Times and Newsday Sue OpenAI and Microsoft Over News Content," September 5, 2026
