USA Today Co. and several local newspapers it owns have filed a lawsuit against OpenAI, alleging that the company copied large volumes of articles without permission to train its AI models. According to reports cited in the source, the publisher is seeking more than $250 million in damages and argues that the alleged use of its content has caused ongoing harm to its news outlets.

The case is part of a broader series of copyright claims brought by publishers and content owners against OpenAI. While the lawsuit is a US case, it matters beyond the American media market because it highlights a core issue for businesses adopting generative AI: whether the data used to train or power AI systems has been lawfully sourced and properly licensed.

What happened

USA Today’s owner has become the latest publisher to sue OpenAI over alleged copyright infringement linked to AI training. The claim, as described in the source, is that OpenAI copied “hundreds of thousands” of articles without authorisation for use in model development.

This follows other legal actions against OpenAI from media and publishing organisations, including The New York Times and other content owners. At this stage, the lawsuit represents allegations made by the publisher, not a court ruling on the merits of the case.

Why it matters for European businesses

For European companies, the immediate issue is not the US damages claim itself but the wider legal and commercial uncertainty around generative AI supply chains.

Many businesses now use AI tools for content generation, summarisation, search, customer service and internal productivity. If courts or regulators take a stricter view of how model providers acquire training data, this could affect:

• the commercial terms under which AI services are offered;
• licensing costs for AI vendors and, indirectly, their customers;
• the availability of certain models, datasets or features in regulated or risk-sensitive environments;
• vendor due diligence requirements for companies that rely on external AI platforms.

European businesses should also note that copyright, database rights and transparency obligations can become relevant when deploying AI systems, especially where tools are used to generate public-facing content or replicate publisher-style material. Even when a business is only an end user, disputes over training data may create operational, reputational or contractual risk.

The case also reinforces a broader market trend: publishers and content owners are increasingly pushing for licensing deals rather than unapproved data use. That can shape future pricing and access conditions across the AI ecosystem.

Who may be affected

• Marketing teams using generative AI for written content, summaries or campaign production.
• Publishers, media groups and content-heavy businesses that want to protect proprietary archives, editorial content or commercial databases.
• IT and procurement teams responsible for assessing AI vendors, contract terms and compliance risk.
• E-commerce and digital businesses embedding AI features into customer journeys, on-site search or support workflows.
• Founders and SME leaders making decisions on whether to adopt off-the-shelf AI tools or build internal AI capabilities.

What companies should consider

• Review AI vendor terms: check whether providers explain their approach to training data, intellectual property safeguards and customer indemnities.
• Assess content risk: if your business publishes valuable original content, consider how it may be accessed, scraped or reused by third parties.
• Document AI use cases: keep a clear record of where AI is used in content, customer-facing services and internal workflows.
• Set procurement standards: involve legal, compliance and IT stakeholders when selecting AI vendors for business-critical functions.
• Watch for policy and contract changes: ongoing litigation may lead AI providers to update product terms, data policies or enterprise licensing models.

For now, the lawsuit does not create a new legal rule for European companies. However, it is another signal that AI adoption should not be treated as a purely technical decision. For businesses using third-party AI services, questions around licensing, provenance and contractual protection are becoming part of normal risk management.