Meta’s new terms may allow it to train AI on news sites for free

Meta’s new terms appear to grant the company the ability to crawl and scrape websites associated with businesses that use its platforms, including online publishers. According to a report from Nieman Lab, these terms, which take effect on October 30th, allow Meta to use this outside content for purposes such as developing, improving, researching, and training its AI systems. The change has raised concerns among legal experts and publishers, who argue it may enable Meta to access and utilize content without explicit consent.

The updated terms are part of Meta’s broader effort to consolidate its commercial and self-serve ad policies. A spokesperson for the company, Daniel Roberts, stated that the changes are not intended to target news sites specifically. However, legal experts have expressed concerns that the language in the new terms could be interpreted as allowing Meta to scrape content from news sites for AI training purposes without direct permission from the publishers.

The new terms, which were first introduced in 2026, have been the subject of scrutiny from legal analysts and industry observers. The language in the updated terms suggests that Meta may be able to access and use content from websites associated with businesses that use its platforms, including publishers. This has raised questions about the extent to which Meta can use such content for AI training and whether publishers will have any recourse if their content is used without explicit permission.

The implications of these terms could be significant for both Meta and the publishers whose content may be accessed. Publishers may face increased challenges in controlling how their content is used, potentially leading to concerns about revenue loss or reduced control over their intellectual property. Additionally, the use of scraped content for AI training could raise broader questions about data ownership, transparency, and the potential for vendor lock-in as companies rely more heavily on platforms like Meta for AI development.

As the situation continues to develop, stakeholders across the industry are closely watching how these terms are implemented and interpreted. The outcome may have far-reaching consequences for content creators, AI developers, and the broader digital ecosystem. With the terms still in the early stages of deployment, further clarification from Meta and regulatory oversight may be necessary to address concerns and ensure that the interests of all parties are protected.