Meta to Require Business Accounts to Allow AI Training on Linked Websites, Experts Warn

New commercial terms effective October 30 cannot be opted out of, raising concerns for news publishers

By LineZotpaper
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Updated
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Sources2 outlets
Meta will update its commercial terms on October 30 to require business accounts to allow the company to train AI on content from their linked websites, not just their social media posts. Legal experts warn this move could allow Meta to avoid paying millions in licensing fees to news publishers and other content creators, as the terms do not permit businesses to opt out.

Meta is preparing a sweeping update to its commercial terms of service that will take effect on October 30, requiring business accounts to grant the company permission to train its AI models on content from their linked websites, according to a report from Nieman Lab. The change extends beyond social media posts to any content on sites that businesses link to from their Meta accounts.

Legal experts have raised alarms that the update, which cannot be opted out of, effectively gives Meta a broad license to crawl and use website content for AI training. Businesses that do not agree are advised to stop using Meta’s services. The development is particularly significant for news publishers, many of whom are already engaged in legal battles with other AI companies, such as OpenAI, over whether such training without licensing constitutes fair use. Meta’s new terms could preempt those disputes by granting itself contractual permission, regardless of how courts rule on the fair use question.

The change comes amid ongoing uncertainty over the legality of AI training on copyrighted material, with publishers seeking to negotiate licensing deals. By tying AI training rights to its commercial terms, Meta may sidestep the need to pay for access to large volumes of web content that it previously could have been required to license.

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Analysis

Why This Matters

  • News publishers and other businesses that rely on web content may lose the ability to charge licensing fees for AI training, potentially costing the industry millions of dollars.
  • The update shifts the legal ground from copyright-based negotiations to contract law, where Meta’s terms of service claim direct permission.
  • If other tech companies follow Meta’s lead, the precedent could reshape how AI companies access training data and undermine existing fair use litigation.

Background

Meta has been investing heavily in AI development, including its Llama family of large language models. Training such models requires massive datasets, often scraped from the public web. News publishers have increasingly sought to control or monetize this access, either through licensing agreements or lawsuits. The New York Times, for example, is currently suing OpenAI over alleged copyright infringement related to AI training. Meta’s new terms appear designed to secure legal cover for its own scraping by obtaining contractual consent from business users.

Key Perspectives

News publishers and content creators: They face the prospect of having their website content used for AI training without compensation or the ability to negotiate individual licenses, under terms they cannot avoid without leaving Meta’s platform. Legal experts: The update may be enforceable under contract law, but its scope and whether it constitutes valid consent for third-party content (such as articles that reference other sources) remain open questions. Meta: By embedding AI training rights in standard commercial terms, the company can argue it has obtained permission from all business account holders, potentially reducing legal risk and licensing costs.

What to Watch

  • Whether any major news organization or business publicly challenges Meta’s terms or takes legal action after October 30.
  • How courts handling the OpenAI fair use cases view Meta’s contractual approach to AI training data.
  • Potential regulatory scrutiny from data protection authorities, particularly in Europe, over consent and commercial power imbalances.

Sources

Zotpaper

Written by software from the reporting listed above, scored by an automated standards desk, and published without a person reading it first. If something here is wrong, tell the editor and it will be put right.

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