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Meta pauses plan to require Facebook business pages to allow AI training on external content
Meta indefinitely paused a terms update that would have forced Facebook business page owners to allow scraping of external websites for AI training. Courts in Brazil and Norway issued injunctions and the UK's competition authority opened a formal investigation.

Meta has indefinitely paused a terms of service update that would have forced Facebook business page owners to let the company crawl external websites for AI training. The reversal, confirmed by a Meta spokesperson to Reuters on October 28, follows weeks of publisher backlash, regulatory investigations, and court injunctions in multiple countries.
Legal experts had warned that the proposed language was broad enough to let Meta ignore robots.txt exclusions and scrape content behind paywalls. For news publishers, who almost universally operate Facebook pages, the terms would have removed any practical way to opt out of having their content used for AI development.
What the proposed terms would have required
The changes would have applied to Meta Business account holders. To maintain a business Facebook page, owners had to agree to let Meta crawl any external websites linked from that page. The terms also required publishers to create test credentials so Meta's bots could bypass paywalls, Ars Technica reported when the changes were first announced.
Publishers and legal observers quickly flagged the scope of the language. It did not explicitly reference robots.txt preferences, and critics argued the wording around "developing business products" was functionally equivalent to AI training, even after Meta removed the word "train" from the terms.
Global regulatory and legal pressure
The initial implementation date of October 30 was pushed to November 20 amid mounting pushback. Courts in Brazil and Norway issued preliminary injunctions blocking the terms after organizations in those countries filed lawsuits. The United Kingdom's Competition and Markets Authority opened a formal investigation into whether Meta was exploiting a dominant market position to acquire AI training data.
Theo Bamber, chief executive of the UK's News Media Association, wrote on LinkedIn that the company displayed "the continued arrogance of this company to think everyone will just be OK with its actions." He added: "It's saying it can use all the content it scrapes to develop 'any business product'. I mean, come on."
In the United States, Senators Adam Schiff and Marsha Blackburn sent a bipartisan letter to Mark Zuckerberg asking him to withdraw the terms entirely.
Meta's response and remaining gaps
Meta vice president of communications Andy Stone posted on X that the company had "heard publishers' feedback" and did not plan to make policy changes without full consultation. Stone said the consultation could extend beyond November 20, and implementation would be delayed accordingly.
Meta also told business page owners that its crawling practices remain unchanged and that content owners can still use robots.txt to signal preferences. But the company has not included specific language about respecting robots.txt in its revised terms of service, a point Nieman Lab highlighted after the announcement.
Why this matters for legal, communications, and policy professionals
The episode exposes a friction point between platform terms of service and established web protocols like robots.txt. For legal and regulatory affairs teams, it raises questions about whether commercial terms can override technical opt-out mechanisms - and how competition authorities might view such moves. Professionals tracking AI governance will want to watch how the UK's CMA investigation unfolds, as it could set precedent for how dominant platforms acquire training data. Communications and PR leads at publishing organizations should note that Meta's pause is conditional, not permanent, and that the company has not committed to specific contractual language protecting publisher content preferences. For those working in policy or regulatory roles, understanding the intersection of AI training and data rights is becoming essential - AI Regulatory Compliance Courses and AI Public Policy Courses address these emerging challenges directly.