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Meta removes 'train' language from commercial terms of service following AI backlash

Confirmed1 source · Oct 20, 2026

Meta revised its terms following legal experts' warnings that the policy would allow unlimited data scraping for AI training without compensating content creators.

Meta removes 'train' language from commercial terms of service following AI backlash
Image via Ars Technica

What happened

Meta dropped the word "train" from revised commercial terms of service set to take effect October 30, after facing backlash from legal experts who warned the original language could permit Meta to scrape websites linked on business pages and use the data for AI training without licensing fees. Legal experts had suggested Meta could exploit the policy to avoid paying millions to news organizations by requiring business users to share AI training data as a condition of operating a business page. Meta's spokesperson stated the crawling terms only applied to ads and business products and do not represent new scraping rights, reiterating that content owners can use robots.txt to restrict crawlers. However, the same legal experts told Nieman Lab that Meta's updates do not adequately protect business page users from invasive scraping.

Context

The dispute centers on whether Meta's revised terms preserve or eliminate a potential legal pathway for the company to avoid licensing content from publishers while building AI training datasets. The original backlash highlighted concerns that business users could face mandatory data contributions simply to maintain a business page—a situation with downstream effects for news organizations facing pressure on their licensing revenue. Meta's clarification focuses on the limited scope of the terms (ads and business products) and existing technical protections (robots.txt), but legal experts assess these measures as insufficient safeguards.

What's disputed

Whether Meta's revised language genuinely eliminates the risk of large-scale unlicensed scraping for AI training, or merely obscures the same underlying capability. Experts and Meta disagree on whether the updates adequately protect content owners.