
YouTube Reworks Its AI Likeness Claims — the 'Copyright' Tab Becomes 'Claims'
YouTube has improved AI likeness claim alerts and simplified disputes. The copyright menu consolidates into 'Claims,' and creators get four grounds to push back.

Meta faces an unprecedented legal battle, defending itself against a coalition of 29 state attorneys general in the U.S. The AGs allege the company intentionally designed addictive systems despite knowing those systems pose risks to users.
As reported by CNBC, Meta could face the most significant penalties in its history if it loses.
The lawsuit hinges on whether the company failed in its responsibilities to protect users from harm.
That federal case was largely based on the "Facebook Files" exposé published in The Wall Street Journal in 2021, drawing on leaked internal documents from whistleblower Frances Haugen. The documents showed Meta's own internal research had repeatedly found Facebook and Instagram harmful for various categories of susceptible people, and the report alleged Meta ignored this to prioritize profits.
More recently, Meta lost a high-profile California case in which a Facebook and Instagram user accused the company of creating systems that caused her harm. In that case, both Meta and Google-owned YouTube were found to have ignored known risks to maximize business opportunities.
That verdict established legal precedent for social media addiction, leaving Meta open to litigation from thousands — possibly millions — more people who could claim harm.
Meta sought dismissal to contain the impact and failed, leading to this trial. California Attorney General Rob Bonta is co-leading the case, which could ultimately cost the company potentially more than $1 trillion in future liabilities.
Final impacts are hard to predict, but the range spans:
The second already has precedent. In the EU, Meta now offers an algorithm opt-out enabling chronological viewing, plus an ad-free subscription package letting users opt out of data use for advertising.
Calling this an existential risk is not hyperbole.
Meta continues to challenge the legal standing of these claims, arguing that social media addiction is not a psychological condition verified by the Diagnostic and Statistical Manual of Mental Disorders.
A forced algorithm opt-out changes reach mechanics. If a meaningful share of users choose chronological feeds, both organic reach built on recommendation and the assumptions underneath ad targeting shift. It is already happening in the EU, so modeling a U.S. version is worth doing in advance.
Regulatory risk around marketing to minors keeps rising. This trial concerns platform liability, but the fallout reaches brands designing for youth reach. As six months of Australia's teen social media ban showed, regulation keeps expanding regardless of how well it works.
Platform financial risk translates into ad policy change. Trillion-dollar exposure raises monetization pressure. Read alongside the analysis of how much of Meta's real AI cost sits off the books, the plausible outcome includes shifts in ad pricing and inventory policy.
The verdict is unknown. What is established is that legal precedent for social media addiction already exists, and Meta's potential liability approaches its market capitalization. For advertisers, the thing to watch first is not the ruling but the product changes a ruling would force.
Whether Meta failed its responsibility to protect users from harm. The 29 state attorneys general allege the company knowingly designed and deployed features that addict children and teens.
Potentially more than $1 trillion in future liabilities. Reuters reported combined social media harm payouts could exceed $1.4 trillion, against a Meta market cap around $1.5 trillion.
Outcomes range from mandated in-app warnings about social media addiction to required algorithm opt-outs. The EU already has chronological feed opt-outs and an ad-free subscription.
Meta challenges the legal standing of the claims and argues that social media addiction is not a psychological condition verified by the Diagnostic and Statistical Manual of Mental Disorders.
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