The news: YouTube expanded access to its AI likeness detection tools, allowing anyone at risk of being impersonated to sign up for the offering, per The Hollywood Reporter. The proprietary technology was originally only available to select creators, politicians, and public officials.

• Individuals can upload photos of their face, which are then cross-checked against other platform uploads, and request to have any deepfakes removed.
• Potential users include actors, athletes, brands, creators, and musicians, but a YouTube channel isn’t required in order to use the tools.

“We’ve been working on this for quite some time since the genesis of thinking through AI tools and … we are working very closely with talent agencies and third-party management companies to make sure that public figures can actually get ahead of this before something negative happens,” YouTube CBO Mary Ellen Coe told The Hollywood Reporter.

Why it matters: Deepfakes are on the rise, presenting a credibility and brand safety risk to creators and campaigns, especially as consumers across age groups are vulnerable to being misled.

• Only 9% of people older than 16 are confident in their ability to spot a deepfake, per Ofcom.
• 35% of consumers ages 13 to 18 have been confused by fake content, per Common Sense Media.

AI video models are also becoming increasingly sophisticated, drawing concerns from industry leaders and heightening the stakes for social media operators to clamp down on misleading AI content.

• The Motion Picture Association called out ByteDance’s Seedance 2.0 in February over "infringing activity" after a deepfake of actors Brad Pitt and Tom Cruise went viral.
• YouTube’s move also raises the bar for rivals like TikTok and Meta as platforms compete to offer more robust safeguards against AI-driven impersonation.

Implications for brands: Proactive monitoring and rapid takedown capabilities are increasingly critical for brands, talent, and partners. Tools like YouTube’s could offer an added layer of protection, but they also raise expectations that platforms will consistently enforce safeguards.

Brands may need to invest more in verification signals—like official channels, watermarking, or partnerships with platforms—to maintain consumer trust as synthetic media becomes harder to detect.

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