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YouTube Deploys AI Age Estimation for Safer Teen Viewing

YouTube is rolling out machine learning-based age estimation in the U.S. to automatically identify teen users and apply age-appropriate safeguards. Verified teens and those inferred under 18 will see personalized ad restrictions, limits on repetitive or harmful content, and built-in digital wellbeing tools like screen time and bedtime reminders.

Published July 29, 2025 at 12:07 PM EDT in Artificial Intelligence (AI)

YouTube Introduces AI-Powered Age Estimation

YouTube has begun rolling out machine learning-based age estimation technology in the U.S. to automatically detect teen users and deliver a more age-appropriate viewing experience.

How Age Estimation Works

The new system analyzes various signals—from watch history and account longevity to viewing patterns—to predict whether a user is under 18, regardless of their declared birthday.

If the AI inference is incorrect, users can verify their age using a credit card, government ID, or a selfie verification, ensuring access to age-restricted content remains under their control.

Enhanced Protections for Teen Viewers

  • Disabled personalized advertising to limit targeted ads for teens.
  • Safeguards against repetitive viewing of potentially harmful content.
  • Built-in digital wellbeing tools like screen time and bedtime reminders.

These protections expand on measures introduced in 2023 that curb videos triggering body image issues or social aggression, and tools first launched in 2018 to promote healthier viewing habits.

Industry Landscape and Compliance

This rollout is part of YouTube’s 2025 roadmap and aligns with growing government scrutiny and new laws across U.S. states and the U.K., including the Online Safety Act, which mandate robust age verification and child safety measures.

Available only to signed-in users across web, mobile, and connected TV, YouTube plans to monitor performance with a small user cohort before scaling this AI-driven age estimation more broadly.

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