YouTube deploys AI to upscale old videos for TV as living room viewing soars

AI Video & Visuals


YouTube is deploying artificial intelligence to refurbish its vast archive of standard-definition videos to high-definition. This is part of the platform’s strategic pivot into the living room.

Curt Wilms, YouTube’s senior director of product management, announced a suite of five new features in a blog post last week, touting them as an effort to “make any YouTube content a premier experience on TV.” Some of them are AI-powered tools that automatically upscale videos uploaded at lower resolutions. The feature, which Bloomberg confirmed will extend to web and mobile, will initially target content below 1080p, boost it to HD, and eventually target 4K.

This appears to be a strategic asset management strategy. AI updates and future-proofs millions of hours of content that look increasingly outdated on modern 4K TVs, unlocking new monetization possibilities for creators and the platform itself. This is significant, as YouTube reports a 45% year-over-year increase in channels making over six figures from TV screen revenue.

“For creators, the living room is increasingly becoming the new prime time,” Wilms wrote, calling the update part of the company’s mission to “make creator content shine.” YouTube’s economics are increasingly shifting from mobile to television, where higher production quality is valued. YouTube accounted for 12.5% ​​of all U.S. TV viewing in May 2025, the highest share of TV viewing of any streamer on record, according to Nielsen June 2025 data. Last year, it became the first streaming platform in Nielsen records to have a daily viewership share of more than 10%.

The new upscaling feature has several measures in place. Creators can opt out and the original video file will be preserved. The enhanced version will be clearly labeled for viewers to choose from. This transparency is key because upscaling AI can introduce artifacts and the quality of the final result is a litmus test for the underlying technology.

Beyond AI, this update signals improvements to YouTube’s TV operating system. The platform has expanded thumbnail file sizes to 50MB, enabled 4K preview images, and is testing larger video uploads, giving the TV interface a nod to being a very visually competitive space. New “contextual search” keeps viewers on your channel’s page and challenges endless scrolling across platforms, potentially benefiting channel loyalty.

Perhaps the most notable addition is the tilt towards social commerce. With viewers watching 35 billion hours of shopping-related content a year, YouTube is introducing QR codes for instant purchases and testing timed product placement within videos. This could transform the passive, lean experience of watching TV into an active, transactional experience, closing the gap between consumers’ inspiration from their couch and their purchase.

This positions YouTube no longer as a video platform tailored for TV, but as a native TV service built on a creator-first model. The success of this AI gamble will determine whether the platform’s past can truly be as valuable as its future.



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