YouTube's new AI tools turn video editing and music discovery into conversations

At its Made On YouTube event this week, YouTube unveiled a set of AI-driven features for creators and listeners, headlined by a conversational video editing tool and a natural-language music feature called Ask Music. According to TechCrunch, the announcements continue YouTube's broader effort to weave AI through nearly every part of its service.

Editing video by chatting

The conversational editor gives creators a chat interface where they describe the changes they want, and the AI carries them out on both long-form footage and Shorts. In an on-stage demonstration, YouTuber Happy Kelli showed the tool sifting through footage of herself dancing in several outfits, picking the strongest take for each one, and then layering in music and transitions to match the routine.

Beyond assembling cuts, the tool can insert text overlays, trim silent pauses in speech, and proactively suggest edits based on the context of the conversation. Creators who want finer control can step out of the chat and back into the conventional editing timeline at any point. Kelli framed the system on stage as a collaborator that edits "with you, not for you."

According to TechCrunch, the feature is slated to arrive for Shorts and the YouTube Create app in early 2027.

Ask Music and podcast discovery

On the listening side, YouTube is building Ask Music directly into the YouTube Music app. Rather than typing song or artist names, users describe what they want to hear in everyday language, the way they might ask a friend. TechCrunch gives examples such as requesting a mix built from the tracks that inspired a particular song, or asking who played bass on a recording. The feature works across a catalog of more than 300 million tracks, spanning official releases, remixes, live performances, covers and DJ sets, and it can also assemble custom listening queues or answer questions about an artist's motivations and music history.

Alongside it comes "Your Podcast Lineup," an AI-generated audio guide aimed at podcast overload. Appearing weekly on the podcast page in the YouTube Music app, it delivers a short spoken preview of recommended shows, explains why each one might appeal to the listener, and then moves directly into suggested episodes.

TechCrunch notes a parallel move at Spotify, which recently introduced an AI-powered feature that generates personalized podcast episodes from user interests and prompts. YouTube itself has been active in this space before: last year YouTube Music experimented with AI music hosts that offered stories, fan trivia and commentary tied to what listeners were playing.

Both music features are described as coming soon to YouTube Music and YouTube Premium subscribers worldwide.

Why it matters

The editing announcement targets one of the biggest time sinks in video production. As Kelli put it on stage, an hour of shooting can turn into ten or more hours of editing, and a tool that compresses that workflow without locking creators out of the timeline could meaningfully change the economics of solo video production. TechCrunch also flags the counterweight: many creators treat their editing style as a signature that sets their videos apart, and may be reluctant to hand even part of the process to an AI.

The music features matter for a different reason. With Spotify already generating AI podcast content, YouTube's response, conversational search over a 300-million-track catalog plus an AI guide to podcast discovery, suggests that streaming apps will increasingly compete on how well they can hold a conversation about their libraries, not just on catalog size. The common thread across both announcements is YouTube positioning AI as a collaborator inside its own ecosystem, giving creators and listeners fewer reasons to leave the platform for third-party tools.