Google updates its AI video editor Vids with Gemini Omni and a feature that lets users create custom digital avatars using a selfie and voice recording
OpenAI's Sora may have shut down, but Google apparently thinks there's still interest in a tool that lets you star in your own AI videos.
Context & Ripple Effects
Vids has been moving from a narrower editing product toward an AI-assisted creation suite: prior updates added AI avatars, transcript trimming, image-to-video generation, prompt-based avatar direction, Veo support, and YouTube export. A basic version was also released more broadly.
Gemini Omni’s video-generation launch gives Google a new multimodal creation layer to place inside that workflow. The update arrives as reports say OpenAI’s Sora may have shut down, making the continuity of Google’s video tooling more consequential for users seeking an integrated option.
First-order effects
- Vids users gain Gemini Omni within the editor and can build a custom digital avatar from a selfie and voice recording, reducing the need to appear on camera for some video projects.
- Google deepens Vids’ connection to its own generative-video stack, shifting the product further from editing assistance toward end-to-end AI video creation.
Second-order effects
- Competing AI-video products face added pressure to pair generation models with practical editing, avatar control, and publishing workflows rather than compete on model output alone.
- Teams already using Google’s creation and distribution products may have a stronger incentive to keep video production inside Google’s tools, especially where reusable branded or presenter-style avatars are useful.
Third-order effects
- If these integrations continue, AI video competition is likely to be shaped less by standalone generators and more by who controls the connected workflow—from prompting and identity capture through editing and distribution.
- The use of selfie-and-voice-based avatars also makes consent, identity controls, and provenance increasingly central product requirements as synthetic presenters become routine in workplace and creator video.
The trend: This is one data point in the consolidation of generative video into broader productivity and publishing platforms, with avatars serving as a key interface for personalized output.