Video is eating the corporate world. We’re well past the era where a standard slide deck was enough to keep a remote team engaged, but actually making a video for work has historically been a nightmare of juggling assets, complicated timelines, and cheesy stock footage. That’s exactly why Google introduced Vids into its Workspace suite—to make video creation as frictionless as spinning up a Google Docs. And with their latest update, they’re taking the training wheels off the generative AI engine powering it all.

Starting this week, Google is rolling out a significant update to Google Vids that tackles two of the most frustrating bottlenecks in AI video generation: strict length limitations and the tedious trial-and-error process. If you’ve been using Google’s flagship Veo model inside Vids to generate custom b-roll, product shots, or cinematic transitions, you can now seamlessly extend those clips to create much longer videos. On top of that, you can kick off multiple video generation requests simultaneously.

Let’s talk about why extending clips is a much bigger deal than it sounds. If you’ve spent any time messing around with AI video generators over the last year, you know the distinct pain of getting a brilliant, cinematic five-second clip, only to realize you need it to be ten seconds to actually fit your voiceover. Previously, if you tried to prompt the AI to generate the next sequence, it would almost certainly change the lighting, shift the camera angle, or magically swap your subject’s jacket color.

By allowing users to extend existing clips, Veo can now maintain vital storytelling continuity. The AI essentially looks at the final frames of your current clip and keeps the virtual camera rolling. This means your characters, environments, and lighting setups remain consistent across the timeline, allowing for more immersive and professional-looking scenes that don’t jarringly shift every few seconds.

Then there’s the workflow side of things. Generating high-quality AI video takes immense compute power, which usually translates to the user sitting at their desk watching a progress bar. Until now, you had to type in your prompt, wait, review the output, and try again if the AI didn’t quite capture your vision. The new parallel generation feature flips that workflow on its head.

You can now prompt the system with several different artistic styles, actions, or camera movements all at once. Imagine needing an opening shot of a bustling city for your quarterly update; you can now ask Veo to generate a photorealistic drone sweep, a stylized cinematic pan, and a moody time-lapse simultaneously. It brings the concept of A/B testing straight to video generation, letting you simply pick the winner and move on with your day rather than waiting in a linear queue.

This move signals a broader shift in how we’re expected to use generative AI in everyday enterprise applications. We are moving away from novelty and toward actual, measurable productivity. Google is making these new capabilities available across a wide swath of its ecosystem, rolling them out to users on Workspace Business, Enterprise, and Education Plus tiers, as well as consumers paying for Google AI Pro or Ultra accounts.

Ultimately, this update is about removing friction from the creative process. Building a compelling video will always require a bit of creative vision and a good script, but you shouldn’t have to fight the software—or wait around for it—to bring that vision to life. By letting creators build longer, more consistent scenes and giving them the power to test multiple prompts in real-time, Google is making it that much harder to justify sticking to a boring text document for your next big project update.