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AI products are changing. They are moving from chat boxes to creative workbenches. Google's Gemini Omni shows this shift. Frontier AI is moving from answering prompts to reshaping media directly.

Video is no longer a niche format. You use it for marketing, education, and product support. If AI understands video like it understands text, your workflows must change.

The real value is not just making a video. It is having an assistant that understands your goal. An assistant can inspect a clip and suggest edits.

You can ask a tool to turn a 90-second demo into a 20-second clip. You can ask it to remove awkward pauses or add captions. This is faster than hunting through manual menus in a traditional editor.

AI video tools provide speed for repetitive tasks:

Multimodal AI changes what users expect. Users will not just store videos. They will expect apps to understand them. A support app can summarize a screen recording to find a user error. A learning app can turn a lecture into practice questions.

The winners will not just add a sidebar with a model. The winners will redesign the entire workflow around what the model can see and hear.

This trend helps small teams. Solo founders and teachers rarely have media departments. AI tools act as an assistant to make content possible without a full production week.

There are risks to watch:

If you build with AI video, follow these steps:

Do not ask how to add AI video to your app. Ask where your users lose time because your app cannot understand their media.

Source: https://dev.to/jenueldev/gemini-omni-shows-where-ai-video-tools-are-heading-next-1pbo

Optional learning community: https://t.me/GyaanSetuAi