AI has started not just 'watching' videos but 'investigating' them? The emergence of agentic video understanding technology

Imagine you are trying to find the exact moment a specific incident occurred in dozens of hours of security camera footage. Until now, you had to show the video to an AI, ask “What is this?”, and rely on an incomplete summary provided by the AI. But now, an era has opened where AI, like a seasoned investigator, carefully examines the video itself, re-watches necessary parts, and draws its own conclusions. This is the change brought about by the ‘agentic video understanding’ technology recently unveiled by Google.

Why does this matter?

Until now, asking AI to analyze a video was similar to handing a test paper to a student and asking “What is the answer?”. Existing AI would glance over the entire content and provide an answer based on intuition. However, this technology, with the ‘agentic’ label, is different.

This technology transforms AI from a simple ‘observer’ into an active ‘investigator’. Beyond just summarizing video content, the AI can now make its own judgments to examine specific scenes in more detail, compare context before and after, and perform logical analysis. This will provide unprecedented accuracy and insight to companies dealing with complex data and professionals requiring precise analysis. Source: Introducing agentic video understanding with Gemini

Understanding it easily

To easily compare ‘agentic video understanding’, think of the ‘difference in how books are found in a library’.

If existing AI guessed the content just by looking at the book title, this technology is like hiring a competent librarian. If you request, “Find the scene in this video where the accident happened,” the AI librarian enters the library (video file) itself, rummages through the shelves, checks the content directly, and if necessary, takes out several books to cross-reference them before kindly informing you, “The evidence is in the material on the second floor of shelf 34.”

In a similar vein, Google previously introduced ‘Agentic Vision’ (technology that autonomously identifies and investigates content in images or videos) to apply active investigation loops to the static image understanding process. Source: Introducing Agentic Vision in Gemini 3 Flash This method constructs the process by which AI derives information into a 3-step loop (plan-execute-verify), ensuring that the final answer is based on verified visual evidence rather than mere speculation. Source: Google Introduces Agentic Vision: Gemini 3 Flash Now… It is easy to understand that this video analysis technology also applies these active investigation principles to dynamic data called video.

Current status

Currently, this powerful agentic video understanding feature is available to developers via the APIs of Google AI Studio and the Gemini Enterprise Agent Platform. Source: Introducing agentic video understanding with Gemini

What will happen in the future?

In the future, AI will go beyond simply saying ‘what is there’ in a video and will be able to answer deeper questions such as “Why did that person act that way?” or “What is the operating principle of this complex machine in the video?”.

As users naturally instruct video editing or analysis as if having a conversation, experiences like ‘conversational AI video editors’ where AI grasps the flow and processes it step-by-step are expected to become more common. Source: GeminiOmni – Create & edit videos as easy as having a conversation As technology develops, our daily way of consuming video content will also undergo a major transformation, moving beyond simply watching to ‘investigating and discussing’ videos with AI.

References

1. Introducing Agentic Vision in Gemini 3 Flash (https://blog.google/innovation-and-ai/technology/developers-tools/agentic-vision-gemini-3-flash/)

2. Video understanding

   Gemini Enterprise Agent Platform

   Google Cloud Documentation (https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/capabilities/video-understanding)

3. Introducing agentic video understanding with Gemini (https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-agentic-video-in-gemini/)
4. GeminiOmni – Create & edit videos as easy as having a conversation (https://gemini.google/us/overview/video-generation/?hl=en)

5. Google Introduces Agentic Vision: Gemini 3 Flash Now…

   LabNotes (https://labnotes.tech/blog/google-introduces-agentic-vision-gemini-3-flash-now-zooms-annotates-and-investigates-images)