AI Agents Enter Google Search

Google Search just went from being an encyclopedia to an assistant.

That’s the crux of everything Google announced in its recent I/O conference for 2026. The buzzword is “AI agents”, which now enter Google Search, its coding platforms, and even get a whole new standalone app for themselves. The idea is to move from AI that answers to AI that actually does things for you.

Meaning – next time you are looking for that pair of jeans you love or a shirt you want on the internet, you don’t have to sift through an endless list of websites. Just tell Google Search, and it will boil down the options for you that exactly match the jeans or the shirt of your choice. At the backend, its AI agents will scroll through millions of websites in seconds and try to find as close a match as possible. On the front end, you wait a couple of seconds and get the option to buy right in front of you.

You don’t need me to tell you this – it is a revolutionary change in how we search the internet. And it comes after a solid 25 years of Google Search as we know it – search and scourge through a list of platforms for the right answer. With AI agents in the mix, simply ask, and it shall be done.

But wait, that is just one of the updates that Google has introduced at its Google I/O 2026. Here is everything that the tech major unveiled at the event, and how it changes your life for the better/ worst.

Google Search Gets AI Agents

This is the big highlight, simply because of the scale of the impact it brings. Google Search is the entry point to the internet for most users across the world. And with its new and changed behaviour, I am very sure this update will mark a revolutionary point in the history of the internet.

As I mentioned, Google Search will now lean towards acting on your query, instead of simply answering it. So how does that change things? Well, you read the example of online shopping above. Here are some more examples to give you a deeper context.

Google Search can now help you visualise concepts:

Imagine you seek to understand a new concept, and a visual element would aid that. Now, you can simply ask Google’s AI Mode to show you a visual illustration of the concept, and the agentic AI within will get right to it. Meaning, you no longer need to scroll through websites or watch YouTube videos to find the right visuals. Google Search will help you generate just what you need, right when you need it.

You can now code with Google Search:

Got a code that you need help with? Simply share it with Google Search and ask for assistance, and the AI agents within will get to work.

Keep track of events and updates with Google Search:

Now, you can ask Google Search to remind you of the upcoming event or update of your choice. Google’s AI agents will right away establish a tracker that updates you through the Google app as and when it takes place.

I hope these examples give you a gist of what Google Search is now capable of. Bottomline – Google Search can now help you understand, search, and even execute, and all you have to do is ask.

At the heart of it all is Google’s all-new AI model – Gemini 3.5 Flash. Which brings us to the next big update announced by Google at the Google I/O 2026…

Gemini 3.5 Flash is Here

This marks the birth of a new family of AI models from the house of Google, namely Gemini 3.5. We can now see its Flash or light version across platforms now – including the Gemini app as well as Google Search. Meanwhile, the company has also scheduled the launch of Gemini 3.5 Pro for next month. But for now, Gemini 3.5 Flash is the model doing the heavy lifting across Google’s new AI push. Developers can access the model through Google Antigravity, Gemini API, AI Studio, and Android Studio, while Enterprise clients can find it in Gemini Enterprise Agent Platform and Gemini Enterprise.

The important bit is simple – Gemini 3.5 Flash is built for action. Google says it delivers frontier-level performance for agents and coding, while being 4x faster than other frontier models in output tokens per second. In practice, that means faster responses, better coding help, stronger agentic workflows, and more dynamic AI-generated interfaces within Search itself.

Gemini 3.5 Flash Highlights

Some key highlights are as follows:

• Gemini 3.5 Flash is now the default model for the Gemini app and AI Mode in Google Search globally. This means most users will experience Google’s latest AI capabilities through the lighter and faster version of its new model family.
• The model has been built with agents and coding at its core. So, instead of only answering questions, it can support workflows where AI needs to reason, act, generate code, and complete multi-step tasks.
• It works closely with Antigravity to handle more complex agentic workflows. This allows developers and power users to run multiple AI agents, manage tasks, and build more advanced AI-led systems.
• The model can help generate richer web interfaces, graphics, and interactive experiences. This is what makes the new Google Search feel less like a list of links and more like a dynamic AI workspace.

You can read more about the new Gemini 3.5 Flash here.

Gemini 3.5 Flash also powers Gemini Spark, Google’s new 24/7 personal AI agent. This makes it central to Google’s larger plan of building AI systems that work in the background for users, and brings us to the next big update from Google I/O 2026 –

Gemini Spark is Your 24/7 AI Agent

If Gemini 3.5 Flash is the brain, Gemini Spark is where Google gives that brain a job. Spark is a personal AI agent inside the Gemini app that can take action across your digital life, under your direction. The big difference? It does not need your laptop to stay open. Spark runs on dedicated virtual machines on Google Cloud, which means it can continue working in the background, 24/7, while you move on with your day.

Powered by Gemini 3.5 and the Google Antigravity harness, Spark can handle long-running tasks, connect with Google’s own tools, and soon work with third-party tools through MCP. You will be able to use it inside the Gemini app, and later through email, chat, Android Halo, and Chrome. In short, Spark is Google’s clearest signal that AI agents are not just for developers anymore, but are coming for everyday users.

And amidst this agentic AI push during the Google I/O 2026 comes the next big thing from Google – an AI video maker that looks just as promising as Nano Banana was for image generation.

Gemini Omni: AI Video Generation on Steroids

Gemini Omni is Google’s new model that brings Gemini’s reasoning ability into video creation. In simple terms, it can take inputs like text, images, video, and audio, and turn them into a single high-quality video output. The first model in this family, Gemini Omni Flash, is now rolling out to the Gemini app, Google Flow, and YouTube Shorts.

And if you see this in action, at least from the demos shared by Google, you will know it is not just another AI video creator on the internet. The best part – it lets you edit videos through conversation. Ask it to change the scene, add an object, alter the action, or change the style, and it can build on your previous instruction without losing the original thread. Google says Omni also uses Gemini’s real-world knowledge and understanding of physics, history, science, and culture to make visually impressive, meaningful, and consistent videos.

What’s more – it can combine an image or even a whole new illustration of it within a video. So if I were to add a planet like Saturn within a video clip of space, I could even use a cricket ball to give it context. Or, much easier, simply prompt it to include the planet, and Gemini Omni will do it.

In short, Gemini Omni could make video creation skip editing software and feel like directing a scene. You describe what you want, refine it step by step, and let the model handle the heavy lifting. That could be a huge shift for creators, marketers, educators, and anyone who has ever had a visual idea but not the tools to bring it alive.

That’s for creators, but of course, the Google I/O is more about developers, and it can’t be wrapped up without any developer-focused features. Here are some –

Google Updates – All for Developers

This year, Google’s direction is clear – it does not just want developers to use AI. It wants them to build software with AI agents.

Agentic Development with Antigravity

The biggest update here is Antigravity 2.0, Google’s new agent-first development platform. With the new Antigravity and Antigravity CLI, developers can now create specialised subagents for complex workflows. One agent can code, another can test, another can debug, and another can handle repetitive tasks. Google has also added safety features like terminal sandboxing, credential masking, and hardened Git policies to keep these workflows secure.

AI Studio and Android Development

Google AI Studio also received major upgrades. It now supports native Kotlin, Google Workspace integrations, one-click deployment to Cloud Run, Firebase support, and project export to Antigravity. This means developers can build, connect, deploy, and continue improving full-stack apps from one place.

For Android, Google introduced Android CLI, open-sourced Android skills for LLMs, Android Bench, and a migration agent inside Android Studio. The migration agent is especially interesting because it can help convert apps built in React Native, web frameworks, or iOS into native Kotlin Android apps.

Web Development Gets Agentic Too

For web developers, Google introduced WebMCP, Modern Web Guidance, Chrome DevTools for agents, and HTML-in-Canvas. Together, these tools help AI agents use web functions, follow best practices, debug code, run audits, and build immersive web experiences.

In short, Google is preparing developers for a world where apps, websites, and workflows are not just built by humans using AI, but by humans working with teams of specialised AI agents.

Conclusion

Google I/O 2026 made one thing very clear: Google is taking AI way beyond an answering machine. It is now building AI that can actually act on your queries and get the work done. Be it in Google’s search or its AI-dedicated platforms.

If things go just as Google planned, we all soon shall be shopping, tracking updates, building small tools, creating videos, or managing digital tasks in a whole new way. In time, it will all be an action engine, and not a “search engine” as we knew it.

Of course, there were several other updates too, including AI hardware, Ask YouTube, developer tools, and more. But the larger message remained the same across the board.

Google does not want AI to be another app you open. It wants AI to become the layer through which you use the internet itself.