Google is transforming Search from a tool that retrieves information into an increasingly agentic system capable of monitoring topics, reasoning across sources and helping users complete tasks.

Search has traditionally been one of the simplest concepts in technology.

Type a query.

Receive results.

Click a link.

Google is now trying to change that model.

The company is increasingly turning Search into an AI environment where users can ask complex questions, maintain conversations, create information agents and allow AI to monitor subjects on their behalf.

Google announced its latest AI Search developments at I/O 2026, describing the transition as the beginning of an era of Search agents. (blog.google)

AI Mode Is Becoming the New Search Interface

Google says AI Mode has surpassed one billion monthly users globally, with queries more than doubling every quarter since its launch. (blog.google)

The company has integrated Gemini directly into Search.

Users can ask longer and more complicated questions.

The system can also accept different types of inputs, including text, images, files, videos and Chrome tabs. (blog.google)

This moves Search beyond keyword matching.

Users can describe what they are trying to accomplish.

AI then determines how to approach the problem.

Search Agents Operate in the Background

One of Google’s most interesting developments is the introduction of information agents.

Google says users can create agents that monitor information across the web and notify them when relevant changes occur. (blog.google)

That could change how people consume information.

Instead of repeatedly searching for an update, users could ask an AI agent to watch a topic.

The system could monitor news, websites and other sources and surface changes when they occur.

Search Becomes Proactive

This is an important change.

Traditional Search is reactive.

The user asks.

The search engine responds.

An information agent is proactive.

The user defines an objective.

The agent continues working in the background.

That distinction brings Search closer to the world of AI assistants.

AI Search Also Changes Google’s Business Model

The shift creates major implications for advertising.

Traditional Search advertising is built around search queries and results pages.

AI Search can instead generate a conversational answer.

That creates questions about where advertisements appear and how users discover businesses.

Google is already experimenting with new advertising formats designed for AI-powered Search experiences.

The company’s AI strategy therefore has to balance two objectives:

make Search more useful while maintaining the economic system that supports it.

Search Agents Could Compete With Websites

There is another major consequence.

If users increasingly receive synthesized answers from AI, they may click fewer individual websites.

That could affect publishers.

It could also change how businesses approach search optimization.

Instead of optimizing primarily for traditional rankings, companies may increasingly need to make their information understandable to AI systems.

The future of SEO could therefore become partly about AI visibility.

Google Has an Enormous Advantage

Google controls several pieces of the ecosystem simultaneously.

It has Search.

It has Chrome.

It has Gemini.

It has Android.

It has Maps.

It has YouTube.

It has Gmail.

That means an AI search agent can potentially draw information from a much broader environment.

The user doesn’t necessarily need to explain everything.

Google already has access to many of the services people use.

The Privacy Question

That advantage also creates privacy questions.

The more information an AI agent can access, the more useful it can become.

But greater access creates greater responsibility.

Users need to understand what information an agent can see and what actions it can take.

This is likely to become one of the defining issues of agentic computing.

Search Could Become a Personal Information Layer

The long-term vision is broader than search.

Google is effectively attempting to make AI the layer through which people interact with information.

A user might ask:

“Find the latest developments on this topic.”

The agent searches.

“Tell me what changed.”

The agent compares information.

“Keep watching it.”

The agent continues monitoring.

That is fundamentally different from traditional search.

The Bigger Picture

Google’s transformation of Search is one of the most important developments in consumer AI.

The company is not simply adding a chatbot to its search engine.

It is experimenting with a new model of information access where AI can research, reason, monitor and eventually act.

If that transition succeeds, Search may evolve from something people use when they need information into something that continuously works on their behalf.