At Google I/O 2026, Google turned Search into its most important AI platform.
For years, Google has been progressively weaving artificial intelligence into Search. First RankBrain, then BERT, MUM, AI Overviews, and a succession of increasingly sophisticated advances in semantic understanding and query interpretation.
Google I/O 2026, however, marks something different.
This is no longer a search engine that uses AI to improve its results. Google is transforming Search into the operational center of its AI strategy. The very concept of online search is changing, moving ever closer to a conversational, agentic, persistent system.
This is arguably the most significant change in the modern history of Google Search.
And the most striking part is that Google is saying so openly.
During the keynote, Liz Reid, VP of Search, explained that search is evolving from a model based on individual queries to an experience much closer to a continuous conversation. Sundar Pichai added the piece of the “agentic era,” the phase in which Gemini, Search, and AI agents will work in the background to help users complete tasks, monitor information, synthesize data, and make decisions.
Taken together, all these announcements say one thing: Google has accepted a reality the market had been sensing for months. The future of Search is less and less keyword plus SERP, and more and more conversation, context, multimodality, AI agents, continuous personalization.
By the numbers: the scale of Google’s AI transformation
One of the most striking aspects of Google I/O 2026 is the volume of data Google shared during the keynote.
For the first time, the industrial scale at which the company is operating in the AI space becomes fully visible.
Sundar Pichai announced that Google now processes more than 3.2 quadrillion tokens per month across its platforms, representing 7x growth year over year. Just two years ago, the monthly volume stood at 9.7 trillion tokens.
The product figures are equally remarkable:
- AI Overviews has surpassed 2.5 billion monthly active users
- AI Mode already has more than 1 billion monthly users
- The Gemini app has exceeded 900 million users
- Daily requests to Gemini have grown more than 7x in a year
- Google’s model APIs process approximately 19 billion tokens per minute
- More than 8.5 million developers use Gemini models every month
But there is one data point that perhaps best captures the direction Google is heading.
During the keynote it was announced that Search hit an all-time high for total queries in the last quarter. This means that artificial intelligence is not reducing the use of search. It is changing the way people use it.
And this is where Google’s real strategic objective emerges. Bring conversational and agentic behavior directly into the Search ecosystem, before users shift their information activities to external platforms such as ChatGPT, Perplexity, or other AI systems.
Search is becoming a continuous conversation
There is one phrase from the keynote that probably captures the paradigm shift underway better than any other.
Sundar Pichai explained that Search is becoming “less about individual queries and more like an ongoing conversation.”
For more than twenty years, search marketing was built around a fairly linear dynamic. The user runs a query, Google returns results, the site earns a click.
Google is now stating openly that the future of search will be much closer to a continuous, contextual conversation than a simple sequence of keywords.
It will no longer be just about searching for “best hotels Rome” or “men’s running shoes.” Users will describe problems, objectives, personal context, preferences, and articulated needs, leaving the AI system to interpret the full meaning of the request.
And this is precisely why Google announced the biggest evolution of the Search Box in twenty-five years.
The new AI Search Box is far more important than it appears
At first glance, it might look like a simple graphical or UX upgrade. In reality, the new Search Box is the clearest symbol of Search’s transformation.
Google is abandoning the traditional idea of the search bar as a space for keywords. It is turning it into a multimodal AI interface, able to read text, images, video, files, Chrome tabs, and ongoing conversations.
The new interface will suggest formulations, anticipate intentions, and allow users to interact with AI Overviews and AI Mode in a more fluid way.
This is a significant change because it marks the shift from the logic of the query to the logic of the request.
For years, SEO was built around the interpretation of keywords. Today Google is signaling that the search of the future will be far more contextual, multimodal, and conversational.
And this inevitably changes the role of content and information sources as well.
Search Agents are the true beginning of the agentic era
The most important announcement in the keynote may, however, be a different one, the introduction of Search Agents.
Google announced the arrival of persistent AI agents capable of continuously monitoring the web in the background, gathering information, synthesizing it, and notifying the user when specific conditions are met.
The examples shown during the event are highly instructive: monitoring apartments, shopping, events, sports, local services, availability, and real-time updates.
Users will no longer need to keep running new searches. The AI agent will do the work.
And this is where Search truly changes its nature.
For decades, looking for information was an active behavior. Open Google, type a query, compare results, visit sites.
With Search Agents, search progressively becomes a continuous and persistent process.
This also profoundly changes the relationship between users, content, and web traffic.
The competition ahead is shifting. It will no longer be enough to gain visibility in the SERP. Publishers and brands will need to become a source relevant, trustworthy, and structured enough to enter the decision-making processes of AI agents.
Search is becoming an operating environment
Another highly significant announcement concerns the integration of “agentic coding” capabilities directly into Search.
Google demonstrated the ability to generate dashboards, mini-apps, personal trackers, simulations, and dynamic interfaces created in real time based on user requests.
During the keynote, for example, a fitness tracker was shown generated directly from Search using live data, maps, reviews, and real-time contextual information.
This step definitively erases the historical boundary between search engine, virtual assistant, and application platform.
For years Search was primarily a bridge to the web. Now Google wants Search to become the place where the web is consumed.
And that is an enormous difference.
Because it means that many activities that today require direct access to external sites could progressively be absorbed into the Search experience itself.
Gemini Spark and Antigravity reveal Google’s true direction
The most strategic dimension of the entire keynote emerges, however, when you look at Search, Gemini Spark, and Antigravity together.
Google presented Spark as a personal AI agent operating 24/7, capable of working continuously in the cloud, monitoring tasks, using tools, and acting on the user’s behalf.
Alongside this, Antigravity evolves into a platform for orchestrating groups of autonomous agents, while Gemini 3.5 Flash is described by Google as the central model of the new agentic era.
This is where it becomes clear that we are not talking about individual AI features.
Google is rebuilding its ecosystem around a completely different paradigm: persistent, conversational, multimodal, task-oriented AI.
And Search is the focal point of this transformation.
The most interesting part of the event may be what Google did not say
In recent months, a narrative that is often simplistic, almost magical, has built up around GEO, AEO, and AI Optimization, made of supposed miracle techniques for “optimizing content for AI.”
But reading the official announcements carefully reveals a very different reality.
Google continues to reiterate that AI Overviews and AI Mode rely on Search’s ranking systems, quality signals, semantic understanding, and source authority. The concept of grounding in AI responses also confirms that AI systems continue to need trustworthy sources present in the search index.
In other words, Google is not saying that SEO disappears.
It is saying that purely mechanical SEO, built solely around keywords, risks becoming insufficient inside an ecosystem that is increasingly conversational, interpretive, and agentic.
The real transformation is a different one: a shift from a logic of pure ranking to a logic of systemic relevance, more than a shift from SEO to GEO.
The real issue now is relevance
Google I/O 2026 leaves one clear impression: Google has transformed Search into its most important AI platform.
This is no longer simply about organizing information. It is about understanding it, synthesizing it, monitoring it, personalizing it, and turning it into action.
For companies, publishers, and digital professionals, the competitive advantage is shifting. Less and less from the ability to intercept keywords. More and more from the ability to become recognizable, trustworthy, and relevant sources within increasingly distributed information ecosystems.
The real game is now played elsewhere. You need to be present where it counts, even before you are ranked.
Frequently asked questions
