Google I/O 2026 wasn't just an occasion to announce new AI models. The broader message was that Google wants to move AI from being a standalone tool to a layer that operates within search, email, video, shopping, augmented reality glasses, and developer tools.

The question is no longer simply: What can the model answer? It's now: How can AI become part of how we use the internet, devices, and services every day?

Search Enters the Agent Era:

The highlight of the conference was the continued rebuilding of the search experience around artificial intelligence. Google announced that AI Overviews had reached more than 2.5 billion monthly active users, a figure that demonstrates that AI-powered search is no longer a marginal experience. It also stated that AI Mode surpassed one billion monthly active users in a single year, describing it as one of the biggest shifts in search history.

This shift means that Google no longer treats search simply as a list of links, but as an interface capable of generating answers, synthesizing information, providing steps, and potentially, in the future, executing tasks. This is where the concept of the "agent age" comes in, a concept the company has emphasized. Instead of users simply asking the search engine for information, Google wants AI to be able to assist in planning, selecting, comparing, and executing within different products.

At the heart of the ecosystem,

Google has introduced significant updates to the Gemini family with the announcement of new models, such as Gemini 3.5 and Gemini Omni. The core idea is that Gemini is no longer just a chatbot; it's a central hub for tasks, media, and cross-app interaction.

According to the company, Gemini 3.5 Flash is part of a new generation that combines speed with the ability to handle more complex tasks. Google highlighted improvements in proxy usage, programming, and long-term tasks. Gemini Omni represents another direction as a multimedia model capable of handling various input types, with a clear focus on video and media editing.

This is significant because it reveals the direction of the AI ​​competition. Major companies are no longer simply competing for a model that writes better text; they're now striving for a model that can understand text, images, audio, video, and personal context, and then seamlessly integrate it across products and services. Among the notable announcements

was

the emergence of Gemini Spark, presented as a personal assistant capable of operating in the background and managing tasks across devices and applications. The idea here is that artificial intelligence is no longer limited to the question-and-answer phase; it can organize tasks, gather information, and connect data from various services, such as email, maps, and calendars.

This trend puts Google in direct competition with other companies attempting to build AI agents capable of working on behalf of the user. However, in Google's case, it takes on a different dimension due to the company's extensive portfolio of everyday products, including search, Gmail, YouTube, Android, Chrome, Workspace, and Maps. The more Gemini can operate within these services, the closer it becomes to a personal operating layer on top of the user's digital life.

The

presence of AI wasn't limited to search; the announcements also included new features in Gmail, YouTube, and shopping. Among the ideas being considered are: more advanced voice interaction within email, new experiences for finding videos or asking content-related questions within YouTube, as well as shopping tools that attempt to help users compare, track offers, and complete purchases in a smarter way.