Gemini Shifts to Agent Mode: Google's Announcements at I/O 2026

At its annual Google I/O 2026 conference, Sundar Pichai announced the move into the era of Gemini agents: AI assistants that will carry out complex tasks on their own in the browser, in apps and across Google services.

What Gemini agents are

The new generation of Gemini is no longer just a chatbot that answers questions. It is a full-fledged agent that can see the screen, make decisions and perform multi-step operations. When you give it a task such as "book me a flight for next Tuesday," the agent navigates the browser on its own, checks schedules, compares prices and completes the purchase.

The functionality is not limited to the web. Agentic versions of Gemini are built into Android, Google Workspace (Gmail, Docs, Sheets, Slides) and even search. In Gmail, the agent can sort emails, write short summaries of correspondence and reply to routine requests. In Sheets, it can build charts from data, fill in cells automatically and spot patterns. In Docs, it can refactor text, find contradictions and improve readability.

Under the hood, this works thanks to a significant improvement in Gemini's ability to interpret pixels on the screen and generate meaningful actions. The model has become more precise in its logic and less prone to random errors.

Use cases

The capabilities in Workspace are especially interesting for companies. Suppose you need to prepare a quarterly report: the agent pulls data from analytics, inserts it into a spreadsheet, draws charts and writes conclusions. A task that would take about two hours is done in minutes.

Consider a few specific scenarios:

• Automatic CRM entry based on incoming emails
• Building presentations from a template with your data
• Analyzing large datasets and highlighting trends
• Formatting documents with the required structure and templates
• Converting content between formats

For example, a marketing department can use the agent to collect metrics from different systems, analyze them and produce statistics. HR will be able to automate the processing of vacation requests and update employee registries faster. Engineers will be able to hand the agent the job of writing unit tests based on source code.

Where the pitfalls may lie

Of course, Google does not hide that these are first versions. The agent may make a mistake if it runs into a non-standard interface or a page that requires a captcha. Sometimes the result differs slightly from what the user had in mind. So for critical operations, such as large financial transactions, human oversight is still needed.

Privacy is also a concern. The agent sees the whole screen, including private data. Google assures users that everything is encrypted and processed in line with its privacy policy, but corporate IT departments have yet to verify this.

There is also the question of compatibility: not all websites and apps are inclined to tell a browser agent about their structure. Some may treat the agent's activity as unsafe and block it.

What this means

This is a landmark moment for AI. Where neural networks used to help people (suggestions, editing, search), they can now act relatively independently. That opens up huge potential for automating routine work. But it will also require companies to rethink their processes and tighten control over data.