Agentic AI Gemini has arrived, and Google is rolling it out to businesses before consumers. At a Google Cloud event on Thursday, October 8, 2026, the company announced a unified agent that can not only answer questions but also get things done on the user’s behalf, all from a single interface.
The launch marks a shift in how AI tools operate. Instead of functioning purely as conversational experiences, they can now take ownership of assigned tasks, generate code, schedule meetings, book appointments and travel, and more.
Why Businesses Come First
Google’s decision to start with businesses is grounded in adoption. CEO Sundar Pichai noted at the event’s start that Gemini today has over 1 billion monthly active users. He also pointed out that nearly 90% of Fortune 100 businesses now use Gemini Enterprise at work.
Given that corporate footprint, Google will initially focus on bringing the agent to businesses before later rolling it out to consumers. According to Pichai, this lets the company solve the “harder problems around security, scale, and performance” that come with launching powerful agents.
Objectives, Not Just Instructions
Thomas Kurian, CEO of Google Cloud, explained that the new agent can be given “objectives, not just instructions.” That means it is able to plan the work, use custom skills and tools, and connect to businesses’ internal systems to accomplish its goals.
By default, the AI picks the best model to complete the task. Users can also take over to choose a model themselves, including those from third parties, starting with Anthropic’s Claude models. Google said it will expand the model picker to include open source models and other private models in the future.
Requests can include attachments such as files, folders, or other projects designed for specific workstreams, like those that combine files and skills.
Systems and Tools the Agent Connects To
The agent can connect to a business’s data and systems, including Google Workspace, Microsoft 365, Slack, Jira, Confluence, Git, BigQuery, Databricks, Postgres, and Snowflake. It can also connect and work securely with any Model Context Protocol (MCP) server inside or outside the company’s network.
Users can keep track of what Gemini is doing from a “tasks inbox” interface. There, they can see Gemini’s thinking process, the delegation of tasks to subagents, the loading of special skills, code, and overall progress.
A Coworker With Its Own Account
Notably, the AI will have its own Workspace account, as if it is just another co-worker. That means it has its own email address and its own context, Google said.
The agent knows who at the company is on which team, their time zones, who needs to approve items, what is on people’s calendars, and more. Users can call the agent by tagging it, emailing it, sharing with it, or adding it to a group chat. As it takes action, it writes an audit trail attributed to the agent instead of a person.
The agent will be accessible from iOS and Android mobile devices, Windows and Mac desktops, the command line interface, Google Workspace, Microsoft 365, ServiceNow, and Slack.
Early Testers and Enterprise Customers
Early testers of the agent included sportswear brand On, Shopify, and PayPal. Gemini Enterprise customers include large businesses such as BNP Paribas, Bradesco, Merck, Orange Spain, Santee Cooper, SOMPO, Ulta Beauty, and Wesfarmers.
Google said new flexible spending options will help businesses keep their enterprise AI costs under better control. These include multi-model orchestration, smart routing, and real-time spend caps.
What the Agentic Shift Means for Work
For companies already using Gemini Enterprise, this rollout turns the AI into more than a chat tool. It becomes a system that can execute multi-step work across the apps teams already rely on daily.
The choice to launch with businesses first reflects both where Gemini’s adoption is strongest and where the hardest technical challenges live. Security, scale, and performance requirements in the enterprise are stricter than in consumer settings, and Google appears to be using that environment to prove the agent before opening it to a wider audience.
Consumers will have to wait for the broader rollout. For now, the enterprise launch signals the direction Google intends to take: agents that do not just answer questions, but get things done. Agentic AI Gemini is the clearest example yet of that ambition, and its business-first debut sets the stage for what comes next.
