Google launches agentic AI for Gemini, starting with businesses
agents gemini google
| Source: TechCrunch | Original article
Google is adding agentic capabilities to Gemini, letting the AI plan, execute tasks and work across business apps while operating under its own workplace identity.
Google announced at a Google Cloud event on Thursday that its Gemini platform is being upgraded into a full‑featured AI agent for enterprises. The new “Gemini agent” can not only answer queries but also plan, execute and hand off work across a suite of business applications. It is equipped to create and manage sub‑agents, draw on multiple underlying models, and even operates under a dedicated workplace identity complete with its own email address. Integration points include code generation, Gmail and other common productivity tools, allowing the agent to act on behalf of users from a single interface.
The move marks a shift from conversational AI toward “agentic” systems that take ownership of tasks, a trend that has accelerated as firms look to automate routine workflows. By giving Gemini a persistent identity and the ability to delegate to specialized sub‑agents, Google aims to reduce friction between AI output and enterprise execution, potentially cutting the time needed to move from insight to action. The announcement builds on Google’s earlier rollout of a one‑stop Gemini agent for work tasks, reported on 8 October 2026, by adding deeper orchestration capabilities and a more autonomous operating model.
What to watch next includes the rollout timeline for enterprise customers and the availability of custom‑agent building tools that Google promises for “every stage of your business.” Analysts will be keen to see how Google balances the new autonomy with security, governance and human oversight, especially as the company’s AI‑Native Product Factory promises to embed those controls into the agentic workflow. Competitive responses from Anthropic’s Critical Infrastructure Defense Program and other AI‑driven productivity suites will also shape the emerging market for enterprise‑grade AI agents.
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