Launch · TechCrunch ·

Google Turns Gemini Into an AI Agent That Gets Things Done

Google launched a unified agentic AI in Gemini that can plan, execute tasks, delegate to subagents and work across business apps from a single interface.

Based on reporting by TechCrunch — analysis by dalili

Google has brought its Gemini AI into the agentic era with the launch of a unified agent that can plan, execute tasks and work across business applications from a single interface. Announced at a Google Cloud event, the move transforms Gemini from a conversational assistant into a system that can take ownership of assigned work on behalf of users.

The new agent can delegate tasks to specialized subagents, use multiple AI models for different parts of a workflow, and operate across Google Workspace and third-party business tools. It represents Google's most ambitious push yet into the agentic AI space, where the goal is not just answering questions but completing multi-step processes autonomously.

The launch arrives amid intensifying competition in the agent space. Meta has deployed its consumer-facing Muse agent, while OpenAI recently debuted Dots, and several startups have built messaging-based agents like Instinct. Google's enterprise-first approach gives it a distinct angle, targeting business workflows where the complexity of multi-system coordination creates the most value.

Google says the agent was built with its existing Cloud infrastructure in mind, meaning enterprises already using Google Workspace can adopt it without significant migration. The company also emphasized guardrails, noting that the agent requires explicit user approval before executing high-stakes actions like financial transactions or external communications.

Industry analysts see the move as Google's answer to Microsoft's Copilot strategy, which has embedded AI agents across its Office suite. The battle for enterprise AI dominance is shifting from chatbots that answer questions to agents that complete work.

Key takeaways

  • Google Gemini is now a unified agent that plans and executes tasks
  • Can delegate to subagents and use multiple AI models per workflow
  • Enterprise-first approach targets complex multi-system business workflows
  • Requires explicit user approval for high-stakes actions

Why it matters

The shift from chatbots to agents marks the most significant evolution in enterprise AI since GPT-4. Google entering the race with a unified agent that spans its entire business suite means enterprises will soon choose between ecosystems of agents, not just individual models. The enterprise AI market is being redrawn.