Google Gemini agent turns enterprise AI into persistent coworker

Gemini agent is Google’s clearest statement yet that the future of AI is not a chat box but a persistent, identity-bearing coworker that lives inside your stack. By giving agents their own accounts, inboxes, calendars and storage, and wiring them into Workspace, Slack and other systems, Google is normalising the idea that software can hold roles, run for days and coordinate sub-agents. That is a step change from today’s stateless prompts, even if the underlying models are evolutionary rather than revolutionary.

Strategically, this is about catching and potentially leapfrogging Microsoft’s Copilot franchise and OpenAI’s nascent agent frameworks. Enterprises buy systems, not benchmarks, and a “single entry point” that orchestrates tools, schedules work and enforces budget caps will appeal to CIOs who want one control plane for AI. The decision to let Gemini agents call external models such as Claude is also telling. It acknowledges a multi-model world and positions Google as an orchestrator of capabilities, not just a model vendor.

For the race to AGI, agent platforms like this are the bridge between frontier models and real-world autonomy. As more firms let software handle cross-system workflows with minimal human supervision, we will quickly discover both the power and the failure modes of agentic behavior at scale. That experience loop, and the telemetry it produces, will feed the next generation of models and safety techniques.