Gemini Enterprise Agentic is born: all the new features of Google Cloud Next 2026

Las Vegas - During the Google Cloud Next '26 conference being held these days in Las Vegas, Google Cloud presented the Gemini Enterprise Agentic Platform, an environment designed to radically transform the role of artificial intelligence in organisations: no longer mere conversational assistants, but autonomous agents capable of perceiving, reasoning and acting within business processes. During his speech on stage, CEO Thomas Kuria also confirmed the release of an improved version of Apple Siri by 2026, based on Gemini and running on Google Cloud.

Driving most of this year's announcements, however, is the concept of the 'Agentic Enterprise', a new phase in which AI becomes an integral part of the operational flows of large companies. As Kurian pointed out, "Gemini Enterprise is now the end-to-end system for the Agentic Era - the connective tissue between data, people and all apps and agents, transforming all business processes into one intelligent flow."

The Gemini Enterprise Agentic Platform is designed to provide technical teams with a complete environment to develop, orchestrate, govern and optimise large-scale AI agents, equipping them with the reliability to handle business-critical processes. The core of the platform integrates Vertex AI capabilities with new tools dedicated to the operational management of agents. Key components include low-code environments such as Agent Studio, advanced orchestration mechanisms between agents and dedicated identity and security systems, which are also the result of the integration of the recent Wiz acquisition. On the technological front, the platform offers direct access to advanced models such as Gemini 3.1 Pro, Gemini 3.1 Flash Image and Lyria 3, alongside Anthropic models, including Claude Opus and its most recent evolutions. Thanks to the Agent Marketplace, it will also be easy to implement specialised agents produced by partners such as Atlassian, Box, Oracle, ServiceNow, Workday and many others.

One of the distinctive elements of the Google Cloud proposition is the ability to accompany agents throughout their life cycle, from experimentation to production. The platform introduces runtimes optimised to reduce latency, support for long-running agents and persistent memory systems that allow the operational context to be maintained over time.

This approach aims to solve one of the main limitations of current enterprise AI: the difficulty in bringing experimental solutions into complex production environments. With Gemini Enterprise, the goal becomes industrialising the use of AI agents, ensuring business continuity and control, with governance taking a central role.