Google Cloud Next 2026 opened today in Las Vegas with CEO Thomas Kurian taking the stage for an opening keynote titled “The Agentic Cloud.” With more than 200 announcements spanning infrastructure, AI platforms, and developer tooling, the three-day conference (April 22-24) marks the clearest signal yet that AI agents have moved from experiment to enterprise infrastructure.

This is not a preview event. Google Cloud exited Q4 2025 with a 48% year-over-year revenue increase, the fastest growth rate among the Big Three cloud providers. The company is using that momentum to claim the enterprise AI layer before Microsoft and Amazon can consolidate their positions.

What Google Announced

The headline announcements span several areas:

Infrastructure for AI at Scale. Google announced new H4D virtual machines optimized for high-performance computing, along with advances in its Colossus storage architecture and Rapid Storage for AI workloads. The company also confirmed it will be among the first cloud providers to offer NVIDIA Vera Rubin NVL72 rack-scale systems in the second half of 2026, integrated into its AI Hypercomputer architecture.

SaaS Runtime. A new managed runtime environment makes it easier for software companies to build and deliver SaaS products on Google Cloud, reducing the infrastructure complexity that slows most enterprise software projects.

Gemini Enterprise as the Enterprise AI Layer. The most strategically significant announcement was how Google is repositioning Gemini Enterprise from an AI assistant into what Kurian described as the “new front door for AI in the workplace.” The vision is Gemini as an orchestration layer: an agent runtime, a governance system, and a connection point to enterprise systems of record.

New agentic experiences include a Gemini personal agent inside Google Chat, new workflow capabilities that work across the full Workspace suite, and third-party agent integrations with platforms including ServiceNow. Users can now create, share, and run custom AI agents directly from Workspace.

Partner Recognition. KPMG was named 2026 Google Cloud Partner of the Year for Global Industry Solutions: Breakthrough, recognized for deploying Gemini Enterprise at enterprise scale across its clients. Exabeam won the Security Analytics partner award for its work combining Google Cloud with AI-driven security operations.

The Bigger Picture

The framing of “The Agentic Cloud” is deliberate. Google is not talking about AI features anymore. The company is positioning itself as the operating system for agentic enterprise work: orchestration across agents, governance of AI actions, persistent memory across sessions, and integration with the data and systems businesses already use.

This represents a real shift in how enterprise AI is sold. Twelve months ago, the pitch was “here is an AI assistant that can help your team work faster.” The pitch today is “here is infrastructure that runs autonomous AI agents on your behalf across your entire business.”

Google’s customer showcase at the keynote included Verizon, Toyota, Walmart, and Reddit showing production deployments with measurable business impact. These are not pilots.

What This Means for Business

The “Agentic Cloud” framing from one of the three largest cloud platforms means one thing for business leaders: agentic AI is no longer optional infrastructure planning. It is the roadmap.

For companies that have not yet started building with AI agents, this week is a useful forcing function. Google, Microsoft, and Amazon are all shipping enterprise-grade agent infrastructure now. The tooling is mature, the security frameworks are in place, and the reference customers are real.

The companies that will struggle are the ones waiting for “the right time” to start. The Gartner benchmark from earlier this month found that organizations with successful AI initiatives invest up to four times more in data and analytics foundations. That investment needs to start before the agents do.

For businesses thinking about where to start, the most practical entry points are the processes you already know are inefficient: customer intake, internal knowledge retrieval, report generation, and team communication. These are the workflows that voice AI employees and AI agent systems handle well today, without requiring a complete technology overhaul.

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The conference runs through April 24. Expect further announcements on Gemini model updates and security governance tooling over the next two days.