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For the past two years, the AI conversation inside most companies has been about the same thing: how do we get our employees to use ChatGPT more? How do we summarize emails faster? How do we write reports with fewer drafts? That era is over.
What Google announced at Cloud Next '26 in Las Vegas on April 22, 2026 isn't about making individual employees more productive. It's about something fundamentally different — turning AI from a tool you talk to into a member of your team that actually does the work. Not assists. Not suggests. Does.
The numbers Google shared on stage make it clear this isn't experimental anymore. Nearly 75% of Google Cloud customers are already using their AI products to power their businesses. 330 customers processed over one trillion tokens each in the past 12 months alone. And their models now handle more than 16 billion tokens per minute via direct API — up from 10 billion just last quarter.
That's not a pilot program. That's infrastructure at civilizational scale.
The centerpiece of the entire conference was one announcement: Gemini Enterprise is now an end-to-end system for the agentic era, built for agents that can execute complex, multi-step work processes. It combines frontier AI models, an intuitive UI, a secure development framework, and the ability to deploy agents at scale.
Here's what that actually means — and why it matters for anyone running a business, building products, or trying to understand where work is heading. And if you want to see what a single AI tool looks like when it handles research, slides, and websites all in one place for smaller teams, check out our breakdown of Skywork AI.
TL;DR
On April 22, 2026, Google launched Gemini Enterprise Agent Platform at Cloud Next '26 in Las Vegas. It's the evolution of Vertex AI — a complete system for building, scaling, governing, and optimizing AI agents inside companies. Key features include no-code Agent Designer, long-running autonomous agents, Agent Inbox, Skills, and access to 200+ models including Gemini 3.1 Pro and Claude Opus 4.7. Available now at console.cloud.google.com/agent-platform.
What Google Actually Announced at Cloud Next '26
The conference happened April 22, 2026 in Las Vegas. Google didn't come with one announcement — they came with 260. But everything pointed in one direction.
The entire event was anchored by a unified stack designed to turn intelligence into a growth engine — covering Gemini Enterprise Agent Platform, 8th Generation TPUs, Agentic Data Cloud, Agentic Defense, and an Agentic Taskforce with new capabilities across Gemini for Customer Experience and Google Workspace.
That's a lot of words. Here's what it actually means in plain English:
Google decided that the "AI as productivity tool" era is ending. The new era — what they're calling the Agentic Era — is about AI that doesn't wait for instructions. It plans. It executes. It monitors its own work. It reports back.
On April 22, 2026, Google Cloud announced the platform that redefines its enterprise AI stack: the Gemini Enterprise Agent Platform, a direct evolution of Vertex AI, which brings into a single environment everything needed to build, scale, govern, and optimize enterprise-class autonomous agents.
The platform launched the same day it was announced. Access goes through the Google Cloud console, at console.cloud.google.com/agent-platform/overview.
What Is Gemini Enterprise and How Is It Different From Regular Gemini?
This is the question most people get wrong. Gemini — the chatbot you've probably used — is a general-purpose AI assistant. You ask it things. It answers. Same as ChatGPT. Same paradigm.
Gemini Enterprise is something different at a structural level.
Think of it as the difference between hiring a consultant who gives you advice versus hiring an employee who shows up every day and gets things done. One talks. The other works.
Companies are increasingly frustrated by the "human-in-the-loop" bottleneck — the need for a person to sit and prompt an AI through every single step of a multi-stage project. Gemini Enterprise is designed to eliminate that bottleneck entirely.
The platform has four components working together:
• Gemini Enterprise App — the front door for every employee in the organization
• Agent Platform — the developer environment (evolution of Vertex AI) for building custom agents
• Model Garden — access to 200+ models including Gemini 3.1 Pro, Claude Opus 4.7, Gemma 4, and Lyria 3
• Governance Layer — Agent Identity, Agent Registry, Agent Gateway, and Model Armor covering security across the entire stack
The Four Features That Actually Change How Work Gets Done
Agent Designer — Building Agents Without Code
Agent Designer is an interactive no-code, low-code platform for creating, managing, and launching single and multi-step agents in Gemini Enterprise. You can create and preview custom agents using natural language prompts, visually edit agent workflows using the interactive flow canvas, and orchestrate complex tasks using multi-step agents that connect to Gmail, Google Drive, Jira, and third-party systems.
In practice: an HR manager with zero technical background can build an agent that automatically reviews job applications against set criteria, shortlists candidates, sends interview invitations, and logs everything in a spreadsheet — without writing a single line of code.
Long-Running Agents — AI That Works While You Sleep
This is the genuinely new part. Previous AI tools needed a human actively prompting them through each step. Long-running agents are designed to execute complex business processes. They work autonomously in secure cloud sandboxes, orchestrate business logic, write code to build custom tools, and complete multi-step work like reconciliation activities or sales prospect sequencing — without needing constant prompting.
Google says these agents can work autonomously for up to days at a time. You assign a task. You close your laptop. You come back to results.
Agent Inbox — Mission Control for Your AI Workforce
Inbox is a central command location to monitor, guide, and securely manage all agent activity. Notifications are categorized into actionable groups like "Needs your input," "Errors," and "Completed," giving you a clear, consolidated view of ongoing agent progress across your entire organization.
Think of it like a manager's dashboard — except instead of managing people, you're managing a fleet of AI agents running different tasks simultaneously.
Skills — Reusable Expertise at Scale
Users can codify their unique expertise into Skills that formalize specific workflows — such as applying brand guidelines to a project or formatting a report in a particular way — and save them so others in the organization can use the same actions. The agent draws on the appropriate skill automatically, without needing the context re-explained every time.
How Google Is Handling Security and Control
The hardest question anyone asks about autonomous AI in a company is: what happens when it does something we didn't intend? Google's answer at Cloud Next '26 was detailed and specific — not a vague "we take security seriously" statement.
• Agent Identity — assigns a unique cryptographic ID to each agent for complete traceability and auditing, mapped back to defined authorization policies
• Agent Registry — a central library indexing all internal agents and skills, ensuring only approved assets are accessible across the organization
• Agent Gateway — the "air traffic control" for all agents, providing secure, unified connectivity between agents and tools across any environment
• Model Armor — protects against prompt injection, tool poisoning, and sensitive data leakage at the model level
And for organizations with the strictest compliance requirements — banks, hospitals, law firms — Gemini Enterprise strictly respects native permissions in Google Workspace, Microsoft 365, and all connected systems, ensuring teams get powerful insights without compromising governance or user access controls.
Real Companies Already Using This
Google didn't just announce features at Cloud Next '26. They brought receipts.
• The Home Depot — using Gemini to power a phone and in-store assistant that gives shoppers expert advice and finds answers faster
• Papa John's — using an Ordering Agent that remembers customers' "usual" order and gets them what they want faster
• Comcast — rebuilt their Xfinity Assistant with ADK, delivering personalized troubleshooting and reducing repeat customer interactions significantly
• Payhawk — financial agent integrated into Gemini Enterprise cut expense report submission time by 50% using Agent Memory Bank
• Unilever — deploying agents throughout its organization to serve its 3.7 billion consumers globally
These aren't pilot programs. These are production deployments at companies with millions of customers and no room for error.
What This Means for the Microsoft vs. Google Competition
Both companies are racing to the same destination — AI that runs business processes autonomously. Microsoft has Copilot Studio and the Microsoft 365 agent framework. Google now has Gemini Enterprise Agent Platform.
The key difference right now: Google isn't building a separate AI layer on top of existing products. They're replacing the foundation entirely. All future Vertex AI services and roadmap evolutions will be delivered exclusively through Agent Platform — not as a standalone service.
The $750 million partner innovation fund Google announced — investing in partners with new models, tools, engineering support, and incentives to accelerate agent development globally — signals how seriously they're treating this as a long-term platform play, not a feature release.
The Agent Gallery already has 70+ pre-built agents from partners including Accenture, Adobe, Atlassian, Deloitte, Lovable, Oracle, Salesforce, ServiceNow, and Workday. That ecosystem builds a moat that's hard to replicate quickly.
My Personal Take
Something shifted at Cloud Next '26. Not in the technology itself — autonomous agents have been technically possible for a while. What shifted is who can use them.
Before this announcement, building AI agents that could operate independently inside a company required a team of engineers, months of integration work, and a tolerance for things breaking in unexpected ways. The Agent Designer announcement changes that. When a non-technical employee can build a workflow agent using plain English, and that agent can run for days without human intervention, the question isn't "can companies use this?" anymore. The question is "which companies will refuse to?"
The honest caveat though: Google hasn't published public pricing. This is, for now, a platform built for large organizations with IT departments, compliance teams, and Google Cloud budgets. Individual users and small businesses aren't the target here.
But the direction is clear. What enterprise gets first, everyone gets eventually. The agent era isn't coming. It's already here.
Sources
• Google Cloud Blog — Welcome to Google Cloud Next '26 (Official)
• Google Cloud Blog — Introducing Gemini Enterprise Agent Platform (Official)
• Google Cloud Blog — The New Gemini Enterprise (Official)
• Google Cloud Blog — What's New in Gemini Enterprise (Official)
• Google Cloud Blog — Cloud Next '26 Complete Wrap-Up: All 260 Announcements
• Google Blog — Sundar Pichai on Cloud Next 2026
• Computerworld — Gemini Enterprise Update: AI Agents Into Collaborative Workflows
• SiliconANGLE — Google Puts Gemini Enterprise at Heart of Agentic Taskforce
• Virtualization Review — Gemini Enterprise Agent Platform Leads AI-Centric News
• Pasquale Pillitteri — Complete Guide to Gemini Enterprise Agent Platform
• Google Cloud Documentation — Agent Designer Official Docs
Frequently Asked Questions
Is Gemini Enterprise the same as regular Gemini?
No. Regular Gemini at gemini.google.com is a general-purpose AI assistant — you chat with it, it responds. Gemini Enterprise is a complete platform for building, deploying, and managing autonomous AI agents inside organizations. Different product, different purpose, different pricing model.
When was this announced and is it available now?
Announced and launched April 22, 2026 at Google Cloud Next '26 in Las Vegas. The Agent Platform is generally available through the Google Cloud console at console.cloud.google.com/agent-platform/overview. Some features within the Gemini Enterprise app are rolling out over the coming months.
Do I need to know how to code to build agents?
Not anymore. The Agent Designer allows non-technical employees to build trigger-based and schedule-based agents using natural language or a visual flowchart interface. Developers who want deeper control can use the Agent Development Kit (ADK) with Python.
What models can I use inside Gemini Enterprise?
Over 200 models through Model Garden, including Gemini 3.1 Pro, Gemini 3.1 Flash Image (Nano Banana 2), Lyria 3 for audio, Gemma 4 open-weight, and third-party models including Anthropic's Claude Opus 4.7, Sonnet, and Haiku.
How much does Gemini Enterprise cost?
Google hasn't published public pricing. Pricing is handled through enterprise contracts that vary based on volume, contract length, and support level. Contact Google Cloud sales or a Google Cloud reseller for a quote.
How is security handled?
Every agent gets a unique cryptographic ID (Agent Identity) for full traceability. Agent Gateway controls all connectivity between agents and your data. Model Armor protects against prompt injection and data leakage. The system respects existing permissions in Google Workspace, Microsoft 365, and other connected systems.
What's the difference between Gemini Enterprise Agent Platform and Vertex AI?
Gemini Enterprise Agent Platform is the evolution and replacement of Vertex AI. Going forward, all Vertex AI services and roadmap updates will be delivered exclusively through Agent Platform. Existing Vertex AI APIs remain backward compatible.
Will this replace human employees?
Google frames it as agents handling repetitive, multi-step processes so employees can focus on strategic and creative work. The honest answer is that some roles will change significantly, particularly those centered on data collection, report generation, and workflow coordination.
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