Google unveils enterprise AI agents platform as Cloud reaches $70B revenue with 48% growth
22 Sources
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Google makes an interesting choice with its new agent building tool for enterprises | TechCrunch
Google CEO Sundar Pichai opened the Google Cloud Next conference on Wednesday with a video in which he announced one of the company's biggest new products: Gemini Enterprise Agent Platform. Google's tool is intended for building and managing agents at scale. This is Google's answer to Amazon's
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How Google just revamped Gemini Enterprise for the agentic era - here's what's new
A new Agent Platform streamlines automated work and security. As companies use more agents in their workflows, managing them securely and efficiently becomes a primary challenge. Google just created a possible solution, wrapped in the same accessible interface that many teams are used to. On
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Google on why its all-in-one AI stack embraces competitors
Google Cloud Next Google Cloud's Andi Gutmans said that the company holds a structural advantage over its largest rivals in the race to win value from AI agents in the enterprise, arguing that no competitor currently combines cloud computing infrastructure, frontier AI models, and a data platform
[4]
Google says it has all the answers for AI agent sprawl
As biz agentic bot-wrangling intensifies, company says AI orchestration, security and infrastructure tools on the way Google Cloud Next Google has overhauled its enterprise AI strategy in the wake of the agentic push across the biz landscape, rebranding and expanding its Vertex AI developer
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Pichai opens Cloud Next 2026 with $240B backlog, 750M Gemini users, and a plan to turn Search into an agent manager
Summary: Sundar Pichai opened Cloud Next 2026 with Google Cloud at $70 billion in annual revenue, 48% growth, a $240 billion backlog that doubled in a year, and $175-185 billion in planned capital expenditure. The Gemini app has 750 million monthly users, AI Overviews reach two billion, and the
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Google Cloud Next 2026: AI agents, A2A protocol, Workspace Studio, and the full-stack bet against OpenAI and Anthropic
Summary: Google rebranded and consolidated its AI platform at Cloud Next 2026, renaming Vertex AI to the Gemini Enterprise Agent Platform and absorbing Agentspace into a unified Gemini Enterprise product. The announcements include Workspace Studio (no-code agent builder), 200+ models in the Model
[7]
Google and AWS split the AI agent stack between control and execution
The era of enterprises stitching together prompt chains and shadow agents is nearing its end as more options for orchestrating complex multi-agent systems emerge. As organizations move AI agents into production, the question remains: "how will we manage them?" Google and Amazon Web Services offer
[8]
Gemini Enterprise Agent Platform lets you build, govern, and optimize your agents.
Gemini Enterprise Agent Platform is our new developer platform that has everything your technical teams need to build, scale, govern and optimize agents. Think of it as a one-stop-shop for all of your autonomous agents, built on top of our leading infrastructure and integrated with our data and
[9]
Agentic AI blueprint key focus for Genpact and Google - SiliconANGLE
You can't prompt your way out of complexity: Why enterprise AI is turning to to process intelligence As enterprises navigate the complexities of scaling AI initiatives, the agentic AI blueprint for success lies in combining deep process intelligence with powerful cloud platforms, enabling
[10]
Next '26 - when you don't have enterprise legacy, you build it. Google Cloud's playbook for winning agentic AI trust.
On the first day of Next '26, I asked whether Google Cloud's push to own the enterprise AI governance layer was a realistic competitive proposition - or whether enterprise buyer legacy and a competitive landscape that's seeing ServiceNow, Salesforce, Workday and Microsoft all making the same claim
[11]
Real-time marketing now reality with data and agentic AI - SiliconANGLE
Agentic AI gives CPG brands a real-time edge on marketing spend and product testing Consumer packaged goods companies face mounting pressure to grow profitably while operating on razor-thin margins -- and agentic AI is emerging as the tool that can close the gap between fragmented data and
[12]
Next '26 - control the agents, control the enterprise? Google Cloud enters the battle for enterprise AI governance
The question of who governs enterprise AI agents is clearly becoming one of the most contested in the technology industry. The competition is fierce, as your favourite SaaS vendors and enterprise technology partners all make their pitch for being the 'AI governance and management layer'. As
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Real-time data pipelines for agentic AI execution - SiliconANGLE
How real-time data pipelines are giving AI agents something worth acting on As enterprises race to wire AI into their operations, the infrastructure bottleneck has shifted from model capability to data access -- and the enterprises winning the race are those treating real-time data pipelines as a
[14]
Google Brings All Enterprise AI Agent Tools Under One Roof | PYMNTS.com
At Google Cloud Next 2026, Google announced the Gemini Enterprise Agent Platform, a unified system designed to handle all of it. The platform replaces Vertex AI as Google's primary enterprise AI development environment and bundles agent building, deployment, data integration, security and
[15]
Data foundation is key to building the agentic enterprise - SiliconANGLE
The AI agent race will be won by companies that build the right data foundation The agentic AI boom has an inconvenient truth: Without a solid data foundation, the revolution stops before it starts. Conversations surrounding an emergent agent control plane signal that agentic AI is maturing --
[16]
Google Accelerates Agentic AI Shift With New Enterprise Platform | PYMNTS.com
By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. The company announced these developments Wednesday (April 22) in conjunction
[17]
Google's AI agent platform takes pole position but work remains - SiliconANGLE
Google's AI agent platform takes pole position but work remains Enterprises are rapidly moving from an artificial intelligence that answers questions and generates content to one that performs tasks and takes actions. According to Google Cloud Chief Executive Thomas Kurian, this shift requires a
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Context engineering is missing layer in agentic AI - SiliconANGLE
OpenText and Google target the data layer gap holding back enterprise agentic AI Organizations racing to deploy agentic AI are discovering that raw model performance is only part of the equation -- context engineering is the key to managing decades of unstructured, ungoverned data trapped inside
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Maximizing Gemini: Google Cloud makes its bid to build the operating system for enterprise AI - SiliconANGLE
Maximizing Gemini: Google Cloud makes its bid to build the operating system for enterprise AI Google LLC has emerged as the only cloud "hyperscaler" with a leading frontier artificial intelligence large language model - Gemini - and today it issued a raft of announcements designed to capitalize on
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The agent control plane hits overdrive at Next 2026 - SiliconANGLE
The decisive layer in AI is still unclaimed: theCUBE's Google Cloud Next day one keynote analysis The fight for the agent control plane is underway -- and it might determine who controls enterprise AI for the next decade. Google LLC came into Google Cloud Next 2026 with a clearer positioning for
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With Gemini Enterprise Agent Platform, Google brings agentic development and control under one roof - SiliconANGLE
With Gemini Enterprise Agent Platform, Google brings agentic development and control under one roof Google Cloud is taking a massive leap toward building the autonomous enterprise with the launch of the Gemini Enterprise Agent Platform, an evolution of the existing Vertex AI platform that becomes
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Google puts Gemini Enterprise at the heart of the new agentic taskforce for enterprise automation - SiliconANGLE
Google puts Gemini Enterprise at the heart of the new agentic taskforce for enterprise automation Google Cloud is on a mission to accelerate the adoption of artificial intelligence agents across enterprise computing environments, paving the way for a new era where AI can automate many of the most
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Google launched its Gemini Enterprise Agent Platform at Cloud Next 2026, positioning itself as the only provider combining AI infrastructure, frontier models, and data platforms under one roof. With Google Cloud hitting $70 billion in annual revenue and a $240 billion backlog, the company is betting on integrated tools for building and managing AI agents at enterprise scale while competitors like Amazon and Microsoft pursue fragmented approaches.
Google Positions All-in-One AI Stack Against Fragmented Competition
Google CEO Sundar Pichai opened the Google Cloud Next conference with numbers that underscore the company's aggressive push into enterprise AI. Google Cloud now generates more than $70 billion in annual revenue, growing at 48% year-over-year, with a backlog of $240 billion that doubled in just one year
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. The centerpiece announcement was the Gemini Enterprise Agent Platform, Google's answer to Amazon's Bedrock AgentCore and Microsoft Foundry, designed specifically for building and managing AI agents at scale1
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Source: SiliconANGLE
Andi Gutmans, who runs Google Cloud's data business, told The Register that Google holds a structural advantage over its largest rivals. "We're really the only provider that has the AI infrastructure, the model and the data platform," he said, contrasting Google's integrated approach with competitors who must cobble together services from multiple vendors
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. The all-in-one AI stack includes Google's custom TPU chips, Gemini models, and cloud platform, creating what the company argues is a unique advantage as enterprises shift from human-scale to agent-scale operations.Gemini Enterprise Agent Platform Targets IT Teams First
In an interesting strategic choice, Google has positioned its agent building tool primarily for IT and technical teams rather than business users
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. Given that AI agents are furthest along for technical tasks like coding, and that security remains a real concern for enterprises adopting this new technology, the platform evolved from Vertex AI to bring together model selection, building, tuning services, and new features for agent integration, security, DevOps, orchestration, and more2
.The platform offers access to over 200 models, including Gemini 3.1 Pro, Nano Banana 2, Gemma open models, and competitive models from Anthropic, such as its just-released Opus 4.7, plus Claude Opus, Sonnet and Haiku
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. Google emphasized that Vertex AI services will now flow through Agent Platform exclusively, making it the central hub for enterprise AI development.Building and Managing AI Agents From Development to Deployment
The Gemini Enterprise Agent Platform is organized around four pillars: build, scale, govern, and optimize
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. Developers can design an agent's life cycle from start to finish using tools like Agent Studio, a low-code interface for creating agents using natural language, and an upgraded Agent Development Kit with a graph-based framework for orchestrating multiple agents working together2
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Source: SiliconANGLE
MCP support and the tiered approach help developers maximize reasoning capabilities by structuring agents into sub-networks, enabling them to handle complex tasks
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. Features like faster runtime and Memory Bank help agents delegate to each other more efficiently and operate with more context for longer, with persistent memory across sessions rather than starting from scratch each time2
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.Security and Governance Tackle Agent Sprawl Concerns
As the challenge facing businesses shifts from building individual AI agents to managing hundreds or thousands of them at once, governance capabilities may matter most to enterprise buyers
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. Google has baked security into the platform through tools such as Agent Identity, which assigns each agent a cryptographic ID with defined authorization policies, creating an auditable trail of every action2
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.Agent Gateway acts as the enforcement layer for agent ecosystems, protecting against prompt injection, tool poisoning, and data leakage, while Agent Anomaly Detection flags suspicious behavior by analyzing the intent behind agent actions
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. For testing before deployment, Agent Simulation lets developers "stress-test your agents against real-world scenarios before they ship"2
. Google emphasized that the platform "provides the same level of oversight and auditability found in essential business applications like payroll or quarterly financial reporting"2
.Agentic Enterprise Vision Extends Beyond Developer Tools
While the Agent Platform targets technical teams, business users can access the Gemini Enterprise app, introduced in the fall, where they can work with agents built by IT or build their own for tasks like scheduling meetings, performing trigger-based processes, creating shortcuts for repetitive tasks, or creating and editing files without switching apps
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. The app sits atop Agent Platform, which standardizes governance and security across both no-code and pro-code agents2
.Google Cloud CEO Thomas Kurian told reporters that the early versions of AI models focused on answering questions, but now "we're seeing as the models evolve people wanting to delegate tasks and sequences of tasks to agents"
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. The company also announced Workspace Intelligence, which uses Gemini reasoning to understand complex semantic relationships within Workspace apps content, active projects, collaborators, and organizational domain knowledge2
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Source: SiliconANGLE
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Model Improvements Drive Complete Re-Engineering of Data Agents
Gutmans revealed that Google spent the past year and a half rethinking its data platform for the shift to agent scale, with the arrival of Gemini 2.5 representing a tipping point in reasoning capability
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. "We've completely re-engineered every single one of our agents in the last year," he said, including conversation analytics, data science, and data engineering agents3
. The company has roughly 80 data-related announcements at the conference, with nearly every agent product rebuilt in the past year.Approaches that required months of manual ontology-building are no longer necessary. "A year ago, people would be like, 'Let me get Palantir and get 20 people and work for six months and build an ontology.' That's not how you would approach it anymore," Gutmans explained
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. The new Knowledge Catalog is designed to make roughly 90 percent of enterprise data that remains unstructured available to agents without requiring armies of data engineers to prepare it manually.Platform Metrics Signal Shift to Agentic Workflows
Pichai cited internal adoption statistics as evidence of a shift toward agentic workflows, noting that 75 percent of all code at Google is now AI-generated and approved by engineers, up from 50 percent last fall
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. The Gemini app has reached 750 million monthly active users as of Q4 2025, while AI Overviews reach two billion monthly users across more than 200 countries5
. The Gemini API processed 85 billion requests in January 2026 alone, a 142% increase from 35 billion in March 2025, with eight million paid Gemini Enterprise seats deployed across 2,800 companies5
.Gutmans argued that the integrated stack becomes critical as enterprises move to agent scale, where the economics of running agents rewards providers that control more of the stack. "If you're going to have to bend the price-performance curve or it's going to be too expensive," he said, emphasizing that scaling the management and deployment of AI agents requires tight integration between infrastructure, models, and data platforms
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. The number of billion-dollar deals Google Cloud signed in 2025 exceeded the combined total of the three previous years, with existing customers outpacing their own commitments by 30%5
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