Google Cloud pitches itself as the operating system for enterprise AI agents
New CapabilitiesFour months after Cloud Next 2026, Google's platform bet has concrete form: a shipped agent runtime and governance layer, with 150 organizations running its A2A interoperability protocol in production.
April 22nd, 2026: Cloud Next 2026 opens with 'The Agentic Cloud' keynoteNew here? Follow stories to track developments over time. Create a free account to get updates when stories you care about change.
Overview
Updated Aug 27Four months after Cloud Next 2026, Google's agentic pitch has shipped. In April it folded Vertex AI into the Gemini Enterprise Agent Platform, adding a low-code Agent Studio and a runtime that keeps state for days. Agent Gateway routes and inspects agent traffic; Agentic Data Cloud gives agents governed access to BigQuery and other data engines over the Model Context Protocol.
Adoption numbers support the bet. Nearly three-quarters of Google Cloud customers use its AI products, and Gemini Enterprise paid users grew 40% quarter over quarter in Q1 2026. The Agent-to-Agent protocol now runs in production at 150 organizations, including Microsoft, AWS, and Salesforce, though Google still trails both rivals in overall cloud market share.
Why it matters
The company that becomes the default runtime for enterprise AI agents could dominate cloud spending for the next decade.
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Google Cloud is Alphabet's enterprise cloud division, the third-largest global cloud infrastructure provider behind AWS and Microsoft Azure.
Microsoft Azure is the second-largest cloud platform and Google Cloud's most direct competitor in enterprise AI, leveraging its close partnership with OpenAI and deep integration with Microsoft 365 and Dynamics 365.
AWS is the largest cloud infrastructure provider by market share, pursuing an agentic AI strategy centered on Amazon Bedrock Agents and a model-agnostic marketplace approach backed by a multi-billion-dollar investment in Anthropic.
Timeline
August 2023 April 2026
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Cloud Next 2026 opens with 'The Agentic Cloud' keynote
Latest Product LaunchThomas Kurian opened Google Cloud Next 2026 in Las Vegas by positioning Google Cloud as a full enterprise operating system for autonomous AI agents—not just an AI feature provider. Gemini was presented as an orchestration layer, agent runtime, governance system, and enterprise integration hub.
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Gemini Enterprise Agent Platform unveiled
Product LaunchGoogle folded Vertex AI into the Gemini Enterprise Agent Platform, adding low-code Agent Studio, an upgraded Agent Development Kit, an Agent Runtime that keeps long-running agents in memory for days, and Agent Identity, Registry, and Gateway for governance and security.
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Agentic Data Cloud introduced
Product LaunchGoogle introduced Agentic Data Cloud, an AI-native data layer giving agents permission-aware access to BigQuery, Spanner, AlloyDB, Cloud SQL, and Looker over the Model Context Protocol, with a Knowledge Catalog that infers business meaning across the data estate.
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A2A protocol reaches 150 organizations in production
Industry StandardAt Cloud Next, Google's Agent-to-Agent protocol reached version 1.2 under Linux Foundation governance, with signed agent cards. Microsoft, AWS, Salesforce, SAP, and ServiceNow run A2A in production environments.
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Google launches A2A protocol and Agentspace at Cloud Next 2025
Product LaunchGoogle unveiled the Agent-to-Agent protocol, an open standard for interoperability between AI agents from different vendors, and Agentspace, an orchestration product for enterprise agent management. About 50 partners signed on at launch.
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Anthropic releases Model Context Protocol
Industry StandardAnthropic open-sourced its Model Context Protocol (MCP), a standard for connecting AI models to external data and tools. It was rapidly adopted across the industry and became a building block for agentic AI systems.
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Microsoft unveils agentic AI tools at Ignite 2024
CompetitiveMicrosoft announced Copilot Studio for building custom AI agents and Azure AI Agent Service, signaling its own pivot from passive copilots to autonomous agents integrated into Office and Dynamics.
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Salesforce launches Agentforce at Dreamforce 2024
CompetitiveSalesforce chief executive Marc Benioff declared the copilot era dead and launched Agentforce, a suite of autonomous AI agents for sales, service, and marketing. The enterprise industry's language shifted from 'copilots' to 'agents.'
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Cloud Next 2024: Gemini replaces Duet AI, Agent Builder debuts
Product LaunchGoogle rebranded its AI tools under the Gemini name and launched Vertex AI Agent Builder, marking the first explicit shift from AI assistance to AI agents in Google's enterprise messaging.
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Google Cloud launches Duet AI at Cloud Next 2023
Product LaunchGoogle introduced Duet AI as its umbrella brand for generative AI assistants across Workspace and Cloud, along with major Vertex AI enhancements. The 'AI copilot' era began in earnest.
Historical Context
3 moments from history that rhyme with this story — and how they unfolded.
Salesforce and the SaaS platform shift (1999–2012)
Salesforce launched in 1999 arguing that enterprises should rent software as a service rather than install it on their own servers. Incumbents like Oracle, SAP, and Microsoft dismissed the model as insecure and unsuitable for serious enterprise use. Salesforce's 'No Software' campaign was provocative and polarizing.
Enterprise adoption was slow—it took nearly a decade for SaaS to move from early adopters to mainstream acceptance. Security and data-sovereignty concerns were persistent objections.
SaaS became the default enterprise software delivery model. The incumbents who initially dismissed it were forced to rebuild their products for the cloud. The transition from license revenue to subscription revenue took most of them 5–10 years.
The shift from 'AI copilots' to 'autonomous AI agents' echoes the shift from on-premise to SaaS: incumbents are skeptical, early adopters are enthusiastic, and the governance concerns (security, control, auditability) sound remarkably similar. If the pattern holds, adoption will be slower than boosters predict but more total than skeptics expect.
Cloud platform wars: AWS vs. Azure vs. Google (2006–2020)
Amazon Web Services launched in 2006 and ran effectively unopposed for years. Microsoft Azure launched in 2010 and used its enterprise relationships and Office integration to climb to second place. Google Cloud, despite superior technology in areas like Kubernetes and BigQuery, consistently struggled in enterprise sales and remained a distant third.
AWS established market dominance that persists. Microsoft closed the gap by bundling Azure with enterprise agreements. Google hired Thomas Kurian from Oracle in 2019 specifically to fix its enterprise sales problem.
The pattern established that technical superiority alone does not win platform wars—distribution, enterprise relationships, and ecosystem lock-in matter more. Google learned this lesson painfully.
Google's 'Agentic Cloud' pitch is an attempt to reset the competitive dynamics of cloud computing around a new paradigm—AI agents—where its Gemini model and A2A protocol could provide a first-mover advantage that raw infrastructure scale did not.
The mobile platform duopoly (2007–2013)
Apple launched the iPhone in 2007 and controlled a tightly integrated hardware-software-services stack. Google responded with Android, an open platform available to any hardware maker. Dozens of competitors—BlackBerry, Windows Phone, Palm—offered technically capable alternatives. Within six years, only two platforms survived.
Apple won the premium segment through integration. Android won market share through openness and manufacturer diversity. Everyone else was eliminated.
The duopoly locked in for over a decade. App developers built for two platforms, creating a self-reinforcing ecosystem barrier that no competitor could overcome.
Google is running the Android playbook again—championing openness (A2A protocol) against Microsoft's more integrated approach (agents embedded in Office). The question is whether enterprise AI agents will consolidate into a duopoly the way mobile did, and whether Google's openness strategy will capture enough share to survive the consolidation.
