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Google Cloud pitches itself as the operating system for enterprise AI agents

Google Cloud pitches itself as the operating system for enterprise AI agents

New Capabilities

Four 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' keynote

Overview

Updated Aug 27

Four 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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Key Indicators

500+
Conference sessions
Google Cloud Next 2026 ran April 22–24 with over 500 sessions, the largest Next to date
#3
Google Cloud market position
Google Cloud trails Amazon Web Services and Microsoft Azure in global cloud infrastructure market share
150
Organizations running A2A in production
Google's Agent-to-Agent protocol moved from 50 launch partners to 150 organizations running it in production, including Microsoft, AWS, Salesforce, SAP, and ServiceNow; v1.2 is governed by the Linux Foundation
75%
Google Cloud customers using AI products
Nearly three-quarters of Google Cloud customers use the company's AI products, per CEO Thomas Kurian at Cloud Next
50%
Q4 2025 revenue growth vs. prior year
Google Cloud grew 50% year over year in Q4 2025, the fastest of the three largest cloud providers

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People Involved

Organizations Involved

Timeline

August 2023 April 2026

10 events Latest: April 22nd, 2026 · 5 months ago
Tap a bar to jump to that date
  1. Cloud Next 2026 opens with 'The Agentic Cloud' keynote

    Latest Product Launch

    Thomas 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.

  2. Gemini Enterprise Agent Platform unveiled

    Product Launch

    Google 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.

  3. Agentic Data Cloud introduced

    Product Launch

    Google 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.

  4. A2A protocol reaches 150 organizations in production

    Industry Standard

    At 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.

  5. Google launches A2A protocol and Agentspace at Cloud Next 2025

    Product Launch

    Google 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.

  6. Anthropic releases Model Context Protocol

    Industry Standard

    Anthropic 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.

  7. Microsoft unveils agentic AI tools at Ignite 2024

    Competitive

    Microsoft 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.

  8. Salesforce launches Agentforce at Dreamforce 2024

    Competitive

    Salesforce 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.'

  9. Cloud Next 2024: Gemini replaces Duet AI, Agent Builder debuts

    Product Launch

    Google 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.

  10. Google Cloud launches Duet AI at Cloud Next 2023

    Product Launch

    Google 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.

1999–2012

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.

Then

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.

Now

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.

Why this matters now

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.

2006–2020

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.

Then

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.

Now

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.

Why this matters now

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.

2007–2013

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.

Then

Apple won the premium segment through integration. Android won market share through openness and manufacturer diversity. Everyone else was eliminated.

Now

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.

Why this matters now

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.

Sources

(11)