Google Cloud Next 2026: Launches Gemini Enterprise Agent Platform, $750 million to Help Consultants Deploy

According to Google Cloud official announcements and coverage by Bloomberg and PYMNTS, Google officially launched the Gemini Enterprise Agent Platform at Cloud Next 2026 on April 22—an all-in-one platform integrating model selection, agent building, DevOps, orchestration, and enterprise security controls—while also announcing a $750 million fund subsidy for consulting firms to deploy AI agents. This is Google’s full-stack response to OpenAI Operator and Anthropic Claude’s enterprise push, with the core bet being: “Enterprises will choose a platform where model, runtime, chips, governance, and productivity suites all come from the same company.”

Gemini Enterprise Agent Platform: Full-stack enterprise agent infrastructure

The new platform provides integrated tools businesses need to build, scale, govern, and optimize AI agents, covering the following capabilities:

Model selection and building: switch between Gemini 3.1 Pro, Flash, Flash-Lite, and custom fine-tuned versions

Agent DevOps: version management, A/B testing, CI/CD deployment pipelines

Orchestration: multi-agent collaboration, task assignment, workflow orchestration

Enterprise integration: native access to Google Workspace, Docs, Drive, Gmail, BigQuery

Security controls: SOC2-level access control, audit logs, DLP integration

Cloud Next 2026 also rolls out Deep Research and Deep Research Max as the first flagship applications for the agent platform, and it further supports the A2A (Agent-to-Agent) protocol as an interoperability standard between agents, forming a two-track approach with MCP (Model Context Protocol): “vertical connection tools + horizontal agent collaboration.”

$750 million fund: McKinsey, Accenture, Deloitte benefit

Google Cloud announced a dedicated $750 million fund to subsidize major consulting firms such as McKinsey, Accenture, and Deloitte, helping them bring Gemini enterprise agent capabilities to their clients. This is a rare “channel-end subsidy” move in the AI industry, meaning Google views consulting firms as a key go-to-market channel for deploying enterprise AI agents—and is willing to invest substantial capital for it.

Competitive comparison: OpenAI Operator has achieved 87% on complex browser task benchmarks, and has also recruited consulting firms to carry out enterprise deployments; Anthropic’s Claude enterprise tools marketplace has already accumulated more than 10,000 MCP servers and 97 million SDK monthly downloads (see the complete MCP breakdown). The enterprise agent paths of the three industry leaders each emphasize different aspects, while Google is betting on an “all-stack + consulting channel” strategy.

Paired with Ironwood TPU to form Google’s complete enterprise AI stack

The hardware foundation of the Gemini Enterprise Agent Platform is the Google Ironwood TPU (7th generation) unveiled the same week—inference-focused, 10x the performance of the previous generation, with 192GB HBM3E—which is already available across Google Cloud. This week, Anthropic also committed to using as many as 1 million Ironwood TPU chips, and Meta signed multi-year contracts worth billions of dollars.

Google is pushing enterprise AI procurement with a four-layer stack: TPU + Gemini + Cloud + Workspace, forming a “homegrown all-stack” path that differs from OpenAI (Azure + GPT) and Anthropic (AWS + Claude).

Additional announcement: Vista Equity and Google Cloud sign strategic partnership

Bloomberg also revealed that Vista Equity Partners (a leading software-focused PE investment firm) and Google Cloud have signed a strategic partnership agreement to accelerate AI deployments by software companies in its investment portfolio. The deal further strengthens Google’s voice in B2B software AI infrastructure.

In addition, TechCrunch exclusively reports that Google is deepening its collaboration with Thinking Machines Lab (founded by Mira Murati), reaching a new “billion-dollar” level agreement, though details have not been disclosed yet. This is the first major collaboration Google reached after the former OpenAI CTO left the company.

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