Google announced Workspace Studio at Cloud Next 2026, a no-code platform that lets business users build and deploy AI agents across Gmail, Docs, Sheets, Drive, Meet, and Chat by describing automations in plain language. The product is rolling out to Google Workspace business, enterprise, and education customers.

How It Works

Workspace Studio converts natural language instructions into automated workflows Google calls “skills.” A user can type “every Friday, ping me to update my tracker” and Gemini creates the automation. Skills can be built collaboratively and shared with teams the same way users share a Google Doc, according to the Google Workspace Blog.

The platform connects to third-party applications including Asana, Jira, Mailchimp, and Salesforce, and can call external APIs via webhooks or run custom logic through Apps Script. Once created, skills can be invoked anywhere Gemini operates within Workspace, as reported by The Next Web.

The Broader Cloud Next Context

Workspace Studio is one piece of a larger agentic consolidation Google unveiled at Cloud Next 2026. The company rebranded Vertex AI as the Gemini Enterprise Agent Platform, absorbed Google Agentspace into a unified Gemini Enterprise product, and announced that its Agent2Agent (A2A) protocol has reached 150 organizations in production, according to TNW. Google Cloud CEO Thomas Kurian framed the strategy as owning the full stack “from chip to inbox,” contrasting it with competitors who “hand you the pieces, not the platform.”

Workspace Intelligence

Alongside Workspace Studio, Google introduced Workspace Intelligence, a system that provides unified, real-time semantic understanding across Workspace apps. Rather than pulling data from apps to generate isolated outputs, Workspace Intelligence tracks relationships between documents, projects, collaborators, and organizational knowledge to power agent behavior, per Google’s blog.

Distribution Scale

Google Workspace serves more than 3 billion users across business and education accounts. Embedding agentic automation directly into those tools puts agent capabilities in front of a user base that dwarfs any standalone agent platform. The competitive implications are straightforward: OpenAI’s Codex and workspace agents target ChatGPT’s subscriber base, while Microsoft’s Agent 365 builds on the Microsoft 365 ecosystem. Google is betting that native Workspace integration, backed by its own silicon and model stack, creates a distribution advantage neither rival matches at the productivity layer.