TITLE: Google Cloud Next 2026: Agents Are Now the Enterprise Architecture DATE: 2026-04-24 COMPANY: Google TOPIC: Enterprise AI SUMMARY: Google Cloud Next 2026 delivered the biggest enterprise AI announcement of the year: a unified Gemini Enterprise Agent Platform that lets organisations build, govern, and optimise AI agents in a single environment. Paired with 8th-generation TPU chips, an open Agent-to-Agent (A2A) protocol now in production at 150 organisations, and a $750 million partner fund, Google has signalled that agents are no longer a feature of its cloud platform. They are the architecture. WHAT CHANGED: Google Cloud used its annual Next conference on 22 to 23 April 2026 to launch what it describes as a full-stack platform for the agentic era, with the Gemini Enterprise Agent Platform as the centrepiece. The platform is organised around four capabilities. Build: an enhanced Agent Development Kit (ADK) with a graph-based sub-agent framework lets technical teams define reliable logic for how agents work together to solve complex problems. Scale: the Gemini Enterprise app delivers agents to employees in a single secure environment, complete with a drag-and-drop Agent Designer, an Inbox for managing agent activity, and Skills and Projects for structuring agent workflows. Govern: Agent Identity, Agent Registry, and Agent Gateway establish centralised control, giving every agent a trackable identity and ensuring it operates within enterprise-defined guardrails. Optimise: Agent Simulation, Agent Evaluation, and Agent Observability provide full execution traces and real-time visibility into agent reasoning so organisations can confirm agents are hitting their goals before expanding deployment. The platform provides access to more than 200 models through Model Garden, including Gemini 3.1 Pro, Gemma 4, and third-party models from Anthropic and others. Agents from Adobe, Atlassian, Deloitte, Oracle, Salesforce, ServiceNow, and Workday are available directly through the Gemini Enterprise app. On the infrastructure side, Google launched its 8th-generation Tensor Processing Units in two variants. TPU 8t is optimised for training, scaling to 9,600 chips in a single superpod with 2 petabytes of shared high-bandwidth memory and delivering 3x the processing power of the previous generation. TPU 8i is optimised for inference and delivers 80% better performance per dollar than its predecessor, with 3x more on-chip SRAM to host larger model caches entirely on-silicon. Google also confirmed that its Agent-to-Agent (A2A) open protocol has reached 150 organisations in production, routing real tasks between agents built on different platforms. The protocol is now governed by the Linux Foundation's Agentic AI Foundation at version 1.2, with cryptographically signed agent cards. A2A is designed to complement Anthropic's Model Context Protocol (MCP): MCP handles how an agent connects to tools and data sources, while A2A handles how agents communicate with each other across organisational and platform boundaries. To accelerate the ecosystem, Google Cloud committed $750 million to its 120,000-member partner network to support agentic AI development and deployment. WHY IT MATTERS: The Gemini Enterprise Agent Platform gives organisations a supported, governed path to deploy agents at scale without building governance infrastructure from scratch Agent Identity, Registry, and Gateway mean compliance and IT teams can track every agent, audit its actions, and revoke access centrally, removing the primary objection to scaling beyond pilot projects A2A in production at 150 organisations means agents built on Salesforce Agentforce, SAP Joule, ServiceNow, and Google Cloud can hand off tasks to each other without custom integration code for the first time The $750 million partner fund will produce a wave of pre-built, certified agent integrations across the Google Cloud ecosystem in the coming months TPU 8i's 80% inference cost improvement will reduce the per-task cost of running agents at volume, improving the economics of large-scale deployment 75% of Google Cloud customers are now actively using AI products, indicating that enterprise AI adoption is at mainstream scale rather than early-adopter stage DAVID & GOLIATH ANALYSIS: Google has just done something that most enterprise software vendors only attempt once: it has replatformed its entire cloud business around a new paradigm. Agents are no longer an add-on to Google Cloud. Every infrastructure announcement at Next 2026, from the TPU chips to the partner fund, is designed to make agents the primary unit of work. For operators running lean teams, this is significant for a reason that has nothing to do with Google specifically. The A2A protocol means that the agents you deploy today on Salesforce, ServiceNow, or SAP can communicate with agents on Google Cloud without any integration work. That is the agentic equivalent of email. The moment two agents from different platforms can hand off a task between them without a human in the middle, the scope of what a small team can automate expands significantly. The operators who benefit most from this shift are not the ones who wait for their vendors to roll out agent features. They are the ones who identify one high-value, repetitive workflow today, deploy an agent against it using whatever platform they already have, and then progressively connect it to adjacent systems as the A2A ecosystem matures. Start narrow, prove the value, then expand. That sequencing is available to a 20-person company as much as a 2,000-person one. RELEVANT SYSTEMS: AI Growth Engine, Employee Amplification Systems, Secure AI Brain SOURCE URL: https://davidandgoliath.ai/daily-ai-briefing/google-cloud-next-2026-agents-are-the-enterprise-architecture FEED URL: https://davidandgoliath.ai/daily-ai-briefing/feed --- Published by David & Goliath | https://davidandgoliath.ai Daily AI Briefing: one AI development per day, decoded for business operators. This is a structured companion file optimised for LLM retrieval and citation.