Google Cloud flags AI agents trend

Google Cloud is pushing companies to treat artificial intelligence agents less like chatbots and more like software systems that can search, plan, and act across tools. (cloud.google.com) An artificial intelligence agent is a model connected to data sources and software tools, so it can do more than answer a prompt. Google Cloud said on April 9, 2025 that agents can execute workflows such as planning, research, and idea testing, and it expanded Agentspace with agent discovery, no-code creation, and access from the Google Chrome search box. (cloud.google.com) Google started laying out that enterprise pitch on December 13, 2024, when it introduced Agentspace as a way to combine Gemini models, Google search, and company data. In that launch post, Google said workers use an average of four to six tools just to ask and answer a question inside an organization. (cloud.google.com) The point of the new framing is that a single prompt handles one request, while an agent system can break a job into steps and pass work between specialized components. Google’s developer blog said on April 14, 2026 that production systems now rely on multi-agent architecture, state management, and fixed guardrails rather than prompt wording alone. (developers.googleblog.com) Google has been building products around that model for more than a year. Its Gemini Enterprise agent page says customers can use Google-built agents such as Deep Research, Data Insights, Idea Generation, NotebookLM Enterprise, and Gemini Code Assist, or build their own with a no-code Agent Designer and the Agent Development Kit in Vertex Artificial Intelligence. (cloud.google.com) That stack also depends on orchestration and governance, not just model quality. Google Cloud said on November 5, 2025 that Vertex Artificial Intelligence Agent Builder added observability, evaluation tools, agent identities, and security safeguards for teams trying to move agents from prototype to production. (cloud.google.com) Google is also tying its agent push to open plumbing that lets software systems talk to each other. Its Gemini Enterprise documentation says the company is backing the Agent2Agent protocol so agents built on different models or platforms can communicate and interoperate. (cloud.google.com) The message from Google Cloud is that the market has moved past one-off prompting and into workflow design. Its April 14, 2026 developer post put it bluntly: “The honeymoon phase of simply chatting with an LLM is over.” (developers.googleblog.com)