Google pushes AI agents
What happened
- Google Cloud positioned AI agents as central to enterprise software at Cloud Next, pitching them as workflow automators. - The company highlighted Workspace Studio and an A2A protocol already used by about 150 organizations. - Google frames a full‑stack agent pitch to reduce integration risk and sell orchestration, security, and infrastructure as part of procurement (reuters.com).
Why it matters
Google used its Cloud Next conference on April 22 to tell business customers that AI agents are now the center of its enterprise software pitch. (reuters.com) An AI agent is software that can take a goal like “approve this expense report” or “summarize these emails,” then carry out the steps across apps with limited human input. Google said its new Workspace Studio lets companies build those agents inside Gmail, Docs, Sheets and other Workspace tools without writing much code. (blog.google) Google also used the Las Vegas event to bundle its agent products under a broader enterprise stack that includes models, orchestration tools, security controls and custom chips. Sundar Pichai said Cloud Next 2026 would show how organizations can move toward what Google calls an “agentic enterprise.” (blog.google) The company’s argument is that businesses do not just want a chatbot; they want software that can connect systems, follow rules and run inside existing procurement and security processes. Reuters reported Google is pitching that full stack as a way to reduce the integration risk that has slowed many corporate artificial intelligence projects. (reuters.com) A big part of that pitch is interoperability, or getting one company’s agent to work with another company’s tools. Google’s Agent2Agent protocol, usually shortened to A2A, is an open standard for agents to discover each other, exchange information and complete tasks across different platforms. (developers.googleblog.com) Google Cloud said support for A2A has grown to more than 150 organizations, and the Linux Foundation said on April 9 that the standard now has integrations across Google, Microsoft and Amazon Web Services platforms. That matters because large companies rarely buy all their software from one vendor. (cloud.google.com) (linuxfoundation.org) Google is making this push while competing with Microsoft, Amazon, OpenAI and Anthropic for corporate AI budgets. Bloomberg reported the new tools are aimed at helping companies automate work, while Reuters said Google is trying to turn artificial intelligence into a larger enterprise software business. (bloomberg.com) (reuters.com) The company has been building toward this for a year. Google introduced A2A in April 2025, and its developer blog said the protocol was designed to solve a practical problem: agents built by different teams and vendors could not easily talk to each other at scale. (developers.googleblog.com) The near-term test is whether customers move from pilots to production. Google’s message at Cloud Next was that if companies want AI agents to do real work, Google wants to sell them the plumbing as well as the assistant. (reuters.com)
Key numbers
- The company highlighted Workspace Studio and an A2A protocol already used by about 150 organizations.
- Google used its Cloud Next conference on April 22 to tell business customers that AI agents are now the center of its enterprise software pitch.
- Google’s Agent2Agent protocol, usually shortened to A2A, is an open standard for agents to discover each other, exchange information and complete tasks across different platforms.
- (developers.googleblog.com) Google Cloud said support for A2A has grown to more than 150 organizations, and the Linux Foundation said on April 9 that the standard now has integrations across Google, Microsoft and Amazon Web Services platforms.
What happens next
- Google used its Cloud Next conference on April 22 to tell business customers that AI agents are now the center of its enterprise software pitch.
- Google introduced A2A in April 2025, and its developer blog said the protocol was designed to solve a practical problem: agents built by different teams and vendors could not easily talk to each other at scale.
- Google’s message at Cloud Next was that if companies want AI agents to do real work, Google wants to sell them the plumbing as well as the assistant.
Quick answers
What happened in Google pushes AI agents?
Google Cloud positioned AI agents as central to enterprise software at Cloud Next, pitching them as workflow automators. The company highlighted Workspace Studio and an A2A protocol already used by about 150 organizations. Google frames a full‑stack agent pitch to reduce integration risk and sell orchestration, security, and infrastructure as part of procurement (reuters.com).
Why does Google pushes AI agents matter?
Google used its Cloud Next conference on April 22 to tell business customers that AI agents are now the center of its enterprise software pitch. (reuters.com) An AI agent is software that can take a goal like “approve this expense report” or “summarize these emails,” then carry out the steps across apps with limited human input. Google said its new Workspace Studio lets companies build those agents inside Gmail, Docs, Sheets and other Workspace tools without writing much code. (blog.google) Google also used the Las Vegas event to bundle its agent products under a broader enterprise stack that includes models, orchestration tools, security controls and custom chips. Sundar Pichai said Cloud Next 2026 would show how organizations can move toward what Google calls an “agentic enterprise.” (blog.google) The company’s argument is that businesses do not just want a chatbot; they want software that can connect systems, follow rules and run inside existing procurement and security processes. Reuters reported Google is pitching that full stack as a way to reduce the integration risk that has slowed many corporate artificial intelligence projects. (reuters.com) A big part of that pitch is interoperability, or getting one company’s agent to work with another company’s tools. Google’s Agent2Agent protocol, usually shortened to A2A, is an open standard for agents to discover each other, exchange information and complete tasks across different platforms. (developers.googleblog.com) Google Cloud said support for A2A has grown to more than 150 organizations, and the Linux Foundation said on April 9 that the standard now has integrations across Google, Microsoft and Amazon Web Services platforms. That matters because large companies rarely buy all their software from one vendor. (cloud.google.com) (linuxfoundation.org) Google is making this push while competing with Microsoft, Amazon, OpenAI and Anthropic for corporate AI budgets. Bloomberg reported the new tools are aimed at helping companies automate work, while Reuters said Google is trying to turn artificial intelligence into a larger enterprise software business. (bloomberg.com) (reuters.com) The company has been building toward this for a year. Google introduced A2A in April 2025, and its developer blog said the protocol was designed to solve a practical problem: agents built by different teams and vendors could not easily talk to each other at scale. (developers.googleblog.com) The near-term test is whether customers move from pilots to production. Google’s message at Cloud Next was that if companies want AI agents to do real work, Google wants to sell them the plumbing as well as the assistant. (reuters.com)
