High Barrier to Enterprise AI Agent Adoption? Google Launches One-Stop Development Platform
Google announced the "Gemini Enterprise Agent Platform," a one-stop environment for enterprises to build and manage AI agents, supporting over 200 models including Claude. It marks the shift towards an "agentic enterprise" era.
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- 📰 Published: April 23, 2026 at 17:13
- 🔍 Collected: April 23, 2026 at 17:32 (18 min after Published)
- 🤖 AI Analyzed: April 23, 2026 at 18:50 (1h 18m after Collected)
Las Vegas, April 22 (CNA) -- "AI Agents" have become the core battleground for Silicon Valley tech giants today. Google announced today a development platform built to realize AI agents for enterprises, offering over 200 cutting-edge models. Several large enterprises in the US and Europe are already using it to build their corporate AI agent systems. The way businesses work has already changed.
On the ground in Las Vegas, 35,000 people flooded into the Google Cloud technical conference. This year, the conversation revolved around agents.
Google CEO Sundar Pichai announced via video that today, the conversation among enterprises has evolved from "Can we build an agent?" to "How do we manage thousands of agents?"
Answering this question, Pichai announced the development platform built by Google, the Gemini Enterprise Agent Platform, comparing it to the "mission control center" of an "agentic enterprise," allowing businesses to build, scale, and govern their own AI agents.
● Google's One-Stop Development Drives "Agentic Enterprises"
Last year at the same conference, Google dedicated some time to discuss several tools to accelerate agent applications; this year, the company directly launched an enterprise-grade platform that integrates various functions to provide a one-stop development environment, expanding its layout.
The platform offers over 200 models, and Google newly announced added support for Anthropic's Claude Opus 4.7.
One of Google's challenges is how to get more and broader enterprises to adopt and deploy AI agents.
Darshan Kantak, Vice President of Cloud AI Products, pointed out in an interview with CNA after the conference that Google's goal is not only large enterprises but to make deployment easier for businesses of "any size, any industry."
Kantak stated that the telecommunications, finance, retail, and public sectors are currently the four main industries deploying AI agents.
● Google States AI Agent Effectiveness Depends on Enterprises Setting Clear Goals
In Taiwan, AI agents are also a work in progress; according to the market research and analysis firm IDC, this year marks the first year of grounded applications for agentic AI, entering the era of the agent economy. Agents will possess the capabilities of "digital employees." Kantak said Google will start from the US and European markets and gradually expand to Asia, with tools supporting more languages.
While AI agents continue to change how businesses work, Kantak emphasized that Google's solution is "not intended to replace humans."
Taking the service industry as an example, waiting for customer service can sometimes take up to an hour; introducing AI can drastically shorten this. Additionally, when there's an issue with a product and customer service demand spikes momentarily, a company cannot immediately replenish its workforce; AI agents can handle the demand at that time.
He pointed out, "The premise is that enterprises must clearly define the goals they wish to achieve and incorporate them into the design of the AI system." One of Google's important roles is to assist in completing this process.
On the ground in Las Vegas, 35,000 people flooded into the Google Cloud technical conference. This year, the conversation revolved around agents.
Google CEO Sundar Pichai announced via video that today, the conversation among enterprises has evolved from "Can we build an agent?" to "How do we manage thousands of agents?"
Answering this question, Pichai announced the development platform built by Google, the Gemini Enterprise Agent Platform, comparing it to the "mission control center" of an "agentic enterprise," allowing businesses to build, scale, and govern their own AI agents.
● Google's One-Stop Development Drives "Agentic Enterprises"
Last year at the same conference, Google dedicated some time to discuss several tools to accelerate agent applications; this year, the company directly launched an enterprise-grade platform that integrates various functions to provide a one-stop development environment, expanding its layout.
The platform offers over 200 models, and Google newly announced added support for Anthropic's Claude Opus 4.7.
One of Google's challenges is how to get more and broader enterprises to adopt and deploy AI agents.
Darshan Kantak, Vice President of Cloud AI Products, pointed out in an interview with CNA after the conference that Google's goal is not only large enterprises but to make deployment easier for businesses of "any size, any industry."
Kantak stated that the telecommunications, finance, retail, and public sectors are currently the four main industries deploying AI agents.
● Google States AI Agent Effectiveness Depends on Enterprises Setting Clear Goals
In Taiwan, AI agents are also a work in progress; according to the market research and analysis firm IDC, this year marks the first year of grounded applications for agentic AI, entering the era of the agent economy. Agents will possess the capabilities of "digital employees." Kantak said Google will start from the US and European markets and gradually expand to Asia, with tools supporting more languages.
While AI agents continue to change how businesses work, Kantak emphasized that Google's solution is "not intended to replace humans."
Taking the service industry as an example, waiting for customer service can sometimes take up to an hour; introducing AI can drastically shorten this. Additionally, when there's an issue with a product and customer service demand spikes momentarily, a company cannot immediately replenish its workforce; AI agents can handle the demand at that time.
He pointed out, "The premise is that enterprises must clearly define the goals they wish to achieve and incorporate them into the design of the AI system." One of Google's important roles is to assist in completing this process.