Google 将 Gemini 升级为 Agent，率先面向企业推出

在周四举行的一场 Google Cloud 活动上，该公司宣布，将其 Gemini AI 带入 Agent 时代，推出一个统一 Agent。它不仅能够回答问题，还可以代表用户完成工作，并且所有操作都可通过单一界面进行。

此举正值 AI 工具从单纯的对话式体验，转向能够承担被分配任务、生成代码、安排会议、预约服务与旅行等工作的阶段。此前，面向消费者的 Agent——例如 Meta 的 Muse——以及可通过消息平台运行的 Instinct 等产品相继出现，ChatGPT 的 Dots 近期也已亮相。

Google 在其 Agent 化布局上仍有很大机会实现规模化。正如 Google CEO 桑达尔·皮查伊（Sundar Pichai）在活动开场时指出的那样，Gemini 目前月活跃用户已超过 10 亿。他还表示，如今近 90% 的《财富》100 强企业已在工作中使用 Gemini Enterprise。

鉴于 Gemini 已在企业界获得采用，Google 将首先专注于把这款 Agent 推向企业，之后再向消费者推出。

图片来源： Google

皮查伊表示，这将使公司能够解决推出此类强大 Agent 所伴随的“更棘手的安全性、规模和性能问题”。

Google Cloud CEO 托马斯·库里安（Thomas Kurian）解释称，新的 Agent 可以被赋予“目标，而不只是指令”。这意味着它能够规划工作、使用定制技能和工具，并连接企业内部系统以实现目标。

默认情况下，AI 将选择最适合完成任务的模型；但用户也可以自行接管并选择模型，包括第三方模型，首批将支持 Anthropic 的 Claude 模型。Google 表示，未来将扩展模型选择器，纳入开源模型和其他私有模型。

请求中可以包含附件，例如文件、文件夹，或为特定工作流设计的其他项目；这些项目可以结合文件和技能。该 Agent 可连接企业的数据与系统，包括 Google Workspace、Microsoft 365、Slack、Jira、Confluence、Git、BigQuery、Databricks、Postgres、Snowflake 等。

它还能够安全地连接并使用公司网络内部或外部的任何模型上下文协议（Model Context Protocol，MCP）服务器。

用户可通过“任务收件箱”（tasks inbox）界面跟踪 Gemini 的操作，在其中查看 Gemini 的思考过程、向子 Agent 委派任务、加载专用技能和代码，以及任务进度。

值得注意的是，Google 表示，该 AI 将拥有自己的 Workspace 账户，就像另一位同事一样。这意味着它拥有自己的电子邮件地址和独立上下文。它知道公司中哪些人属于哪些团队、他们所在的时区、哪些人需要审批事项、人们的日历安排等。用户可以通过在消息中提及该 Agent、向其发送邮件、与其共享内容，或将其加入群聊来调用它。在执行操作时，它会生成归属于该 Agent 而非某个人的审计记录。

该 Agent 将可通过 iOS 和 Android 移动设备、Windows 和 Mac 桌面端、命令行界面、Google Workspace、Microsoft 365、ServiceNow 和 Slack 访问。

图片来源： Google

该 Agent 的早期测试者包括运动服饰品牌 On、Shopify 和 PayPal。Google 还指出，Gemini Enterprise 的客户包括 BNP Paribas、Bradesco、Merck、Orange Spain、Santee Cooper、SOMPO、Ulta Beauty 和 Wesfarmers 等大型企业。

Google 表示，新的灵活支出选项，包括多模型编排、智能路由和实时支出上限，将帮助企业更好地控制企业 AI 成本。

At a Google Cloud event on Thursday, the company announced it’s bringing its Gemini AI into the agentic age, with the launch of a unified agent that can not only answer questions but also get things done on the user’s behalf, all from a single interface.

The move comes as AI tools have been moving beyond being just conversational experiences to those that can take ownership of assigned tasks, generate code, schedule meetings, book appointments and travel, and more. It also follows the rise of consumer-facing agents like Meta’s Muse and those that operate over messaging, like Instinct and others, as well as the recent debut of ChatGPT’s Dots.

The company still has a good shot at achieving scale for its agentic efforts — as Google CEO Sundar Pichai pointed out at the event’s start, Gemini today has over 1 billion monthly active users. He also noted that nearly 90% of Fortune 100 businesses now use Gemini Enterprise at work.

Given Gemini’s adoption in the corporate world, Google will initially focus on bringing the agent to businesses before later rolling it out to consumers.

Image Credits: Google

According to Pichai, this will allow the company to solve the “harder problems around security, scale, and performance,” which come with launching powerful agents such as these.

Thomas Kurian, CEO of Google Cloud, explained that the new agent can be given “objectives, not just instructions.” That means it’s able to plan the work, use custom skills and tools, and connect to businesses’ internal systems to accomplish its goals.

By default, the AI will pick the best model to complete the task, but users can also take over to choose a model — including those from third parties, starting with Anthropic’s Claude models. Google said that it will expand the model picker to include open source models and other private models in the future.

The request can include attachments, like files, folders, or other projects designed for specific workstreams, like those that combine files and skills. The agent can connect to the business’ data and systems, like Google Workspace, Microsoft 365, Slack, Jira, Confluence, Git, BigQuery, Databricks, Postgres, Snowflake, and others.

It can also connect and work securely with any Model Context Protocol (MCP) server inside or outside the company’s network.

Users can keep track of what Gemini is doing from a “tasks inbox” interface, where they can see Gemini’s thinking process, delegation of tasks to subagents, loading of special skills, code, and progress.

Notably, the AI will have its own Workspace account, as if it’s just another co-worker. That means it has its own email address and its own context, Google said. It knows who at the company is on which team, their time zones, who needs to approve items, what’s on people’s calendars, and more. Users can call the agent by tagging it, emailing it, sharing with it, or adding it to a group chat. As it takes action, it writes an audit trail attributed to the agent, instead of a person.

The agent will be accessible from iOS and Android mobile devices, Windows and Mac desktops, the command line interface, Google Workspace, Microsoft 365, ServiceNow, and Slack.

Image Credits: Google

The agent’s early testers included sportswear brand On, Shopify, and PayPal, and noted that Gemini Enterprise customers include large businesses like BNP Paribas, Bradesco, Merck, Orange Spain, Santee Cooper, SOMPO, Ulta Beauty, and Wesfarmers.

Google said new flexible spending options, including multi-model orchestration, smart routing, and real-time spend caps, will help businesses keep their enterprise AI costs under better control.