Today, we announced the new Gemini agent, your single, universal agent for work. For small and midsize businesses, with lean teams and margins, Gemini will be a critical tool for you to operate efficiently, deliver excellent customer experiences, and grow. Millions of small and midsize businesses, or SMBs, already trust Google AI across multiple services, like Gemini Enterprise, Google Ads, and Google Workspace. And they are scaling fast: Their usage of Google Cloud’s AI tools increased more than fivefold year over year . Now, SMBs can benefit from all of the agentic capabilities of Gemini.
Gemini functions as a personal assistant and team member, connects to the systems and data you already use, operates across the interfaces you’re already familiar with, and offers the model choice, security, and cost controls you expect from Google Cloud. It answers your questions, handles your knowledge work, creates your images and media, and even writes and runs code, all from a single prompt box. You delegate an outcome and come back to finished work. Gemini can act as a flexible team member, playing a specific role such as a project manager, bookkeeper, inventory manager, or marketing consultant.
And, Gemini is architected to be helpful out of the box, with benefits including: Connects to popular SMB tools: Gemini connects to the systems you regularly use, like Asana, Box, Clay, Docusign, Dropbox, GitHub, LegalZoom, Notion, Salesforce, Shopify, Slack, Wix, and more . It utilizes context from these tools, your business data, and work history, and gets smarter and more helpful the more you use it. Provides model choice: Gemini is the agent, and the model underneath it is a separate choice.
It runs each job on the model that fits best—orchestrating across our Gemini family of models and Claude models today, and other leading private and open models in the future. Matching the model to the work raises accuracy on the difficult jobs and lowers cost on the simple ones. And the leading model changes every few months, so keeping that choice open means that even if you switch models, your context, your skills, and your data stay put.