Welcome to Gemini at Work 2026

CEO, Google Cloud

Editor’s note: This article is adapted from Thomas Kurian’s keynote address at Gemini at Work 2026. It includes a number of announcements:

• Gemini, a single, universal agent for work that answers your questions, handles your knowledge work, creates your images and media, and writes and runs code.

Gemini, a single, universal agent for work that answers your questions, handles your knowledge work, creates your images and media, and writes and runs code.

• Inline in Workspace, Gemini works directly inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, carrying the same memory, skills, and controls it has everywhere else.

Inline in Workspace, Gemini works directly inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, carrying the same memory, skills, and controls it has everywhere else.

• New data and analytics skills that allow both technical teams and everyday business users to use plain-language questions to get to actionable operational insights in minutes.

New data and analytics skills that allow both technical teams and everyday business users to use plain-language questions to get to actionable operational insights in minutes.

• Industry-specific specialization with tools, skills, connectors and knowledge specific for financial services and legal teams.

Industry-specific specialization with tools, skills, connectors and knowledge specific for financial services and legal teams.

• How we secure and govern agents through identity and policy management, authorization and permission controls, secure sandboxing, network gateways, and more.

How we secure and govern agents through identity and policy management, authorization and permission controls, secure sandboxing, network gateways, and more.

• Leading cost controls through multi-model orchestration, Smart Routing, real-time spend caps, and more.

Leading cost controls through multi-model orchestration, Smart Routing, real-time spend caps, and more.

• Customer use cases that showcase the breadth and depth of our customers around the world.

Customer use cases that showcase the breadth and depth of our customers around the world.

Bringing the best technology to all of you is what drives us at Google Cloud. In the last year, nearly 500 Google Cloud customers each processed more than one trillion tokens. Today, nearly 80% of all Google Cloud customers are using our AI products, and nearly 90% of the Fortune 100 use Gemini Enterprise. At that kind of scale, organizations have moved past experimentation and are running their business on it.

Work now starts in the prompt window.

To meet this moment, today we are excited to announce the Gemini agent: your new single, universal agent for work. It has all of your business context and can be used for everything from knowledge work to answering questions, and from content creation to coding, all from a single prompt box. It plans the work, uses skills and tools, connects to your systems, and brings back something finished — inside the documents, the inbox, and the developer environments you already work in. It chooses the best model for the job, has built-in cost controls, and most importantly, has the security, administration, and governance required by your company.

The Gemini agent is your new single, universal agent for work.

Introducing the Gemini agent

Gemini answers your questions, handles your knowledge work, creates your images and media, and writes and runs code — all in a single agent and a single API. You give it objectives, not instructions. You delegate an outcome and come back to finished work. For an agent to do that, it has to be connected to your personal workflows, your systems of record, and your enterprise controls. Gemini can function as your personal assistant or as a team member, where it works on behalf of a group of people, like a project manager within a team, or on behalf of a specific role in an organization, like an analyst in your finance department.

The agentic capabilities in Gemini are built around core architectural principles:

• Unified agent: Gemini is an agent that can answer your questions when you chat with it, work autonomously to complete objectives you assign it, and generate code — all from a single interface. You can assign it work, schedule tasks that need to be completed, or have it respond to events.

Unified agent: Gemini is an agent that can answer your questions when you chat with it, work autonomously to complete objectives you assign it, and generate code — all from a single interface. You can assign it work, schedule tasks that need to be completed, or have it respond to events.

• Omnipresent access: Gemini can be accessed from any device including web, iOS and Android mobile devices, Windows and Mac desktops, and any channel (command line, Google Workspace, Microsoft 365, or Slack). It can also be integrated into third-party applications and surfaces and operates as a headless agent, meaning it does not need a dedicated user interface.

Omnipresent access: Gemini can be accessed from any device including web, iOS and Android mobile devices, Windows and Mac desktops, and any channel (command line, Google Workspace, Microsoft 365, or Slack). It can also be integrated into third-party applications and surfaces and operates as a headless agent, meaning it does not need a dedicated user interface.

• Persistent execution: It runs in the cloud, meaning it maintains a single set of memories, context, and one personalization graph no matter what device or channel you access it on. You never have to re-brief it or wonder which machine you told it to do something on. Work that takes hours or days keeps running after you close your laptop, and it is still there when you come back.

Persistent execution: It runs in the cloud, meaning it maintains a single set of memories, context, and one personalization graph no matter what device or channel you access it on. You never have to re-brief it or wonder which machine you told it to do something on. Work that takes hours or days keeps running after you close your laptop, and it is still there when you come back.

• Multi-agent orchestration: Gemini doesn’t work alone. It can dynamically create a roster of sub-agents — temporary, job-specific agents, each with their own identity — to tackle multi-step tasks. Gemini can communicate with these sub-agents to coordinate workflows, including parallel and sequential steps that can run for hours or days. In addition, Gemini can act as a coworker agent — which is more like a team member, with a persistent, defined role and operational presence across days, sessions, and multiple changing responsibilities — and delegate and coordinate tasks. Coworker agents have dedicated identities including their own @agents.company.com emails, their own persistent storage, and only have access to the context that you or your team members provide.

Multi-agent orchestration: Gemini doesn’t work alone. It can dynamically create a roster of sub-agents — temporary, job-specific agents, each with their own identity — to tackle multi-step tasks. Gemini can communicate with these sub-agents to coordinate workflows, including parallel and sequential steps that can run for hours or days. In addition, Gemini can act as a coworker agent — which is more like a team member, with a persistent, defined role and operational presence across days, sessions, and multiple changing responsibilities — and delegate and coordinate tasks. Coworker agents have dedicated identities including their own @agents.company.com emails, their own persistent storage, and only have access to the context that you or your team members provide.

• Deeply contextual: Gemini arrives already knowing your tools, data, and work history. Whether you ask it a question, assign it an objective, or have it generate code, Gemini learns from every interaction with you. The longer you collaborate with it, the better it understands you and how you work. Teams can create dedicated projects to further optimize the context, skills, and tools Gemini uses when it works with you.

Deeply contextual: Gemini arrives already knowing your tools, data, and work history. Whether you ask it a question, assign it an objective, or have it generate code, Gemini learns from every interaction with you. The longer you collaborate with it, the better it understands you and how you work. Teams can create dedicated projects to further optimize the context, skills, and tools Gemini uses when it works with you.

• Model choice flexibility: 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 from Anthropic today, and other leading private and open models in the future — to deliver optimal quality and lower your costs. The best model for the task is not always the largest one. 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 your context, your skills, and your data stay put when it does.

Model choice flexibility: 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 from Anthropic today, and other leading private and open models in the future — to deliver optimal quality and lower your costs. The best model for the task is not always the largest one. 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 your context, your skills, and your data stay put when it does.

Top customers across industries were early testers and are already realizing its benefits: Premium sportswear brand On tested this new dynamic selection capability to accelerate its speed-to-market. This builds on the proven, large-scale multi-model strategies already used by leaders: Shopify blends frontier models for millions of merchants to unlock data and drive sales, and PayPal routes 10 million multi-model requests every week.

Powering Gemini: Skills, tools, and context

Gemini understands your business — everything from pricing to product portfolios to departmental norms — and all the institutional knowledge that makes your company unique. Three capabilities make that possible: tools that connect it to your systems, skills that teach it how your work gets done, and context that lets it remember.

• Tools and tools registry: Gemini can securely connect to the software your company already runs, including collaboration tools like Confluence, Microsoft Office, Teams, Slack, and Workspace; development tools like Git and Jira; enterprise platforms like Salesforce and ServiceNow; databases like BigQuery, Databricks, Postgres, and Snowflake; and files on your own desktop. It can also connect and work securely with any Model Context Protocol (MCP) server inside or outside your company network. It also offers an enterprise tools registry, so teams can build and publish tools for the rest of the company.

Tools and tools registry: Gemini can securely connect to the software your company already runs, including collaboration tools like Confluence, Microsoft Office, Teams, Slack, and Workspace; development tools like Git and Jira; enterprise platforms like Salesforce and ServiceNow; databases like BigQuery, Databricks, Postgres, and Snowflake; and files on your own desktop. It can also connect and work securely with any Model Context Protocol (MCP) server inside or outside your company network. It also offers an enterprise tools registry, so teams can build and publish tools for the rest of the company.

• Skills and skills registry: Skills are reusable sets of instructions, knowledge, or workflows stored as modular prompts that teach agents how to perform specific, multi-step tasks. Gemini ships with a robust global library of skills. Teams or departments can build and publish custom skills to a shared company registry, and you can build your own personal skills. Gemini chooses the right skills and tools to perform a task and continuously learns from each execution, improving its consistency, while saving token costs.

Skills and skills registry: Skills are reusable sets of instructions, knowledge, or workflows stored as modular prompts that teach agents how to perform specific, multi-step tasks. Gemini ships with a robust global library of skills. Teams or departments can build and publish custom skills to a shared company registry, and you can build your own personal skills. Gemini chooses the right skills and tools to perform a task and continuously learns from each execution, improving its consistency, while saving token costs.

• Context and memory: Gemini learns from each question you ask it, each objective you assign it, the people you work with, and uses your personal context and your organization's context to personalize and improve the quality of its responses. It keeps four kinds of memory: session memory for the task in front of it, even when it runs for days; semantic memory, a structured knowledge base it builds as it reads documents, talks to people, and works with other agents; procedural memory for how a job gets done, including skills it writes for itself; and episodic memory of everything it has done before. Gemini onboards itself the way a new hire would, learning you, your tools, and your team before it starts.

Context and memory: Gemini learns from each question you ask it, each objective you assign it, the people you work with, and uses your personal context and your organization's context to personalize and improve the quality of its responses. It keeps four kinds of memory: session memory for the task in front of it, even when it runs for days; semantic memory, a structured knowledge base it builds as it reads documents, talks to people, and works with other agents; procedural memory for how a job gets done, including skills it writes for itself; and episodic memory of everything it has done before. Gemini onboards itself the way a new hire would, learning you, your tools, and your team before it starts.

Customers seeing significant benefits from Gemini Enterprise include:

• BNP Paribas, a European leader in banking and financial services, is transforming Corporate & Institutional Banking by deploying Gemini Enterprise into LLM@CIB, its internal generative AI assistant available to more than 65,000 employees, to streamline workflows like preparing credit memos and boosting the productivity of customer advisers while maintaining strict enterprise-grade security and data governance.

BNP Paribas, a European leader in banking and financial services, is transforming Corporate & Institutional Banking by deploying Gemini Enterprise into LLM@CIB, its internal generative AI assistant available to more than 65,000 employees, to streamline workflows like preparing credit memos and boosting the productivity of customer advisers while maintaining strict enterprise-grade security and data governance.

• Bradesco, one of Brazil’s largest banking and financial services conglomerates, is streamlining heavy operational workflows by deploying Gemini Enterprise for automated fiscal, accounting, and contractual analysis. The finance team has accelerated proposal reviews, service classification, and budgetary workflows, cutting document review time from 1 hour to 5 minutes while reducing risk inconsistencies by 60% and achieving over 10% in financial efficiencies.

Bradesco, one of Brazil’s largest banking and financial services conglomerates, is streamlining heavy operational workflows by deploying Gemini Enterprise for automated fiscal, accounting, and contractual analysis. The finance team has accelerated proposal reviews, service classification, and budgetary workflows, cutting document review time from 1 hour to 5 minutes while reducing risk inconsistencies by 60% and achieving over 10% in financial efficiencies.

• Merck is exploring new frontiers in molecular research with the potential to significantly compress discovery timelines while maintaining complete data privacy and security.

Merck is exploring new frontiers in molecular research with the potential to significantly compress discovery timelines while maintaining complete data privacy and security.

• Orange Spain, a leading telecommunications operator in Spain, is speeding up its digital transformation by deploying more than 1,000 custom Gemini Enterprise agents. Employees across HR, IT, sales, and customer service have built custom agents to automate incident triage, analyze network issues, and retrieve corporate knowledge, boosting operational agility and response times while helping non-technical staff automate daily workflows with zero IT bottlenecks.

Orange Spain, a leading telecommunications operator in Spain, is speeding up its digital transformation by deploying more than 1,000 custom Gemini Enterprise agents. Employees across HR, IT, sales, and customer service have built custom agents to automate incident triage, analyze network issues, and retrieve corporate knowledge, boosting operational agility and response times while helping non-technical staff automate daily workflows with zero IT bottlenecks.

• Santee Cooper, South Carolina’s state-owned electric and water utility, is modernizing its financial planning and grid reliability by deploying a specialized AI model built on Gemini Enterprise. Financial planning teams and utility operators are automating complex financial scenario modeling and query execution using simple natural language and expect to boost modeling speed by up to 75% while mitigating market risk across a $10 billion grid expansion budget.

Santee Cooper, South Carolina’s state-owned electric and water utility, is modernizing its financial planning and grid reliability by deploying a specialized AI model built on Gemini Enterprise. Financial planning teams and utility operators are automating complex financial scenario modeling and query execution using simple natural language and expect to boost modeling speed by up to 75% while mitigating market risk across a $10 billion grid expansion budget.

• SOMPO, a leading Japanese insurance provider, built over 10,000 custom AI agents across its 34,000 employees to automate tasks like document search and summarization for employee efficiency. Their engineering team used Gemini Enterprise to cut the development time for new models from one week to a single day, freeing up engineers for more important work.

SOMPO, a leading Japanese insurance provider, built over 10,000 custom AI agents across its 34,000 employees to automate tasks like document search and summarization for employee efficiency. Their engineering team used Gemini Enterprise to cut the development time for new models from one week to a single day, freeing up engineers for more important work.

• Ulta Beauty is helping guests shop 30,000 products by deploying the Ulta AI shopping assistant built with Gemini Enterprise. Online shoppers have translated conversational questions into personalized beauty recommendations, boosting digital sales conversion rates three-fold while skipping traditional search filters to buy the products they love instantly.

Ulta Beauty is helping guests shop 30,000 products by deploying the Ulta AI shopping assistant built with Gemini Enterprise. Online shoppers have translated conversational questions into personalized beauty recommendations, boosting digital sales conversion rates three-fold while skipping traditional search filters to buy the products they love instantly.

• Wesfarmers, the parent company of Australian retail giants Bunnings, Kmart, and Officeworks, is deploying agents across its portfolio. An internal agent at Bunnings saved staff half a million hours of administrative work, while shopping agents — that help customers discover products and build their carts — have increased conversion rates up to three times higher for Kmart and Officeworks.

Wesfarmers, the parent company of Australian retail giants Bunnings, Kmart, and Officeworks, is deploying agents across its portfolio. An internal agent at Bunnings saved staff half a million hours of administrative work, while shopping agents — that help customers discover products and build their carts — have increased conversion rates up to three times higher for Kmart and Officeworks.

Organizations worldwide are driving measurable impact.

Gemini in Google Workspace

Gemini not only answers your questions, handles your knowledge work, and writes your code — it works directly inside Gmail, Drive, Docs, Slides, Sheets, Chat, and Calendar, carrying the same memory, skills, and controls it has everywhere else. It works inline: in the email thread, in the document, and in the chat space.

Inside Workspace, Gemini works three ways:

• Personal assistance: Gemini works as your personal agent and arrives already knowing your calendar, your team, your projects, and how your documents relate to one another. It is briefed before you start. For example, you can ask Gemini to set up a meeting with the usual team of regional event leads next week, without supplying a single name or email address. Gemini determines who those people are from the membership of your chat space and the thread from your last event, checks their calendars, and starts an email thread to coordinate a time that works, even with external participants. It handles work that spans applications the same way: researching market trends, building a financial model in Sheets, then creating a deck that presents both, without you re-explaining the project at each step.

Personal assistance: Gemini works as your personal agent and arrives already knowing your calendar, your team, your projects, and how your documents relate to one another. It is briefed before you start. For example, you can ask Gemini to set up a meeting with the usual team of regional event leads next week, without supplying a single name or email address. Gemini determines who those people are from the membership of your chat space and the thread from your last event, checks their calendars, and starts an email thread to coordinate a time that works, even with external participants. It handles work that spans applications the same way: researching market trends, building a financial model in Sheets, then creating a deck that presents both, without you re-explaining the project at each step.

• Proactive delegation: Gemini uses this same intelligence to proactively suggest tasks you can delegate to it. For example, if your manager emails you asking for the latest project update as a slide deck, Workspace Intelligence recognizes that as a delegatable task and gives you a single-click option to pass it to Gemini. It applies the same reasoning to your inbox, surfacing the message that matters most rather than the one that arrived last, and explaining why.

Proactive delegation: Gemini uses this same intelligence to proactively suggest tasks you can delegate to it. For example, if your manager emails you asking for the latest project update as a slide deck, Workspace Intelligence recognizes that as a delegatable task and gives you a single-click option to pass it to Gemini. It applies the same reasoning to your inbox, surfacing the message that matters most rather than the one that arrived last, and explaining why.

Data analysis, data engineering and machine learning

We are also giving Gemini skills built for specific domains, starting with data.

Data and analytics represent a foundational domain where Gemini transforms business workflows, enabling organizations to move from plain-language questions to actionable operational insights in minutes. We are introducing purpose-built capabilities tailored to both technical teams and everyday business users:

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