AI AT WORK · COMPANY NEWS
Uber Brings ChatGPT Work to More Than 30,000 Employees in Company-Wide AI Rollout
Uber is expanding its collaboration with OpenAI by introducing ChatGPT Work across its global workforce, giving employees an AI agent designed to handle complex tasks, connect everyday work tools, and help turn ideas into finished deliverables.
Artificial intelligence is becoming part of how companies organize research, manage information, develop products, and complete everyday business tasks. Uber's latest move highlights a growing interest in using AI for more than answering questions or generating short pieces of text.
The announcement offers a practical look at how a large organization plans to integrate AI into existing workflows. Instead of treating AI as a separate destination for occasional questions, Uber is making it available to employees across multiple functions to help with tasks that involve research, analysis, communication, and coordination.
The key announcement
Uber is expanding ChatGPT Work from an initial group of 1,000 employees to more than 30,000 employees across its global workforce. The rollout includes access to connected workplace tools, advanced AI models, internal AI skills, and employee training.
01 · THE BIG PICTURE
What Is ChatGPT Work, and Why Is Uber Adopting It?
ChatGPT Work is an AI agent designed for longer, more involved tasks that may require several steps before a useful result is ready. Rather than limiting the interaction to a question and an answer, it can work across supported applications and files to help produce completed materials.
These deliverables can include meeting briefs, presentations, research summaries, and data analyses. The platform can also help coordinate workflows across connected applications, allowing employees to bring information together without handling every step manually.
For Uber, the objective is to make these capabilities available to teams throughout the company. The rollout covers functions including operations, finance, marketing, and product, alongside continued use of Codex by developers and software engineering teams.
The distinction matters because enterprise AI is not only about producing content. It is also about connecting information, organizing multiple steps, and helping people move from a request to a usable work product.
THE ROLLOUT AT A GLANCE
30,000+
Employees included in the company-wide rollout
1,000
Employees involved in the initial pilot
October 22, 2026
Date of OpenAI's announcement
Source: OpenAI's announcement about Uber's ChatGPT Work rollout.
02 · CONNECTED WORKFLOWS
How ChatGPT Work Fits Into Everyday Business Tasks
One of the most significant parts of the announcement is the ability to connect ChatGPT Work with workplace applications that employees already use. OpenAI identifies Google Drive, Gmail, Google Calendar, and Slack among the tools supported in Uber's working environment.
These connections are intended to help employees bring information from different places into a coordinated workflow. Instead of approaching every document, message, or meeting as an isolated task, an AI agent can help organize the relevant material and prepare a more complete output.
Research and information gathering
Employees can use the platform to research a subject, gather relevant information, and prepare a structured summary. This can be useful when a task involves reviewing several sources or organizing material before making a decision.
Meeting preparation and communication
Connected workplace information can support the preparation of meeting briefs and related materials. Access to tools such as Gmail and Google Calendar can help bring communication and scheduling context into supported workflows, subject to the relevant integrations and permissions.
Presentations and data analysis
ChatGPT Work can help create presentations and analyze data, turning information into materials that employees can review and use. The intention is to support the process of moving from raw information to a more organized deliverable.
Multi-step workflow completion
Some workplace assignments require several related actions rather than a single response. ChatGPT Work is designed to coordinate these steps across supported tools and files, with employees able to provide direction and review the resulting work.
03 · ACROSS THE BUSINESS
Which Uber Teams Will Use the Technology?
OpenAI says the rollout will support employees across several business functions. The precise workflows will differ by team, but the broad opportunity is to apply AI to the research, planning, analysis, and coordination that knowledge workers regularly perform.
Operations
AI-assisted research, information organization, and preparation of materials for operational planning and coordination.
Finance
Support for organizing financial information, analyzing data, and preparing reports for employees to examine.
Marketing
Assistance with research, content preparation, presentations, and the organization of campaign-related information.
Product teams
Help with gathering insights, structuring ideas, preparing product materials, and coordinating complex assignments.
Software engineering
Uber's developers and engineering teams will continue using Codex to support software development and streamline coding workflows.
These are potential areas of application, not a guarantee that every employee will use AI for every listed task. The announcement identifies the participating functions and available capabilities but does not provide a detailed task-by-task deployment plan.
04 · MODELS AND CAPABILITIES
Access to Advanced Models, Voice, and Image Generation
The announcement also describes the AI capabilities available through Uber's deployment. According to OpenAI, Uber will have access to its portfolio of advanced models, with GPT-6.1 Sol designated as the default capability within ChatGPT Work for the rollout described in the announcement.
OpenAI describes this model choice as a way to balance advanced performance with cost efficiency. The company also says Uber teams will have access to multimodal capabilities, including voice and image generation.
Multimodal AI can work with different forms of information rather than relying exclusively on text. In a workplace setting, voice and image capabilities can offer additional ways to interact with AI and create materials, depending on the tools and permissions available for a particular task.
Importantly, the announcement does not publish a detailed benchmark comparison or quantified productivity results from the Uber rollout. The model selection and feature availability describe the planned working environment, not proof of a specific performance improvement.
05 · MAKING AI PRACTICAL
Why Internal Training and Approved Integrations Matter
Making an AI tool available to thousands of employees is only one part of a company-wide adoption strategy. Employees also need to understand how to use it appropriately, which tasks suit the technology, and how to work within organizational requirements.
OpenAI says Uber's rollout will be supported by an internal AI skills library, approved integrations, and dedicated employee training. These measures are intended to help teams apply the technology across their day-to-day work.
An internal skills library can provide reusable guidance for particular tasks, while approved integrations help establish which tools employees can connect to the platform. Training can help employees develop better instructions, evaluate outputs, and recognize when further human review is necessary.
The announcement does not detail every internal policy or technical safeguard involved. However, the inclusion of training and approved integrations shows that the rollout involves organizational preparation alongside access to AI models.
A useful distinction: AI assistance versus accountability
An AI agent can help gather information, organize work, and prepare deliverables. Employees still need to check important details, assess whether the output is appropriate, and follow their organization's rules for sensitive information and consequential decisions. Access to a capable tool does not remove the need for human judgment.
06 · THE BROADER STRATEGY
What the Uber–OpenAI Collaboration Signals
Uber's rollout is another step in the company's broader AI strategy and its collaboration with OpenAI. The announcement points to an approach that extends across multiple teams instead of focusing on a single department or isolated experiment.
The expansion from a 1,000-person pilot to more than 30,000 employees is the clearest measure of the rollout's scale. It shows that Uber is moving from a limited initial deployment toward broader organizational access.
However, scale alone does not establish whether the technology will deliver measurable gains in productivity, quality, or operating costs. Those outcomes depend on how employees use the tools, how well the workflows are designed, and how the organization evaluates the results.
OpenAI and Uber say they plan to share further insights into adoption, use cases, and measurable outcomes as the rollout progresses. Those future updates should help clarify which applications prove most useful in practice.
What Businesses Can Learn From This Rollout
Companies considering workplace AI can take several practical lessons from the approach described by Uber and OpenAI. These are general recommendations based on the rollout's structure, rather than additional claims made by either company.
Start with real work, not the technology alone
Identify repetitive research, reporting, document preparation, and coordination tasks where AI assistance may be useful. A clear business problem provides a better starting point than adopting a tool without a defined purpose.
Connect only the tools that are needed
Workplace integrations should reflect actual business requirements. Organizations should review access permissions and internal data-handling policies before enabling connections to company applications.
Give employees practical guidance
Training should explain how to define tasks, provide useful context, check outputs, and recognize situations that require additional review. Reusable instructions can also help teams develop more consistent workflows.
Measure results before making bigger claims
Businesses should evaluate relevant indicators, such as task completion time, output quality, employee adoption, and the amount of review required. Measuring actual results makes it easier to distinguish meaningful improvements from assumptions about what AI might accomplish.
THE BIGGER PICTURE
Key Ideas: What to Know About Uber's ChatGPT Work Rollout
- Company-wide expansion: Uber is rolling out ChatGPT Work to more than 30,000 employees after an initial pilot involving 1,000 people.
- Multi-step AI assistance: The platform is designed to help with research, meeting briefs, presentations, data analysis, and workflows across supported applications.
- Connected workplace tools: Google Drive, Gmail, Google Calendar, and Slack are among the integrations identified in the announcement.
- Broader employee support: The rollout includes an internal AI skills library, approved integrations, and dedicated training.
- Results remain to be assessed: Uber and OpenAI plan to share further information about adoption, use cases, and measurable outcomes as the rollout progresses.
Frequently Asked Questions
1. What is ChatGPT Work?
ChatGPT Work is an AI agent designed for longer, multi-step tasks. It can work with supported applications and files to help research information, analyze data, prepare documents, and produce other finished deliverables.
2. How many Uber employees will get access?
OpenAI announced a rollout to more than 30,000 employees across Uber's global workforce, expanding from an initial pilot of 1,000 employees.
3. Which workplace applications does ChatGPT Work connect with at Uber?
OpenAI identifies Google Drive, Gmail, Google Calendar, and Slack among the workplace tools connected to the deployment.
4. Which departments will use ChatGPT Work?
The rollout is intended to support teams across operations, finance, marketing, and product, among other knowledge-work activities.
5. Will Uber's software developers also use AI tools?
Yes. OpenAI says Uber's developers and software engineering teams will continue using Codex to support software development and streamline coding workflows.
6. Does the announcement prove that ChatGPT Work has increased Uber's productivity?
No quantified productivity results were provided in the announcement. OpenAI and Uber say they intend to share more information about adoption, use cases, and measurable outcomes as the rollout progresses.
FINAL PERSPECTIVE
The Next Phase of Workplace AI Is About Getting Work Done
Uber's decision to expand ChatGPT Work across its global workforce illustrates how enterprise AI is moving toward more integrated, task-oriented use. The focus is not simply on generating answers, but on helping employees research, analyze, coordinate, and prepare completed work across the tools they already use.
The combination of connected applications, advanced models, internal skills, and employee training provides a framework for introducing AI at organizational scale. Yet the real test will be how effectively teams apply the technology and whether the promised benefits translate into measurable results.
For businesses watching this development, the central lesson is straightforward: successful AI adoption requires more than access to a powerful model. It also requires clear use cases, appropriate permissions, employee guidance, and ongoing evaluation. Uber's rollout is an important development to watch as more evidence emerges about how AI agents perform in everyday business operations.