Uber Rolls Out ChatGPT Work to More Than 30,000 Employees Worldwide

Uber is expanding its partnership with OpenAI by rolling out ChatGPT Work to more than 30,000 employees across its global workforce. Announced on October 22, 2026, the deployment expands an earlier pilot involving 1,000 employees and gives teams across departments access to an AI agent designed to complete complex, multi-step workplace tasks.

The move signals a broader shift in enterprise AI adoption, as companies move beyond using chatbots for occasional questions and begin integrating AI into everyday business processes. At Uber, employees will be able to use ChatGPT Work for research, data analysis, meeting preparation, presentations and workflows across connected applications. The company plans to evaluate how employees use the technology and whether it improves the way work gets done.

Key Takeaways

• Company-wide rollout: Uber is expanding ChatGPT Work from a 1,000-person pilot to more than 30,000 employees worldwide.
• Multiple departments: The deployment covers teams working in areas such as finance, operations, marketing and product.
• Connected applications: ChatGPT Work can connect with approved tools including Google Drive, Gmail, Google Calendar and Slack.
• Non-technical users: Around 80% of employees in the initial pilot were reportedly non-engineers.
• Real-world applications: Early use cases included operational data analysis, localized training materials and personalized dashboards.
• Productivity measurement: Uber says it will evaluate employee adoption, developed workflows and effectiveness rather than assuming benefits in advance.
• Developers retain Codex: Software engineering teams will continue using OpenAI’s Codex tools for coding and development workflows.

Why Uber Is Deploying ChatGPT Work Across the Company

Uber’s decision reflects a growing enterprise strategy: give employees access to AI tools across departments and allow them to discover where automation can make a meaningful difference.

The initial pilot involved approximately 1,000 workers from several parts of Uber’s business, including finance, operations and product. According to reporting by TechCrunch, about 80% of those early adopters were non-engineers.

That is significant because enterprise AI adoption is not limited to software developers. Employees who analyze business performance, prepare reports, manage projects or coordinate operations can also benefit from tools that summarize information and handle repetitive work.

Uber’s broader rollout gives teams room to experiment with these capabilities while the company evaluates their results. Rather than prescribing one universal use case, the company intends to learn which workflows employees develop and where the technology provides measurable value.

The expansion also builds on Uber’s existing relationship with OpenAI, giving the company a more consistent way to bring AI-assisted work into its global operations.

What Is ChatGPT Work?

ChatGPT Work is an agentic AI tool designed to handle longer tasks that require multiple steps, research and work across files or applications.

A conventional chatbot typically responds to a prompt with an answer. An agentic system can take a broader assignment, gather relevant information, analyze it, work with connected tools and produce a finished deliverable.

For example, an employee could ask an AI agent to review documents, summarize important findings and prepare a presentation. Depending on the available integrations and permissions, the agent could work across several applications instead of requiring the employee to copy information manually between them.

At Uber, the deployment is intended to support tasks such as:

• Researching business questions and summarizing findings.
• Analyzing operational data to identify trends and develop recommendations.
• Preparing meeting briefs and presentations.
• Creating reports and interactive dashboards.
• Adapting training materials for different markets and languages.
• Coordinating multi-step workflows across connected applications.

The objective is not simply to generate text more quickly. It is to help employees complete an entire workflow with less manual effort.

How ChatGPT Work Connects With Uber’s Existing Tools

OpenAI says ChatGPT Work can connect with workplace applications including Google Drive, Gmail, Google Calendar and Slack. These integrations allow employees to work with information distributed across the tools they already use.

Connected tool	Potential workplace application
Google Drive	Find relevant documents and summarize information
Gmail	Review correspondence and prepare email-related work
Google Calendar	Gather context for meetings and prepare briefings
Slack	Research discussions and collect relevant team updates

The actual capabilities available to an employee depend on which integrations Uber approves and how access permissions are configured.

This is an important distinction for enterprise deployments. Connecting an AI agent to company systems can save time, but it also requires careful management of confidential information, access rights and actions the agent is permitted to perform.

Organizations need to ensure that employees can only retrieve information they are authorized to see and that sensitive actions remain subject to suitable controls. The rollout announcement does not provide a complete technical description of Uber’s internal permission policies.

What Uber Learned From Its Initial AI Pilot

Uber’s early pilot provided examples of how AI could support employees outside software engineering.

According to TechCrunch’s reporting, employees used the tool to analyze complex operational data, identify trends and develop recommendations. Other applications included adapting training materials for different markets and languages and building personalized interactive dashboards.

These examples illustrate three distinct benefits.

Faster analysis: AI can help employees explore large amounts of operational information and organize findings into useful summaries.

Content localization: Teams working across multiple markets can use AI to help adapt internal training materials for different languages and audiences, with human review where accuracy matters.

Personalized tools: Employees can experiment with dashboards and other information interfaces tailored to their day-to-day responsibilities.

Uber has also experimented with a separate initiative called AI pods. In this program, the company paired 30 AI engineers with teams across the business for two weeks to identify opportunities to automate important parts of their work.

Uber has described one example in which a capital-allocation process spanning 150 cities was reduced from 15 hours to 30 minutes. That is a company-reported result from a particular workflow, not evidence that every ChatGPT Work task will produce comparable savings.

The larger lesson is that useful AI automation often requires collaboration between technical specialists and employees who understand the business process being improved.

What This Means for OpenAI’s Enterprise Business

The Uber deployment is an important enterprise reference for OpenAI because it takes ChatGPT Work beyond a small pilot and into a company-wide rollout.

Large organizations need AI systems that can operate within established workflows, integrate with business applications and support employees with different technical backgrounds. A broad deployment also creates opportunities to learn which tasks are suitable for automation and where human oversight remains essential.

OpenAI says Uber will have access to its portfolio of frontier models, with GPT-6.1 Sol serving as the default capability within ChatGPT Work. The rollout also includes multimodal capabilities, such as voice and image generation, for different types of tasks.

Uber’s software engineering teams will continue using Codex to accelerate software development. This means the company is not treating ChatGPT Work as a replacement for every specialized AI tool, but as part of a broader collection of workplace AI capabilities.

The deployment also comes as AI providers compete to win enterprise customers. Demonstrating that employees can use AI across everyday business functions could become an important factor in future purchasing decisions.

Will ChatGPT Work Improve Employee Productivity?

The potential benefits are clear, but the actual impact will depend on how employees use the system.

AI can reduce time spent on repetitive analysis, document preparation and information gathering. However, it can also produce inaccurate summaries, misunderstand requests or require additional review. Connecting multiple applications introduces further questions about data protection, permissions and accountability.

Uber has not disclosed the financial terms of the rollout or a comprehensive set of company-wide productivity results. The company says it will evaluate how employees use the technology, which workflows they create and whether those workflows help them work more effectively.

That approach is important because adoption alone does not prove success. A meaningful assessment should examine time saved, output quality, error rates, employee satisfaction and the cost of operating the system.

The results could help Uber decide where to expand AI automation, which use cases require additional safeguards and which tasks still benefit most from human judgment.

The Bigger Picture

Uber’s decision illustrates how enterprise AI is moving from isolated experimentation toward broad workplace deployment. By making an agentic tool available across departments, the company is testing whether AI can become a regular part of how employees research, analyze information and complete multi-step assignments.

The most important outcome will not be the number of employees given access, but whether the technology produces measurable improvements without creating unacceptable risks. If Uber can identify repeatable, high-value workflows and establish effective controls, its experience could offer lessons for other large organizations considering similar deployments.

FAQs

1. What is ChatGPT Work?

ChatGPT Work is an AI agent designed for complex, multi-step workplace tasks. It can research information, analyze data, work across connected applications and produce deliverables such as reports, presentations and other business documents.

2. How many Uber employees will use ChatGPT Work?

Uber announced a rollout to more than 30,000 employees worldwide on October 22, 2026, expanding from an initial pilot involving approximately 1,000 workers.

3. What will Uber employees use ChatGPT Work for?

Potential uses include operational data analysis, research, meeting briefs, presentations, localized training materials, personalized dashboards and workflows across approved workplace applications.

4. Will ChatGPT Work replace Uber’s software engineers?

The announcement does not indicate that the rollout is intended to replace software engineers. Uber’s developers will continue using Codex for software development, while ChatGPT Work supports a wider range of workplace tasks.

5. Has Uber confirmed major productivity gains from ChatGPT Work?

Uber has shared examples of AI-assisted workflows and says it will measure how employees use the tool and whether it improves effectiveness. However, it has not published comprehensive productivity results for the company-wide rollout.

Looking Ahead

The next phase will focus on how employees use ChatGPT Work in practice and which workflows deliver measurable benefits. Adoption data, productivity metrics, employee feedback and the quality of completed work will help Uber determine where AI can make the greatest contribution across its global operations.

For OpenAI, the rollout provides an opportunity to demonstrate the value of agentic AI in a large enterprise environment. The long-term test will be whether these tools can reliably complete useful work, integrate safely with company systems and deliver enough measurable value to justify their cost.