ChatGPT Work rollout: Uber equips more than 30,000 employees

Uber has completed a company-wide ChatGPT Work rollout, making the agent available to more than 30,000 employees as of Oct. 22, 2026. The deployment follows a pilot involving 1,000 staff and marks Uber’s first organization-wide adoption of an agentic platform intended to support multi-step knowledge work across the business.

The deployment integrates ChatGPT Work with several of Uber’s everyday tools, including Google Drive, Gmail, Google Calendar and Slack. According to OpenAI, these integrations allow employees to ask the agent to surface information, prepare meeting briefs, assemble presentations, analyze data and execute workflows that move across multiple applications. The integrations are positioned to let staff draw on data and communications already housed in those systems while using the agent to stitch tasks together.

OpenAI said Uber will access its frontier model portfolio through this rollout. GPT-6.1 Sol is being deployed as the default capability within ChatGPT Work, selected to balance frontier performance and cost efficiency. Teams at Uber will also be able to use multimodal features such as voice and image generation, giving employees the option to choose model capabilities appropriate to different task types—whether composing text, generating visuals or working with audio inputs.

Uber plans to support adoption with internal resources and training. The company will provide an AI skills library, a set of approved integrations and targeted employee training aimed at groups across operations, finance, marketing and product. That training is intended to help teams understand when and how to apply the agent effectively for tasks that span research, planning and execution.

The rollout is also designed to coexist with developer workflows. Uber’s engineering teams will continue to use Codex to accelerate software development and coding tasks, while ChatGPT Work targets knowledge-worker use cases that involve multi-step processes and cross-application workflows. OpenAI and Uber have framed the deployment as part of a broader collaboration and strategy to explore how agentic platforms can scale inside a large enterprise.

OpenAI described the expansion as a milestone in Uber’s AI strategy. By provisioning ChatGPT Work to tens of thousands of employees, the companies said they intend to study adoption patterns, concrete use cases and measurable outcomes as the rollout progresses. Both parties have indicated they will share further insights on how the agent performs in real-world organizational contexts and which workflows benefit most from agentic assistance.

For employees, the immediate changes are practical: access to an agent that can surface relevant documents from Drive, summarize email threads, draft meeting briefs and coordinate actions across calendar and messaging systems. For Uber, the move represents an attempt to institutionalize an assistant that can handle multi-step tasks rather than one-off queries.

The deployment also raises questions typical of large-scale AI rollouts—how integrations are governed, which permissions and safeguards are applied, and how training and approved integration lists will evolve over time. OpenAI’s announcement emphasized approved integrations and internal training as components of Uber’s adoption plan, but both companies have said they will report back with additional findings as teams begin broader use.

By choosing GPT-6.1 Sol as the default and enabling multimodal capabilities, Uber is positioning ChatGPT Work as a flexible assistant for a variety of knowledge tasks. The company’s decision to continue using Codex for developer-focused tasks indicates a bifurcated approach: specialized tools for software engineering and a dedicated agentic platform for multi-step knowledge workflows.

Conclusion
Uber’s company-wide ChatGPT Work rollout extends the agent to more than 30,000 employees and ties it into core workplace applications. Backed by GPT-6.1 Sol and multimodal features, the deployment is supported by internal training, approved integrations and an ongoing collaboration with OpenAI that will track adoption and outcomes as the initiative scales across the organization.

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