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Uber expands ChatGPT Work to all 30,000 employees

Uber says its global workforce will use ChatGPT Work after an earlier 1,000-person pilot. The company has not disclosed the rollout’s cost.

By Published by Oossa: 1 min read

Annie Spratt · Unsplash

Uber and OpenAI announced on October 22, 2026, that Uber is expanding its use of ChatGPT Work to the company’s entire global workforce, about 30,000 employees. Uber previously tested the enterprise-focused AI tool with 1,000 employees earlier in 2026.

The pilot included people in finance, operations and product, as well as other departments. Uber vice president of engineering Sumanth Sukumar told TechCrunch that about 80% of the early users were not engineers.

How employees used it

During the pilot, employees used ChatGPT Work to analyze operations data, spot trends and develop recommendations. They also used it to adapt training materials for different markets and languages, and to create interactive dashboards for managing daily work, Sukumar said.

Uber has not set out a single company-wide way to use the tool. Sukumar said the company wants teams to experiment. Earlier this year, Uber also paired 30 AI engineers with teams for two weeks to work on automating parts of their jobs. The company called these groups “AI pods.”

Cost and results remain unclear

Uber did not disclose how much it will spend on the wider rollout. Sukumar said it will track how employees use the technology, what workflows they create and whether it helps them work more effectively. The company plans to use those findings to guide future AI deployments.

Uber said OpenAI worked closely with it on integrating ChatGPT Work. The announcement does not give details about how employees will receive the tool, whether its use is required, or what results Uber expects from the full rollout.

Why it matters

For Uber employees, the expansion means ChatGPT Work is being made available across a much wider range of roles than the original pilot. The pilot offers examples of possible tasks, such as analyzing operations data and adapting training materials, but Uber has not yet reported whether the tool improves work or explained whether its use will be required.

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