Uber expands ChatGPT Work rollout across 30,000 employees

Uber expands ChatGPT Work rollout across 30,000 employees
Uber rolls out ChatGPT

Uber is widening its use of enterprise AI tools by extending ChatGPT Work to its entire global workforce of about 30,000 employees. The move follows a smaller pilot earlier this year and signals a broader effort to test how generative AI can support functions beyond engineering across the company.

Highlights

  • Uber expanded its partnership with OpenAI, rolling out ChatGPT Work to all 30,000 employees after piloting with 1,000 staff across departments.
  • Sumanth Sukumar reported 80% of early ChatGPT Work users were non-engineers, focusing on data analysis, trend identification, and workflow optimization beyond technical teams.
  • Uber remains undisclosed about deployment costs and will monitor usage and productivity impact as it assesses the commercial value of broader AI integration company-wide.

Company-wide AI deployment strategy

As first reported by TechCrunch, Uber and OpenAI announced on Thursday an expanded partnership that brings ChatGPT Work to the ride-share group's full employee base. ChatGPT Work, introduced in July, is positioned as an enterprise-focused AI agent for corporate workflows.

Uber previously deployed the tool to 1,000 employees in a pilot spanning departments including finance, operations and product. Sumanth Sukumar, Uber's vice president of engineering, said about 80% of those early users were non-engineers, highlighting the company's focus on broader business applications rather than only technical teams.

According to Sukumar, employees used the tool to analyze complex operating data, identify trends, develop recommendations, localize training materials for different markets and languages, and build interactive dashboards for day-to-day work. He said Uber's approach is to make AI tools broadly available while giving teams room to experiment with practical uses.

Operational impact and next steps

Uber has not disclosed the cost of the wider rollout, suggesting the company is still assessing the commercial value of the deployment as usage expands. Sukumar said Uber plans to monitor how employees use the technology, what workflows they build and whether the tool improves effectiveness across the business.

The company also points to earlier internal experiments to shape its AI strategy. Sukumar said Uber paired 30 AI engineers with teams across the company for two weeks earlier this year to automate key parts of their jobs, an initiative that helped show where technical expertise and role-specific knowledge could generate productivity gains.

OpenAI worked closely with Uber on integrating the chatbot, the company said. The rollout adds to a growing wave of enterprise AI adoption as large employers test whether generative AI can improve operations, training and decision-making at scale.

In our earlier article on a KPMG U.S. CEO survey about AI agents, we noted that many large companies are already seeing measurable efficiency and growth gains, even if only a small share of executives view the technology as truly transformational today. The survey also highlighted that AI adoption is being paired with continued investment, retraining, and hiring plans as firms work through the tougher process changes needed to embed AI into core workflows.

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