Global Rollout of ChatGPT Work

Uber and OpenAI announced an expansion of their partnership, with the ride-share giant confirming that its entire global workforce of 30,000 people will now be using ChatGPT Work.

ChatGPT Work was introduced in July as an enterprise-focused AI agent designed for corporate teams to deploy across various workflows.

Pilot Program Success

Uber initially piloted ChatGPT Work with 1,000 employees earlier this year and has now scaled its usage to encompass the entire company.

The initial pilot included workers from diverse Uber departments, such as finance, operations, and product. Sumanth Sukumar, Uber’s VP of engineering, noted that a significant majority, approximately 80%, of early adopters were non-engineers.

Diverse Use Cases Identified

Employees utilized the tool for a wide array of tasks, including analyzing complex operational data to identify trends and develop recommendations, localizing training materials for different markets and languages, and creating personalized interactive dashboards for daily work management.

Flexible Deployment Strategy

Despite the company-wide adoption, Uber maintains a flexible approach to how employees will integrate ChatGPT. Sukumar stated that the strategy is to provide powerful AI tools while allowing teams room to experiment. An earlier initiative involved pairing 30 AI engineers with various Uber teams for two weeks to automate key job functions, demonstrating significant opportunities.

Measuring Impact and Future Plans

Uber did not disclose the cost of the chatbot rollout. Instead, Sukumar indicated that the company will monitor employee usage, the types of workflows developed, and the tool's effectiveness. These outcomes will guide future AI deployments across the business, with OpenAI reportedly working closely on the integration.

OpenAI has rapidly expanded its enterprise business, competing with rivals like Anthropic. Once primarily known as a consumer brand, the creator of ChatGPT has quickly built a strong following among business customers, while other AI companies have faced challenges in keeping pace.