Uber is moving all 30,000 of its employees onto OpenAI's ChatGPT Work after a 1,000-person test. Here is what the company says it learned and what it has not shared.
Uber is giving its entire global workforce, about 30,000 people, access to ChatGPT Work, an AI assistant for office tasks made by OpenAI. The company told TechCrunch about the expansion on Thursday. It follows a much smaller test that started earlier this year.
OpenAI introduced ChatGPT Work in July as a tool for companies. It is described as an AI agent, which means teams can set it up to help with different workflows. Uber first tried it with 1,000 employees. Now every employee will use it. Uber says OpenAI worked closely with the company to connect the tool to its systems.
The pilot reached people in finance, operations and product. About 80% of those early users were not engineers, according to Sumanth Sukumar, Uber's VP of engineering. He listed some of the ways they used it:
Uber has not locked in a single way to use the tool. Sukumar said the goal is to make AI tools widely available while giving teams room to experiment. Earlier this year, Uber paired 30 AI engineers with teams and gave them two weeks to automate key parts of their jobs. Uber calls these groups AI pods.
Uber did not say how much the rollout costs. It also did not share results from the pilot beyond the examples above. Sukumar said the company will watch how employees use the tool, what workflows they build and whether it helps them work better. Uber plans to use those findings to decide how to bring AI into the rest of the business.
The deal shows how hard OpenAI is pushing into business customers, where its main rival is Anthropic. TechCrunch notes that OpenAI was once known mostly as a consumer brand but has gained a loyal following among companies.
For smaller teams, Uber's path is easy to copy in spirit: start with a small group, let people try things, then measure what worked before expanding.
Uber went from a 1,000-person pilot to 30,000 users, and says it will measure results as it goes. A small test first is a sound way to try AI at work.
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