Uber puts 30,000 staff on ChatGPT Work for daily operations

Uber is rolling out ChatGPT Work to its entire workforce of 30,000 employees, according to OpenAI and TechCrunch. This expands the company's earlier pilot and gives every department access to the AI assistant.

Why it matters

This is a scale that few companies have attempted. Uber is giving every team, from operations to HR to finance, access to ChatGPT Work from the start. OpenAI says employees will use the tool to research, analyze data, create presentations, and complete complex workflows.

TechCrunch reports that Uber’s earlier pilot was limited, but this company-wide rollout means leadership now treats AI as a standard part of daily operations. Very few organizations have moved this quickly to make AI available to all staff. Uber’s approach will be closely watched by other large firms considering similar moves.

How Uber plans to use ChatGPT Work across departments

OpenAI says Uber teams will use ChatGPT Work for a wide range of business tasks. These include researching market trends, analyzing internal data, drafting communications, and building presentations. The rollout covers every function, not just technical or analytical teams.

By deploying ChatGPT Work at this scale, Uber is testing how far AI can go as a productivity tool. If it works, teams could see faster reporting, quicker responses to changes, and less manual effort for routine work. Other companies, such as IBM and Hugging Face, have adopted AI for specific use cases, but Uber is making it available to all staff as a default tool.

The company’s results will serve as a reference for other enterprises. If Uber can show measurable gains in speed or quality, that will be a signal for other large organizations still evaluating broad AI deployments.

What this means if you run a business

For business owners and operators, Uber’s move shows that broad AI adoption is now a leadership decision, not just a technical experiment. Rolling out ChatGPT Work to 30,000 people means Uber has to address onboarding, process changes, and security at every level.

AI is moving into the category of standard-issue software, alongside email and spreadsheets. If Uber can make it work for 30,000 employees, smaller organizations may see fewer barriers to trying similar tools. But the rollout also highlights the need for clear guidelines, staff training, and integration with existing systems. Turning on an AI tool is only the first step, companies need to define where it adds value and how to measure its impact.

Uber’s experience will provide practical data for other business leaders. If the company reports improvements in productivity or decision making, it will give others a reason to consider AI at a similar scale.