Realtime AI News
Uber rolls out ChatGPT Work to all 30,000 employees
OpenAI says Uber is rolling out ChatGPT Work to more than 30,000 employees for research, data analysis, presentations and complex workflows. The company-wide deployment follows a much smaller pilot, making it one of the largest known rollouts of an enterprise AI agent.
OpenAI said in an official announcement that Uber is rolling out ChatGPT Work to more than 30,000 employees, covering research, data analysis, presentation building and complex multi-step workflows.
The move follows a much smaller pilot inside Uber. The ride-hailing company had previously opened ChatGPT Work to a limited group of teams, and is now taking the enterprise agent product company-wide to a workforce of more than thirty thousand people.
According to OpenAI's description, the emphasis is on ordinary knowledge work: employees can use the product to gather and organize information, analyze data, draft presentations, and hand off tasks that span several systems. Work like this was previously split across a handful of single-purpose tools.
A 30,000-seat deployment puts an AI assistant into the standard tool stack rather than a technical experiment, which is a meaningful signal for a company known for operational discipline.
The announcement did not disclose contract value, a deployment timeline, or any measured productivity gains. Those gaps matter, because large enterprise rollouts usually hinge on permissions, data boundaries and training rather than on the licence count.
The number to watch is adoption, not seats. Open questions include daily active use, which departments settle into repeatable patterns, and whether Uber eventually publishes measurable business results.
For OpenAI, a flagship customer of this size is also a reference case. Whether ChatGPT Work becomes everyday infrastructure inside large organizations will shape its position in the enterprise AI market.
Why it matters
The rollout moves enterprise AI from pilot to company-wide deployment, giving the market a large-scale test of whether office AI tools actually get used.
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