Uber puts all 30,000 employees on ChatGPT Work — one of the largest enterprise AI agent rollouts yet

• Who: Uber and OpenAI, in a joint announcement on October 22, 2026
• What: ChatGPT Work expanded to Uber's entire global workforce — about 30,000 employees
• Pilot: 1,000 employees earlier in 2026 across finance, operations and product; about 80% were non-engineers
• Model: GPT-6.1 Sol (released September 29) as the default; engineers keep using OpenAI's Codex
• Product: ChatGPT Work, an agent inside ChatGPT Enterprise introduced July 9, 2026, for complex multi-step tasks
• Cost and results: undisclosed — Uber says it will track usage and workflows before deciding how to deploy AI next

Uber's experiment with AI agents is over. On Thursday, Uber and OpenAI announced that ChatGPT Work — OpenAI's agentic platform inside ChatGPT Enterprise — is being rolled out to Uber's entire global workforce of roughly 30,000 employees, scaling up from a 1,000-person pilot earlier this year.

The rollout is Uber's first company-wide deployment of an agentic platform for knowledge work, and one of the largest corporate rollouts of AI agents to date. It's the kind of deal OpenAI has been chasing as it races Anthropic for enterprise customers: a reference customer with tens of thousands of seats, deployed not to developers first but to the whole business at once.

From 1,000 to 30,000

The pilot, run earlier this year, covered employees across finance, operations and product, TechCrunch reports. The most striking detail: about 80% of the pilot users were non-engineers, according to Uber VP of engineering Sumanth Sukumar. They used the agent to analyze complex operations data, localize training materials across markets and languages, and build personalized interactive dashboards.

To seed adoption, Uber paired 30 AI engineers with operational teams in two-week automation sprints it called “AI pods.” The lesson, per Sukumar: “Our approach is to make powerful AI tools available across Uber while giving teams room to experiment.” Uber deliberately hasn't prescribed how employees must use the tool — it plans to watch which workflows emerge and use that to guide future AI investments.

What's inside the deployment

ChatGPT Work is an agent designed to take on complex, multi-step tasks and deliver finished work, running inside ChatGPT Enterprise. OpenAI began rolling it out on July 9, pitching it as a tool for work more complex than a typical chat request — it can act across a user's apps and files, stay with a project for hours, and produce sheets, slides, docs and web apps.

At Uber it will be plugged into the tools employees already use — Gmail, Google Drive, Google Calendar and Slack — to research information, prepare meeting briefs, create presentations and analyze data. Operations, finance, marketing and product teams get training, approved app connections and an internal library of AI skills. The default model will be GPT-6.1 Sol, released September 29, which OpenAI says balances frontier performance and cost efficiency. Software engineers, meanwhile, keep using Codex for coding workflows.

The number Uber isn't sharing

Neither company disclosed what Uber is paying, nor any measured results from the pilot. That silence is the most interesting part of the announcement: Uber says it will track how employees use the technology and whether it helps them work more effectively, and only then decide how to deploy AI across the business. AI vendors routinely tout pilot productivity gains; here, the pilot's only publicized outcome is that people — mostly non-engineers — actually used it.

Context: the cuts that came first

The rollout lands about seven weeks after Uber's largest job cuts since the pandemic: on September 2, CEO Dara Khosrowshahi told employees the company would eliminate about 3,300 roles, roughly 10% of its workforce, including a 20% cut in management positions, redirecting savings toward growth bets like autonomous rides. Uber had about 34,000 employees at the end of 2025. The ChatGPT Work announcement doesn't mention the cuts, and neither company has linked the two — but the sequence, workforce shrinkage followed by a company-wide agent deployment, will be hard for employees to read as a coincidence.

Why it matters

Uber's move is a data point in the fastest-shifting part of the AI market: from selling models to developers to selling agents to everyone else. The fact that 80% of Uber's pilot users were non-engineers suggests the value proposition — an agent that lives in your work apps and finishes tasks — lands with the knowledge workers who've been hardest to reach with AI tools. If the rollout delivers measurable productivity, expect every Fortune 500 CIO to be quoting this deal by Christmas.