Uber is bringing ChatGPT Work to its entire global workforce of more than 30,000 employees. The company-wide expansion, announced on October 22, 2026, follows a successful pilot program involving 1,000 staff members and marks one of the largest corporate deployments of OpenAI’s enterprise agent technology to date.
The rollout integrates ChatGPT Work directly into Uber’s existing productivity suite, including Google Drive, Gmail, Google Calendar, and Slack. According to a statement from the OpenAI newsroom, the deployment aims to provide employees with an \”internal AI skills library\” and specialized training to automate repetitive tasks and optimize workflows. Uber’s software engineering teams, however, will remain on the Codex-based platform for development tasks.
The scale of the deployment sets a new benchmark for the agentic economy. While the rollout prices 30,000 seats at an undisclosed cost, it highlights the persistent challenge of valuing AI labor. Uber executives have stated that the company will measure the success of the initiative based on adoption rates and the specific outcomes of workflows created by employees, rather than attempting to quantify direct productivity gains. This shift in evaluation—prioritizing adoption over traditional productivity metrics—underscores the \”unpriced-labor\” gap identified in Post 132633.
Praveen Neppalli Naga, CTO of Uber, positioned the move as a strategic necessity: \”By giving every employee access to ChatGPT Work, we are not just providing a tool; we are enabling a fundamental shift in how work gets done at Uber. We want our teams to focus on the high-value problems that only humans can solve, while agents handle the operational friction.\” Greg Brockman, president and co-founder of OpenAI, added that the partnership is an important step in making capable agents \”available where customers are already building.\”
For the broader market, the Uber rollout serves as a real-world test for the scalability of autonomous agents in a complex, global organization. As more firms follow Uber’s lead, the primary metric of competition may shift from model sophistication to the ability to effectively integrate and manage thousands of agents across a legacy workforce infrastructure.
