Uber has extended its working relationship with OpenAI, rolling out access to ChatGPT for Work across its entire global workforce of approximately 30,000 employees. The announcement came on Thursday, marking a significant escalation from an earlier, more limited deployment of the AI tool within the company.

ChatGPT for Work - launched in July of this year - is an enterprise-oriented AI agent designed to help corporate teams automate and manage a variety of workplace tasks. Unlike the consumer version of ChatGPT, the enterprise product is tailored for organizational deployment, with features built around business workflows and team collaboration.

From Pilot Program to Company-Wide Deployment

Uber's initial foray into using ChatGPT for Work was far more modest. Earlier this year, the company ran a pilot program with just 1,000 employees drawn from a cross-section of its business units, including finance, operations, and product teams. Notably, the vast majority of participants in that trial - around 80% - were not engineers, according to Sumanth Sukumar, Uber's Vice President of Engineering.

Sukumar described the breadth of ways those early users put the tool to work. "They used it for a wide range of tasks: analyzing complex data from our operations to identify trends and develop recommendations; localizing training materials for different markets and languages; and building personalized interactive dashboards to manage their daily work," he said.

The positive results from that initial group appear to have given Uber the confidence to scale the program across its full workforce, making it one of the larger enterprise-wide AI deployments announced by a major corporation to date.

A Flexible, Experimental Approach

Despite the company-wide rollout, Uber has not imposed a rigid framework dictating how employees must use the tool. Instead, the company is taking a more open-ended approach, giving individual teams latitude to explore how AI can best serve their specific functions.

"Our approach is to make powerful AI tools available across Uber while giving teams room to experiment," Sukumar explained. He pointed to a specific initiative earlier this year in which 30 AI engineers were embedded with various teams across the company for two-week sprints, tasked with automating key parts of those teams' day-to-day responsibilities.

Sukumar referred to these cross-functional groups as "AI pods," and said the exercise revealed the substantial potential that emerges when deep technical knowledge is paired with a thorough understanding of a given job function. The insights gained from those pods appear to be informing how Uber continues to think about AI integration going forward.

Measuring Impact Without Disclosing Costs

Uber has not disclosed the financial terms of its expanded agreement with OpenAI, nor has it revealed what it is spending on the broader rollout of ChatGPT for Work. Rather than focusing on cost metrics, the company says it intends to track how employees engage with the tool over time and use those findings to shape future AI strategy.

"We'll look at how employees are using the technology, the kinds of workflows they develop and how it helps them work more effectively. We'll evaluate those outcomes and use what we learn to guide how we deploy AI across the business," Sukumar said.

Uber also confirmed that OpenAI was directly involved in the integration process, working alongside the company's internal teams to ensure the chatbot was properly embedded into existing workflows.

OpenAI's Push Into Enterprise

The Uber deal reflects a broader strategic shift underway at OpenAI. The company, which first gained widespread recognition as a consumer-facing product through the public launch of ChatGPT in late 2022, has since been aggressively building out its enterprise business. That push comes as competition in the AI sector intensifies, particularly from Anthropic, which has emerged as one of OpenAI's primary rivals in the business market.

OpenAI has managed to cultivate a strong and growing base of corporate clients in a relatively short period, while several other AI companies have found it more difficult to achieve comparable traction with enterprise customers. The company's ability to convert its consumer brand recognition into business credibility has been a defining feature of its recent commercial growth.

For Uber, the move signals a clear commitment to embedding AI tools into the fabric of how the company operates - not just within its engineering teams, but across every department and function that makes up one of the world's largest ride-sharing and delivery platforms.