Uber scales OpenAI partnership: All 30k staff get ChatGPT Work after pilot success
The ride-share giant expands its partnership with OpenAI, moving from a limited pilot to company-wide access for all employees worldwide.
Key points
- Uber expands ChatGPT Work access to its entire global workforce of approximately 30,000 people.
- The rollout follows an earlier pilot program that included 1,000 employees from various departments.
- Most early adopters in the pilot were non-engineers using the tool for data analysis and localization.
Uber and OpenAI announced on Thursday that the ride-share company is rolling out ChatGPT Work to its entire global workforce. According to TechCrunch, this expansion brings the enterprise-focused AI agent to all 30,000 employees, marking a significant scale-up from previous limited testing phases.
The company previously deployed a much smaller pilot for ChatGPT Work earlier this year, which involved 1,000 employees. This initial group represented a cross-section of Uber’s various departments, including finance, operations, and product teams. The pilot allowed the company to test the tool’s utility across different business functions before committing to a full deployment.
Pilot Program Insights
Sumanth Sukumar, Uber’s VP of engineering, told TechCrunch that a majority of the early adopters in the pilot were non-engineers. Specifically, about 80% of the participants in the initial phase did not hold engineering roles. This demographic breakdown highlights the tool's potential utility for non-technical staff members who handle diverse operational tasks.
These employees used the AI agent for a wide range of tasks during the trial period. They analyzed complex operational data to identify trends and develop recommendations. Additionally, they localized training materials for different markets and languages, and built personalized interactive dashboards to manage their daily work routines.
Strategic Implementation Approach
Uber has not settled on a single prescribed method for how employees will use the new tool. Instead, the company aims to give teams room to experiment while making powerful AI tools available across the organization. Sukumar noted that the company paired 30 AI engineers with various teams earlier this year for two-week sprints to automate key job parts.
These “AI pods” demonstrated the opportunity that arises when technical expertise combines with a deep understanding of specific jobs. Uber plans to track how employees use the technology and the kinds of workflows they develop. The company will evaluate these outcomes to guide future AI deployment strategies across the business.
What should you do?
Security and technology professionals should monitor how their organizations integrate generative AI tools into daily workflows. It is important to establish clear guidelines for data handling when using enterprise AI agents. Teams should document the specific use cases and workflows that emerge from early adoption phases.
Background: Generative AI
Generative AI examples include text completion, image synthesis and code generation. These systems predict the next likely token based on vast training datasets. Understanding the underlying mechanics helps you identify risks like data leakage and hallucination in your infrastructure.
Read the full guide: Generative AI Examples: Mechanisms, Risks and Control
What to do and how to stay safe: Uber
- Review internal policies regarding the use of generative AI tools to ensure they align with current data privacy standards.
- Monitor employee usage patterns to identify potential security risks or unintended data exposure through AI agents.
- Establish clear guidelines for handling sensitive information when using third-party AI services for business tasks.
- Evaluate the effectiveness of AI tools in specific workflows to determine long-term integration strategies.
Step-by-step guide: Prompt Injection Warning Signs: How to Spot AI Manipulation
General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
How many employees are now using ChatGPT Work at Uber?
Uber is rolling out ChatGPT Work to its entire global workforce, which consists of approximately 30,000 people.
Who participated in the initial pilot program for ChatGPT Work?
The initial pilot involved 1,000 employees from various departments, with 80% of them being non-engineers.
What tasks did employees perform using ChatGPT Work during the pilot?
Employees used the tool for analyzing complex data, localizing training materials, and building interactive dashboards.
