Uber executives revealed during an earnings call held on November 4, 2026, that third-party artificial intelligence agents accounted for a negligible fraction of the company's total transactions last quarter. The disclosures indicate that only four rides were arranged by these external bots, while approximately 500 food deliveries were fulfilled by AI agents during the week of Halloween. These figures represent a tiny portion of the 320 million total rides and Uber Eats deliveries processed by the platform during the same period.
This marks the first time Uber has publicly quantified the volume of orders generated by third-party AI systems. The data points to a current state where the risk of disintermediation, a concept where customers bypass direct platform apps to use AI intermediaries, remains very low despite growing industry concerns. Experts have previously suggested that platforms such as Uber and DoorDash could face significant disruption if users increasingly rely on AI agents like Meta’s Muse or OpenAI’s Dots to book travel and order meals.
CEO Dara Khosrowshahi addressed the situation by expressing a balanced view on the emerging technology. He stated that the company hopes to see more traction with these tools but remains confident that its direct services will continue to offer the most delightful and easy experience for consumers. Khosrowshahi emphasized that Uber intends to work with third parties to ensure their agents can access the platform efficiently, while also striving to maintain a strong direct relationship with its customer base.
The executive noted that the market for AI-mediated transactions is still in its very early stages. Khosrowshahi said, “We do think that we want to make services that are available to consumers in a delightful, easy way. We think our direct services are going to be the most delightful and easy, but we will work with these third parties.” He added that Uber aims to avoid becoming dependent on any single player in this evolving landscape, positioning the company well for future developments.
Industry observers note that the first wave of AI agents still faces significant friction points before they can become a viable primary method for ordering food or booking rides for the average consumer. Platform operators like Uber and DoorDash currently have little incentive to allow external agents to replace their direct customer engagement, which is a key source of value and data. However, AI companies view this sector as a primary use case and a critical path to a more profitable future, suggesting they will continue to refine their technologies to overcome current barriers.
Despite the low current volume, the interaction between AI agents and ride-hailing platforms is expected to evolve. Uber is actively developing its own internal AI tools designed to keep customers within its native ecosystem. One such initiative is the Cart Assistant for Uber Eats, which was rolled out earlier this year. This feature allows an AI bot to construct a grocery list based on an image of a recipe or a simple text prompt, aiming to streamline the shopping process directly within the Uber app.
The strategic approach of Uber appears to be one of cautious openness. By disclosing the small number of AI-generated orders, the company demonstrates transparency while simultaneously reassuring investors that the core business model remains intact. The data suggests that while AI agents are entering the space, they have not yet displaced the traditional app-based model that Uber has built over the last decade.
The distinction between ride-hailing and food delivery is notable in the reported figures. While only four rides were booked via third-party agents, the roughly 500 food deliveries indicate a slightly higher adoption rate in the grocery and meal sector. This may reflect the complexity of food ordering, where AI agents can currently offer more tangible benefits in terms of selection and convenience compared to the simple point-to-point nature of ride-hailing.
As the technology matures, the dynamic between platform owners and AI developers will likely become a focal point for business strategy. Uber’s position of being open to collaboration while maintaining a strong direct presence provides a flexible framework for adapting to these changes. The company’s goal is to ensure that whether a customer uses the app directly or through an AI agent, the service remains seamless and reliable.
In conclusion, the latest earnings data provides a clear snapshot of the current state of AI integration in the gig economy. With only a handful of rides and a few hundred deliveries attributed to third-party agents, the immediate impact is minimal. However, the long-term implications of AI disintermediation remain a subject of close monitoring for Uber and its competitors as they navigate the next phase of digital transformation.
