Uber eyes driver sensor grid to speed self-driving push

Uber wants to transform its massive driver network into a rolling sensor grid for the self-driving industry.

At TechCrunch’s StrictlyVC event in San Francisco on Thursday night, Uber chief technology officer Praveen Neppalli Naga outlined the idea as a natural next step from AV Labs, the program the company introduced in late January. The pitch points to a broader ambition: Uber does not just want to move people and food, it wants to help supply the real-world signals autonomous vehicle companies need to build and refine their systems.

Uber’s latest move suggests the company sees everyday driving as valuable infrastructure for the autonomous future.

The logic is easy to grasp. Uber already operates at enormous scale, with drivers navigating city streets, suburbs, and airport runs every day. That reach could give self-driving companies access to a constantly refreshed stream of road-level information without deploying their own fleets everywhere at once. Reports indicate Uber views that footprint as a strategic asset as competition intensifies around autonomous technology.

The idea also sharpens Uber’s position in a fast-changing market. Rather than building every piece of autonomous technology itself, the company appears to be leaning into its strongest advantage: scale in the physical world. If Uber can turn ordinary trips into useful mapping, sensing, or road-intelligence inputs, it could become a critical middle layer between human driving today and autonomous transport tomorrow.

What comes next will determine whether this remains a compelling vision or becomes a meaningful business line. Uber still needs to show how such a system would work in practice, what data it would gather, and how partners would use it. But the direction matters now because it signals that the race for self-driving leadership will not depend only on robotaxis and software stacks. It may also hinge on who controls the richest stream of real-world driving data.