On January 6, 2026, Uber Technologies and TomTom extended their multi-year collaboration to integrate TomTom’s mapping platform, Maps APIs, and live traffic services across Uber’s worldwide network. The upgrade is designed to improve route optimization, fare accuracy and pickup/drop-off precision in high-complexity locations such as international airports, transit hubs and large-capacity venues. TomTom’s system processes billions of data points daily from thousands of sources, while trip telemetry from Uber’s fleet feeds back to the map database in near real time. Uber expects the tighter integration to reduce average trip durations by up to 5% in urban cores and lower rider wait-time variability by 10%, bolstering service reliability for its global base of more than 120 million monthly active users.

At CES 2026, Uber unveiled progress on its robotaxi venture with Lucid Motors and Nuro, following a strategic $300 million investment and a commitment to purchase 20,000 Lucid Gravity electric SUVs. The production-intent vehicles, currently undergoing supervised public-road testing in the San Francisco Bay Area, feature a roof-mounted sensor “halo” containing lidar, high-resolution cameras, radar and LED identification lights. The autonomy stack runs on NVIDIA’s Drive AGX Thor compute platform. Interior interfaces include passenger-facing touchscreens showing live route animations and controls for climate, media and support requests. Uber plans a phased commercial launch later this year, initially in a two-row configuration, with a three-row layout to follow in 2027.

During CES, NVIDIA introduced the Alpamayo open-source AI toolkit for autonomous vehicles, which has garnered endorsement from Uber’s autonomous mobility division. Uber’s global head of Autonomous Mobility and Delivery noted that reasoning-based vision-language models and high-fidelity simulation frameworks are crucial for handling rare driving scenarios and expediting level 4 deployment. By integrating these open models and datasets into Uber’s AV partnerships, the company aims to enhance safety validation cycles by an estimated 30% and reduce reliance on physical prototype miles.

In early January, Melius Research revised its recommendation on Uber from Hold to Sell, citing escalating competition from emerging autonomous vehicle providers. The report highlights that Uber’s leading position in ride-hailing and delivery exposes it to margin pressure as robotaxi services expand. Analysts warn that if standalone AV operators scale operations aggressively in key U.S. markets, Uber’s revenue per trip could face downward pressure of up to 8% over the next two years, unless offset by strategic partnerships or service differentiation initiatives.