Urban Autonomy Lab
Chapter 2 · EV102

Uber Q1 2026 Earnings — Ten New AV Partnerships, Launch of Uber Autonomous Solutions, AV Trips 10x Year-Over-Year — 6 May 2026

Date collected: 11 May 2026
Summary

Demand platform becomes capability-aggregator; selling insurance, ops, training data to AV operators; cross-operator data concentration

Headline Finding

On 6 May 2026 Uber Technologies reported Q1 2026 results: Gross Bookings of $53.7B (up 25% YoY), Revenue of $13.2B (up 14% YoY), and EPS of $0.72 (up 44% YoY). Embedded in the earnings call and prepared remarks were three CAM-relevant disclosures: (a) Uber announced ten new or expanded AV partnerships during the quarter, including Wayve/Nissan Tokyo (announced 12 March 2026), Motional Las Vegas commercial launch on the Uber app, and the WeRide expansion of fully driverless service to Dubai; (b) Uber launched a new business division called “Uber Autonomous Solutions” providing services to AV partners — custom insurance, operations and maintenance, depot and fleet asset management, training data, and demand-pattern intelligence; and (c) AV Mobility trips on Uber’s platform grew 10x year-over-year, are now live in 8 cities, and are targeted to expand to 15 cities by year-end 2026, with Waymo services targeted at 15 cities by end-2026. The structural change is that Uber is no longer only a demand platform partnering with AV operators; it is now positioning itself as a capability-aggregator — selling services to the AV operators it carries on its demand platform.

Detail

  • Headline financials (Q1 2026):
    • Gross Bookings: $53.7B (+25% YoY).
    • Revenue: $13.2B (+14% YoY).
    • Non-GAAP EPS: $0.72 (+44% YoY).
    • U.S. Mobility growth accelerated, driven by insurance savings.
  • AV partnerships announced or expanded in Q1 2026:
    • Wayve + Nissan + Uber: Tokyo robotaxi pilot using Nissan LEAF + Wayve AI Driver, launching late 2026 (announced 12 March 2026).
    • Motional + Uber: Commercial robotaxi launch in Las Vegas, IONIQ 5 robotaxis available via the Uber app.
    • WeRide + Uber: Fully driverless commercial service expansion in Dubai (March 2026) and Riyadh (October 2025 commercial launch, ongoing).
    • Pony.ai + Uber + Verne: Europe’s first commercial robotaxi service in Zagreb, Croatia (launched 8 April 2026; daily 7am–9pm; ~90 sq km).
    • Lucid + Nuro + Hertz/Oro + Uber: Bay Area robotaxi launch end of 2026 (EV94, EV101).
    • VW MOIA + Uber: ID. Buzz AD robotaxi testing in Los Angeles (April 2026, pre-launch).
    • Avride + Uber: Dallas passenger service ongoing since December 2025 (now subject to NHTSA PE26-003 preliminary investigation, EV97).
    • Waymo + Uber: continuing in Austin and Atlanta; targeting 15 cities by end-2026.
  • “Uber Autonomous Solutions” — new division:
    • Custom insurance products tailored to AV partner operating profile.
    • Fleet operations, maintenance, charging, and depot services (cross-reference Oro Mobility, EV94).
    • Training data and demand-pattern intelligence sold to AV partners.
    • Compliance and regulatory-engagement support.
  • AV trip volume metrics:
    • 10x year-over-year growth in AV mobility trips on the Uber platform.
    • 8 cities with AV trips on Uber today.
    • Target: 15 cities by year-end 2026.
  • Customer-engagement metrics: AV-platform-carried trips are reported to demonstrate the same retention and frequency-of-use patterns as driver-led trips, with measurable premium-tier conversion among riders who experience an AV trip.

Governance Implication

Three points relevant to the paper:

  1. Uber is now structurally a multi-operator capability-aggregator — not a peer to AV operators but a layer above them. The launch of Uber Autonomous Solutions converts Uber from a partner-platform (carrying AV partners’ demand) into a vertically-integrated services aggregator. The four-archetype framing from EV94 should be revised: the four legally distinct entities embedded in a single ride (OEM, ADS-stack, fleet operator, demand platform) are now joined by a fifth — insurance and operational-services provider — and Uber is positioning itself to be that fifth party across multiple AV operators. The paper’s Ch.2 What is CAM chapter should now treat Uber’s evolution as evidence of a structural specialisation pattern: the AV value-chain is decomposing into vertical layers (OEM, ADS, fleet ops, demand, insurance/services), each of which can be staffed by a different commercial party. Cities considering licensing frameworks must increasingly evaluate which layer they are licensing — and where responsibility allocations should land.

  2. Cross-operator data centralisation in a single demand platform is a Ch.6 Sensing governance design question. With Avride, Waymo, Motional, WeRide, Pony.ai, Wayve/Nissan, MOIA, and Nuro/Lucid all running passenger services on the Uber app, Uber holds the most comprehensive cross-operator AV operational dataset in the world. The data covers ride origins/destinations, fares, ride durations, customer ratings, complaints, incident timings, and platform-level safety patterns — across all major Western and Gulf-region AV operators. The Ch.6 Sensing chapter should treat this concentration of cross-operator data in a single demand platform’s hands as a governance design question: who has access? Under what terms? With what auditability? A demand platform that aggregates safety telemetry across multiple AV operators is occupying a regulatory function that city-state authorities would otherwise need to perform. The paper should propose the framing question: should city-state regulators require Uber Autonomous Solutions to share cross-operator safety data with public authorities as a condition of the city-level operating permit?

  3. The Ch.4 Stakes capital-flow analysis should now include the platform-as-aggregator revenue line. Last week’s EV96 named the depot-and-grid capital flows as the first-order CAM infrastructure spend. EV94 named fleet-operator-as-a-service revenues (Hertz/Oro). The Uber Autonomous Solutions launch now formalises a third revenue line: AV-services revenues earned by the demand platform from the AV operators it carries. Uber’s 10x AV trip growth indicates this is a material and accelerating revenue stream. The Ch.4 Stakes chapter should treat the platform-as-aggregator revenue line — insurance, fleet ops, training data, compliance services — as a distinct CAM economic flow worth tracking in the paper’s Ch.4 economics framework.

Sources

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