UBERUber Technologies, Inc.
AI adoption · Q1 2026 earnings call
IndustrialsScaling
15
extracted from this call
4 / 5
quantified with specifics
Not disclosed
no breakout in this call
AI was a prominent theme on Uber's Q1 2026 call, discussed across internal productivity, consumer-facing personalization, agentic interfaces, and autonomous vehicle strategy. Management framed AI as both an accelerator of engineering throughput and a platform differentiator enabling personalized, cross-product consumer experiences. Specific operational metrics were shared — notably that ~10% of committed code is now built by autonomous agents and that AI predicts the correct destination 75% of the time in Mobility — though P&L impact of AI investments was not quantified. Management also acknowledged increasing AI tool spend, noting they underestimated the budget required when setting 2026 plans.
Adopter
See full leaderboard →70/ 100
78
stage: scaling · max spec: 4
55
3 quant outcomes
85
3 scopes
internal_useproduct_embeddedinfrastructure_build
15 AI mentions from this call.
Extracted verbatim from the UBER Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T4Prepared remarks· CEO· Product-embedded AI
“We're also making strong progress across our strategic priorities, including autonomous, where we continue to believe a hybrid network will unlock significant long-term value. We now have more than 30 autonomous partners across Mobility and Delivery and are scaling deployments globally. AV Mobility trips grew more than 10x year-on-year, and we remain on track to be live in up to 15 cities by the end of the year”
— Dara Khosrowshahi, UBER earnings callUber Autonomous Solutions - T4Q&A· CFO· Product-embedded AIMaybe building on Doug's question, I wanted to go a little bit deeper in what you see as some of the critical technology investments you're making on the consumer-facing side
“at GO-GET, we talked about One Search, as another feature that we are introducing that is basically universal search across the product. Just to paint a picture of the size of the prize here, we are already seeing nearly $15 billion of run rate gross bookings for our Delivery business coming from our Mobility app and 30% of our eligible mobility consumers have never even used Uber Eats yet.”
— Balaji Krishnamurthy, UBER earnings callOne Search, Uber Eats - T4Q&A· CEO· Product-embedded AIMaybe building on Doug's question, I wanted to go a little bit deeper in what you see as some of the critical technology investments you're making on the consumer-facing side
“3/4 of the time when you get a ride on an Uber, we have preselected the destination for you. In other words, we anticipate where you're going to go. We offer it up as a card. And 3/4 of the rides on Uber, we have successfully actually predicted with AI algorithms where we think you're likely to go.”
— Dara Khosrowshahi, UBER earnings call - T4Q&A· CEO· Internal useStarting with AI spending, where you already bumped up on your original full year budget not long after the first quarter ended. When thinking about how you're approaching layering AI capabilities into workflows, are you viewing them as more supplementing or replacing existing processes
“if we look at the number of code commits per engineer, it's increasing. The number of lines per code is increasing. About 10% of our code now is committed. That committed is built by agents, autonomous agents out there. Obviously, we check the code before it gets committed.”
— Dara Khosrowshahi, UBER earnings call - T3Q&A· CEO· Product-embedded AII wanted to talk about an inbound question we're getting from investors a lot, and that's a greater risk to marketplaces direct relationship with their users as we could see an adoption of personal agents going forward.
“we are investing in these agents, and we are investing in these AI tools, and we're seeing kind of the interaction directly with our agents be the first use case. That's a magical use case. And I talked about this earlier in the call, like 3/4 of the time, for example, the Mobility, we're guessing, we can anticipate where you're going to go. So it's just kind of a one-push button, our agent knows, "Hey, Balaji, time to go home, right, for you."”
— Dara Khosrowshahi, UBER earnings call - T3Q&A· CEO· Product-embedded AIMaybe building on Doug's question, I wanted to go a little bit deeper in what you see as some of the critical technology investments you're making on the consumer-facing side to tie all of these services together and layer in elements of personalization and recommendation
“Cart Assistant, you can just take a picture of something that you see on a table or in a store or on a menu, and we'll create a shopping cart for you. Our earners can ask our AI agents questions about earnings, where they should go, when they should work, et cetera, and you can get the exact personalized answers for you. And then we're using larger models to essentially upsell and offer products for you in a very, very personalized way.”
— Dara Khosrowshahi, UBER earnings callCart Assistant - T3Q&A· CFO· Internal useStarting with AI spending, where you already bumped up on your original full year budget not long after the first quarter ended.
“candidly, when we set up budgets for 2026 in November, we underestimated the amount of impact the AI tools could have. And obviously, in December, we had new models come in. So we've re-upped our investment here. And as Dara said, we are trading that off against incremental headcount growth, which we noted in the remarks as well.”
— Balaji Krishnamurthy, UBER earnings call - T3Q&A· CEO· Internal useStarting with AI spending, where you already bumped up on your original full year budget not long after the first quarter ended. When thinking about how you're approaching layering AI capabilities into workflows, are you viewing them as more supplementing or replacing existing processes
“our investment in AI tools and infrastructure is increasing. That will be offset by slower headcount growth. But if every person in this company can increase their throughput by 20%, 30%, 50%, 100% then I think metering headcount growth and leaning in on AI investment is going to be well worth it.”
— Dara Khosrowshahi, UBER earnings call - T2Q&A· CEO· Product-embedded AIMaybe building on Doug's question, I wanted to go a little bit deeper in what you see as some of the critical technology investments you're making on the consumer-facing side to tie all of these services together and layer in elements of personalization and recommendation, so increasingly, consumers know how to find these services on your platforms. And how much over time do you think some of that behavior will be more agentic driven?
“AI solves all that because essentially, the way that any user wants to interact with your services is up to that user. They can talk and they can ask for whatever they want, "Hey, search for hotels for me, get me an Uber to the airport, get me an Uber from the airport to the hotel, et cetera." And the UI is whatever the user wants that UI to be. That creates unique opportunities for us to build out new services on our platform, and we think also affords us the ability to drive cross-platform usage”
— Dara Khosrowshahi, UBER earnings call - T2Q&A· CEO· Internal useStarting with AI spending, where you already bumped up on your original full year budget not long after the first quarter ended. When thinking about how you're approaching layering AI capabilities into workflows, are you viewing them as more supplementing or replacing existing processes
“we have been using AI tools, whether it's for pricing or matching or routing for years and years. We're kind of very comfortable in the real world, which is a probabilistic world versus a deterministic world. So using these AI tools and building with these AI tools, it's just kind of how we build and how we build for many, many years. So we're seeing uptake of these tools, whether it's our legal team or marketing team or developers and we think it's creating kind of employees with superpowers.”
— Dara Khosrowshahi, UBER earnings call - T2Q&A· CEO· Infrastructure buildsome real progress with partners during the quarter. What's kind of putting you over the top with like Zoox and others getting those deals done?
“we're very, very happy about what's going on there. Our Mobility business accelerated versus last quarter. Our U.S. Mobility business actually accelerated more than the overall business, and we talked about the anticipation that U.S. Mobility is going to continue to accelerate for the balance of the year. So at this point, we don't see any effect of the Waymo launches on our overall business.”
— Dara Khosrowshahi, UBER earnings callWaymo, Zoox, Nuro, NVIDIA, Pony, WeRide, Baidu, Lucid - T2Q&A· CEO· Infrastructure buildthe Santander deal announcement yesterday was interesting around financing. It looks like there's line of sight to financing AV fleets in the future as well.
“in order for AV to scale and get into the hundreds of millions in terms of trip count, we really have to build out a whole ecosystem around the development of these AV drivers. And that ecosystem includes fleet management, it includes depots and charging and repair and cleaning. It includes financing. It includes insurance as well.”
— Dara Khosrowshahi, UBER earnings callSantander, Hertz, Marsh, ApolloUber Autonomous Solutions - T2Q&A· CEO· Product-embedded AII wanted to talk about an inbound question we're getting from investors a lot, and that's a greater risk to marketplaces direct relationship with their users as we could see an adoption of personal agents going forward.
“we will build in APIs to whether it's an Apple or an OpenAI or a Claude or Gemini, we will work with these agents as well. But I think we'll continue to see that the majority of our transactions come direct.”
— Dara Khosrowshahi, UBER earnings callApple, OpenAI, Anthropic, Google - T2Q&A· CEO· Product-embedded AII wanted to talk about an inbound question we're getting from investors a lot, and that's a greater risk to marketplaces direct relationship with their users as we could see an adoption of personal agents going forward.
“we are working and talking to many of these third-party agents. We have a great market position. So we're able to kind of often dictate the terms of trade in those discussions.”
— Dara Khosrowshahi, UBER earnings callApple, OpenAI, Claude, Gemini - T1Q&A· CEO· Product-embedded AIAs we reach services in 15 cities by the end of this year, just would love to hear your thoughts on perhaps what are the bottlenecks or are there bottlenecks as we scale supply and demand really grows across these cities
“Questions about safety, about congestion, about the effect on work and drivers as well. These are all important questions and dialogues that we have to have, both in the AI space, in the digital AI space and the physical AI space as it relates to AVs as well.”
— Dara Khosrowshahi, UBER earnings call
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- No quantification of total AI tooling or infrastructure spend, despite acknowledging the 2026 budget was increased mid-year.
- No P&L or margin impact disclosed for AI productivity gains, despite citing code commit and lines-of-code increases.
- No revenue attribution to AI-powered features (e.g., Cart Assistant, destination prediction, personalized upsell).
- No disclosure of the incremental headcount reduction or offset resulting from AI investment trade-off.
- Analyst (Jefferies/Colantuoni) asked directly whether AI investments are supplementing or replacing existing processes; management gave directional color but no quantified split.
- No disclosure of specific AI vendor spend or contract terms (e.g., with OpenAI, Anthropic, Google, NVIDIA for software/model access).
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