Invest Like the Best with Patrick O'Shaughnessy
Invest Like the Best with Patrick O'Shaughnessy

Dara Khosrowshahi - Uber's Bet on AVs, AI, and Building a Super-App - [Invest Like the Best, EP.476]

My guest today is Dara Khosrowshahi, the CEO of Uber. Before Uber, Dara ran Expedia for thirteen years. We start with why he took this job in 2017, and a big part of that story is Daniel Ek, who told him that life is not about happiness, it is about impact. We talk about what the chaos felt like on

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Dara Khosrowshahi Guest

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Episode Summary

Executive Summary: Dara Khosrowshahi describes how he stabilized Uber after joining in 2017, emphasizing simplification, trust-building, and listening. The conversation centers on Uber’s future as an AI-native, supply-led platform that aggregates demand across mobility, delivery, travel, and autonomous vehicles, while balancing rapid innovation, public acceptance, and disciplined capital allocation.

Main Topics: Joining Uber and restoring order after chaos (Priority: 5/5): Khosrowshahi recounts how he came to Uber, the turmoil he inherited, and the step-by-step process of stabilizing the board, management team, and public trust. Personal philosophy, resilience, and family influence (Priority: 4/5): He explains how leaving Iran at age nine shaped his tolerance for stress, his engineering mindset, and his belief that challenges build character rather than happiness alone. AI adoption inside Uber (Priority: 5/5): Uber is using AI across engineering, legal, and marketing, with Khosrowshahi pushing teams to rebuild processes from first principles rather than merely optimizing existing workflows. Autonomous vehicles, drones, and physical AI (Priority: 5/5): The bulk of the discussion focuses on Uber’s AV strategy as a demand aggregator, partnerships with multiple AV players, infrastructure buildout, and the likely emergence of many winners rather than one. Supply-led growth and marketplace strategy (Priority: 4/5): Khosrowshahi argues Uber wins by securing supply first—drivers, merchants, couriers, and AV capacity—then letting demand follow, extending that logic into travel and new geographies. Membership, cross-platform bundling, and travel expansion (Priority: 4/5): Uber One, hotel bookings, trains, and Reserve are presented as ways to increase retention, deepen engagement, and make Uber a broader local and travel platform. Leadership lessons and capital allocation (Priority: 4/5): He highlights lessons from Barry Diller, Herbert Allen, and Reed Hastings, and frames capital allocation as prioritizing organic growth and future platforms before buybacks.

Key Arguments: Simplifying a complex business into component parts is the only way to restore control in chaos; board, team, stakeholders, and operating systems each require separate fixes. Stress management comes from perspective: having already lost everything as a child made present-day business turbulence feel manageable. Uber is increasingly an AI-native company because its core job is solving probabilistic real-world outcomes after a digital interaction. AI should be used not just to speed up processes by 20-30%, but to redesign workflows from the ground up. Uber’s competitive advantage is supply aggregation: if it secures drivers, merchants, couriers, and AV vehicles, demand will follow. AV markets will not have one winner; multiple platforms and OEMs will coexist, with Uber acting as the demand and infrastructure layer. Partnerships are better than pure vertical integration in many cases because Uber can increase utilization for AV partners while also building network effects for itself. Uber One works because members receive more value over time, even if the first year is less profitable; lifetime economics matter more than short-term margin. Capital should first fund organic growth, engineering, and AV ecosystem investments; buybacks are secondary when the platform still has major expansion opportunities. Great leaders get to ground truth by talking directly to the source, soliciting dissent, and preserving random, unstructured information flow inside large organizations.

Data Points: Drivers and couriers on platform: over 10 million - Khosrowshahi cites Uber’s global network scale when discussing impact and marketplace reach. Free cash flow: $10 billion+ - Used to describe Uber’s current financial strength and ability to invest while also doing buybacks. Trips per year: well over 10 billion - Frames Uber as a high-volume, low-margin business where efficiency matters. AI budget overrun: blew through the yearly budget in a quarter - Illustrates how quickly AI usage is scaling inside Uber. Code commit increase in India: 10x - Example of uneven but rapid AI adoption among developers using autonomous agents. AV partners: over 30 - Shows the breadth of Uber’s autonomous vehicle ecosystem partnerships. AV utilization uplift: 30%+ busier - AVs operating on Uber’s network are more utilized than 1P AVs outside the network. Uber One members: 50 million - Uber’s membership program scale. Uber One growth: 50% year over year - Indicates rapid expansion of the membership base. Eats bookings from mobility: 13% - Cross-selling between Uber Mobility and Uber Eats. Merchant coverage: 40-50% - Estimated share of addressable restaurants/merchants already signed up in cities where Uber operates. Reserve run rate: over $5 billion - Shows that Uber Reserve has become a meaningful product line. Hotel deal economics: 10% off hotels; 20% off 10,000 hotels - Illustrates how Uber uses member perks to drive travel adoption. Airport trips: 15% of trips - Used to justify travel-related expansion and hotel integration. Outside-home-city trips: 1.5 billion trips last year - Demonstrates the scale of travel use cases on Uber. AV vehicle price estimate: $60,000-$70,000 - Projected cost for Lucid/NeuRo AV hardware, implying lower transportation costs over time. Delivery batching rate: about 50% - Shows operational complexity for couriers and why real-world fulfillment is hard. Physical AI model scaling: 10,000x bigger - Khosrowshahi says feed and search models have grown dramatically compared with older versions.

Pivotal Quotes: "Since when is life about happiness? It’s about impact." — Daniel Ek (recounted by Dara Khosrowshahi): The catalyst that convinced Khosrowshahi to consider the Uber CEO role. "The most important how is simplifying the situation and breaking down what seems like an unassailable problem into its component parts." — Dara Khosrowshahi: His framework for stabilizing Uber after a chaotic leadership transition. "Supply. So we are a supply-led company." — Dara Khosrowshahi: His core answer on how Uber wins in mobility and AVs.

Implications: Uber is positioning itself as the operating layer for real-world AI and autonomous mobility. The industry may evolve toward many AV winners, but platforms that control supply, distribution, and utilization will likely capture the most value.

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