TechCrunch Mobility: Uber enters its assetmaxxing era
Summary
Uber has committed over $10 billion to the autonomous vehicle sector, with $2.5 billion in direct investments and $7.5 billion allocated for purchasing robotaxis in the coming years. This marks a new "asset-heavy" era for Uber, shifting from in-house technology development to acquiring physical assets from other companies like WeRide, Lucid, Nuro, Rivian, and Wayve. This strategy contrasts with its previous moonshot spree between 2015-2018, which included Uber Elevate and Uber ATG, both later divested while retaining equity stakes. The article also highlights other significant mobility news, including Eclipse's new $1.3 billion fund for physical AI startups, Slate's $650 million Series C for affordable EV trucks, and Glydways' $170 million Series C for autonomous pods. Additionally, Ford's EV chief Doug Field is departing, and Waymo is expanding robotaxi testing in London and removing waitlists in Miami and Orlando.
Key takeaway
For investors tracking the mobility sector, Uber's $10 billion commitment to external autonomous vehicle fleets signals a strategic shift towards asset ownership rather than in-house development. This move could impact Uber's balance sheet and operational model, suggesting a potential for increased capital expenditure. You should monitor how this strategy influences Uber's market position and profitability compared to its previous asset-light approach.
Key insights
Uber is re-entering an asset-heavy phase by investing heavily in external autonomous vehicle fleets.
Principles
- Retain equity stakes in divested ventures.
- Focus on asset ownership over in-house R&D.
In practice
- Invest in external AV companies for fleet acquisition.
- Explore second-life battery packs for energy storage.
Topics
- Uber Investment Strategy
- Autonomous Vehicle Technology
- Robotaxi Fleets
- Electric Vehicle Startups
- Venture Capital Funding
Best for: Investor, Entrepreneur, Executive
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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.