Published • loading... • Updated
Uber to Spend $100M on Robotaxi Fast-Charging Stations
Uber will build hundreds of fast-charging hubs to support robotaxi fleets, partnering with EVgo and others to guarantee charger utilization and improve fleet uptime.
- On Wednesday, Uber Technologies Inc. said it will invest more than $100 million to develop autonomous-vehicle charging hubs in the San Francisco Bay Area, Los Angeles and Dallas.
- Earlier this month, Uber backed a capital-intensive autonomous-vehicle strategy and said owning chargers lowers costs, improves efficiency, and keeps vehicles on the road longer, Uber said.
- Uber is striking utilization-guarantee deals with EVgo Inc., Electra, Hubber Ltd., and Ionity GmbH while building DC fast chargers at autonomous depots and pit stops, guaranteeing usage and potentially paying fines if targets aren’t met.
- These deals are expected to support the rollout of hundreds of new chargers and help justify more than 500,000 globally, amid share performance down 14% this year.
- This year, Uber plans to launch Lucid and Nuro robotaxis in the Bay Area and Volkswagen AG autonomous vans in Los Angeles, expecting AVs in at least 10 cities by end of 2026.
Insights by Ground AI
17 Articles
17 Articles
Uber will spend $100 million to build robotaxi charging stations
Uber Technologies Inc. is planning to spend more than US$100mil (RM391mil) to build fast-charging, autonomous-vehicle charging stations in the US, the latest move to establish itself as a critical player in the robotaxi industry.
·Malaysia
Read Full ArticleUber Putting $100 Million into EV Charging for Robotaxis - CleanTechnica
Support CleanTechnica's work through a Substack subscription or on Stripe. Or support our Kickstarter campaign! You may recall that Uber founder and CEO at the time Travis Kalanick said in 2015 that Uber would buy all of the robotaxis Tesla could produce by 2020, estimated to be 500,000 at the ...
Coverage Details
Total News Sources17
Leaning Left4Leaning Right3Center3Last UpdatedBias Distribution40% Left
Bias Distribution
- 40% of the sources lean Left
40% Left
L 40%
C 30%
R 30%
Factuality
To view factuality data please Upgrade to Premium














