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Self driving taxi car in Downtown San Francisco
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As the race for autonomy heats up, data shows Google’s Waymo costs more than Uber and Lyft

It’s another nail in the millennial lifestyle subsidy coffin.

Rani Molla

New data from ride-share comparison app Obi reported by TechCrunch puts data to what many riders in San Francisco already knew: Google’s driverless Waymo is more expensive than driver-having Lyft and Uber.

Waymo’s average price for comparable rides was $6 more than Lyft and $5 more than Uber (41% and 31% more, respectively), the report found. During peak hours, Waymo’s average price was about $11 more than Lyft and $9.50 more than Uber. People are apparently willing to pay for the novelty. Obi’s chief revenue officer told TechCrunch that the difference is people’s excitement about the technology and a “real preference to sometimes be in the car without a driver.”

Waymo, which currently operates in San Francisco (and Silicon Valley), LA, and Austin, is booking more than a quarter of a million paid rides per week. That, of course, is a lot more than Tesla, which says it doesn’t have any competition in the autonomous ride-hailing space but is slated to offer its first paid robotaxi ride in Austin this month. It’s also a lot less than Uber, which operates overwhelmingly with human drivers in markets around the world and does about 33 million trips a day, or about 230 million trips per week.

Waymo vehicles are equipped with numerous expensive sensors and can cost roughly $200,000, enough to buy five or six regular cars. As of May, there were just 1,500 Waymos operating in all its markets.

A recent estimate gives Waymo, which launched commercially in San Francisco just two years ago, a whopping 27% of the city’s ride-share market, but that data includes only rides that start and end in places Waymo operates, so in reality it’s lower.

Waymo does still seem to be a bit of a novelty, popular among tourists, and can be impractical. Geofenced Waymos there drive only within the San Francisco Peninsula, meaning it won’t take you to Oakland or the airport. They also avoid highways and other certain areas.

Everyday traffic incidents that are easy for humans to navigate can prove tricky to autonomous cars. An Uber driver I spoke with last week in San Francisco told me that the best time to take a Waymo is in the middle of the night, when no one else is driving.

Watchers of the industry may notice the Waymo pricing data is surprising given that one of the main selling points of driverless cars is that they diminish labor costs and, by extension, the cost of a ride.

Earlier in Uber and Lyft’s existence, customers could count on what was known as the “millennial lifestyle subsidy” to afford rides with them. Those companies, awash in venture capital, offered huge discounts to users in order to gain market share — a move that rendered them largely unprofitable but also decimated competitors like yellow taxis. But as the companies went public, and as Silicon Valley pivoted to an emphasis on profit in recent years, that discount has disappeared.

The true cost of a Waymo, for now, is more than that of an Uber or Lyft, both of which cost more than they used to.

The question is whether Waymo can get to scale without more subsidies — and if there’s room for more than one autonomous vehicle company in any market.

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Report: China’s “Manhattan Project” built an advanced EUV chip fab prototype

The most advanced chipmaking process in the world is currently owned by one company: Dutch chipmaker ASML.

The process, known as extreme ultraviolet lithography (EUV), allows for the smallest, most complex semiconductors to be etched onto silicon chips.

These advanced chips are used in a huge number of crucial industries such as AI, mobile phones, and weapons manufacturing.

A new report from Reuters says that China has completed a factory-sized prototype of an EUV chip fab, a first that could have huge ramifications for the balance of power in the global technology race.

The prototype was built in a high-security facility in Shenzhen by former ASML employees and made use of secondary markets to acquire older, used ASML parts, according to the report. Despite a goal of delivering working chips by 2028, sources say China is likely a couple years behind that schedule.

ASML’s $250 million EUV machines are used to manufacture advanced chips for Nvidia, Advanced Micro Devices, and for chips made by TSMC.

ASML shares were down about 4.8% as of 12 p.m. ET.

These advanced chips are used in a huge number of crucial industries such as AI, mobile phones, and weapons manufacturing.

A new report from Reuters says that China has completed a factory-sized prototype of an EUV chip fab, a first that could have huge ramifications for the balance of power in the global technology race.

The prototype was built in a high-security facility in Shenzhen by former ASML employees and made use of secondary markets to acquire older, used ASML parts, according to the report. Despite a goal of delivering working chips by 2028, sources say China is likely a couple years behind that schedule.

ASML’s $250 million EUV machines are used to manufacture advanced chips for Nvidia, Advanced Micro Devices, and for chips made by TSMC.

ASML shares were down about 4.8% as of 12 p.m. ET.

tech

Google is reportedly working with Meta to expand software support for its AI chips

Nvidia dominates the market for AI chips. But its advantage is not limited to hardware.

The company has a growing suite of software tools that are usually paired with its chips, optimized to get the most out of the GPUs crunching the data.

Any challengers to Nvidia’s dominance will need to make it easy for developers to walk away from the Nvidia software-hardware lock-in. That’s what Google and Meta are teaming up to do.

A new report from Reuters says Google is working on an initiative code-named “TorchTPU,” which aims to make it easier for AI developers who use the ubiquitous, open-source PyTorch software framework to switch the hardware layer to Google’s tensor processing units (TPUs).

Meta is a huge backer of the PyTorch project, so the company is teaming up with Google to help develop its TorchTPU software, per the report.

Last month, it was reported that Google is planning on selling TPUs worth “billions of dollars” to Meta, which follows other Big Tech players who are hedging their bets against Nvidia’s dominance.

Any challengers to Nvidia’s dominance will need to make it easy for developers to walk away from the Nvidia software-hardware lock-in. That’s what Google and Meta are teaming up to do.

A new report from Reuters says Google is working on an initiative code-named “TorchTPU,” which aims to make it easier for AI developers who use the ubiquitous, open-source PyTorch software framework to switch the hardware layer to Google’s tensor processing units (TPUs).

Meta is a huge backer of the PyTorch project, so the company is teaming up with Google to help develop its TorchTPU software, per the report.

Last month, it was reported that Google is planning on selling TPUs worth “billions of dollars” to Meta, which follows other Big Tech players who are hedging their bets against Nvidia’s dominance.

$100B

Waymo, Alphabet’s autonomous driving subsidiary, is in talks to raise more than $15 billion in a funding round that would value the company near $100 billion, Bloomberg reports. That’s more than double the valuation from its last round in October 2024, reflecting its lead in driverless ride-hailing.

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