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Self Driving Taxi Company Waymo Voluntarily Issues Software Recall Over Cars Not Stopping For School Buses
A Waymo robotaxi in a side-view mirror in San Francisco, California (Justin Sullivan/Getty Images)

Tesla’s Robotaxi is way cheaper than Uber, Lyft, or Waymo — but you’ll have to wait a lot longer for one

New data from ride-share comparison app Obi shows how much cheaper and less available Tesla’s autonomous ride-share service is.

Rani Molla

The average price of a Tesla Robotaxi ride in the San Francisco Bay Area late last year was $8.17 — about half the cost of comparable routes with Lyft, Uber, or Google’s driverless Waymo, according to new data from ride-share comparison app Obi.

However, wait times for Tesla’s Robotaxis, which operate in the Bay Area with a driver, are roughly 3x to 5x longer than those of competing services. Tesla customers wait an average of nearly 16 minutes for their cheaper ride, compared to about three to six minutes for other services.

For this study, Obi analyzed more than 94,000 simulated ride requests from November and December across the four companies, using technical tools including APIs. The data came from a local database and includes hourly information on ride requests, prices, and estimated arrival times.

As was the case with Uber and Lyft in their early days, Tesla’s low prices appear aimed more at attracting customers than turning a profit. Robotaxi prices initially launched at an intentionally provocative $4.20 and rose to the equally tongue-in-cheek $6.90 before transitioning to industry-standard dynamic pricing. CEO Elon Musk has said Robotaxi rides would eventually cost about as much as a bus ticket.

 “Its a way to gather more data, and get more individuals in the cars and familiar with the brand,” Obi CEO Ashwini Anburajan told Sherwood News. “Theyre positioning themselves as a low-cost option in the market.”

Pricing is also central to Tesla’s broader narrative. By relying solely on cameras instead of costly lidar sensors used by competitors like Waymo, Tesla can afford to charge less.

While it remains unclear what Tesla Robotaxi rides will ultimately cost once the business matures, low prices are a powerful way to attract customers. Obi also surveyed consumers in markets where autonomous vehicles are available and found that pricing was their top pain point, with 45% calling it a major ride-share issue in 2026. That said, the next biggest problem was wait times, cited by 34% of respondents and an area where Tesla lags its rivals.

Tesla’s long wait times stem largely from its small fleet, which has ramped up far more slowly than the company promised. During the study period, just over 100 Tesla Robotaxis were in service in the Bay Area; today that number is closer to 170 — well short of Musk’s most recent promise to deploy 1,000 vehicles in the region by the end of 2025.

“Its not something that they can sustain if they want to be in the market competitively,” Anburajan said. “Ride-share is an impatient industry with consumers — wait times matter significantly.”

Waymo’s wait times outside peak demand have fallen since Obi first conducted its ride-share pricing and ETA study last spring, and are now often comparable to Uber and Lyft.

At the same time, the 30% to 40% price premium Waymo once commanded over traditional ride-hailers has narrowed significantly, nearly disappearing for longer trips. That shift reflects both Waymo lowering prices and Uber and Lyft raising theirs, per the report.

Competition in the Bay Area has also grown in that time.

Tesla expanded its service there in July, and Amazon’s Zoox entered the market in November, offering a free, limited-destination service to the public. Uber and Lucid have also begun testing their own robotaxi service, which is expected to become publicly available later this year.

The data points to a familiar trade-off in ride-hailing: riders care deeply about price, but only up to a point. Cheaper fares can lure customers in, but long wait times quickly erode that advantage. As competition intensifies across both autonomous and traditional services, success may hinge less on undercutting rivals and more on delivering a ride that’s both affordable and timely.

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$600B

Amazon CEO Andy Jassy told employees at an all-hands meeting on Tuesday that he sees AI growing AWS sales to $600 billion a year by 2036 — double his prior estimate and more than four times last year’s revenue, Reuters reports.

Shares of Amazon, which were already up for the day, moved modestly higher on the heels of the report.

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OpenAI snags Amazon AWS deal for classified government work with Anthropic pushed aside

Following Anthropic being deemed a “supply chain risk” to national security, the field is clear for OpenAI. The Information is reporting that OpenAI just landed a deal with Amazon AWS to sell its AI services to government employees for both classified and unclassified work.

Previously, OpenAI was contractually obliged to use Microsoft Azure cloud hosting for the government contracts it handled as part of its $13 billion deal with the software giant, but since it restructured as a for-profit public benefit corporation and renegotiated the terms of the deal, OpenAI is free to use AWS, which is more commonly used in government work.

According to the report, contracts that sell AI services through another company like Amazon can be much larger then direct contracts with the government, which is crucial for OpenAI as it chases the success that Anthropic has had with enterprise customers.

Previously, OpenAI was contractually obliged to use Microsoft Azure cloud hosting for the government contracts it handled as part of its $13 billion deal with the software giant, but since it restructured as a for-profit public benefit corporation and renegotiated the terms of the deal, OpenAI is free to use AWS, which is more commonly used in government work.

According to the report, contracts that sell AI services through another company like Amazon can be much larger then direct contracts with the government, which is crucial for OpenAI as it chases the success that Anthropic has had with enterprise customers.

tech

Morgan Stanley thinks Tesla’s Terafab could cost an additional $35 billion to $45 billion in capex

Tesla’s Terafab project, which CEO Elon Musk said could launch this week, is poised to be one of the company’s most expensive bets yet. The facility is intended to manufacture the chips needed for Tesla’s autonomous vehicles and humanoid robots, and to avoid supply bottlenecks.

If the company reaches its long-term goal of producing 100 million humanoid robots annually, it could require more than 200 million chips a year — over 50x its current demand, Morgan Stanley said.

The firm estimates total capital expenditure for the facility could reach $35 billion to $45 billion, including construction costs and roughly $20 billion to $25 billion for wafer fabrication equipment alone. That spending is not included in Tesla’s already sizable $20 billion capex budget for this year. Morgan Stanley’s semiconductor analysts described the effort as a “Herculean task,” noting the difficulty of building leading-edge chip capabilities from scratch.

While Tesla would likely spread the investment out over several years — even on an aggressive timeline, initial output would likely not arrive until the latter part of the decade — the effort would still weigh heavily on free cash flow and mark a shift toward a more capital-intensive business model.

Tesla’s most expensive factory to date, its Nevada battery plant that it began building in 2014, is estimated to have cost about $10 billion over time — a fraction of the expected Terafab cost.

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Rani Molla

Lyft and Uber jump after announcing expanded robotaxi partnerships with Nvidia

Uber and Lyft both announced expanded AI and autonomous vehicle partnerships with Nvidia at the company’s GTC event, sending both ride-hailing stocks up after-hours on Monday and into Tuesday’s premarket session.

Uber is currently up more than 2%, while Lyft has risen around 1.3%.

Uber said Nvidia-powered Level 4 robotaxis will launch on its platform in Los Angeles and San Francisco in 2027, with plans to scale to 28 cities globally by 2028. Meanwhile, Lyft said it will use Nvidia’s AI infrastructure to improve ride-matching, mapping, and efficiency, while also using Nvidia’s DRIVE Hyperion platform as a foundation for future autonomous fleets.

Separately, Nvidia announced expanded autonomous driving partnerships with Kia and Hyundai.

The announcements highlight Nvidia’s growing push to provide the AI hardware and software powering next-generation robotaxi networks — packaging the technology needed for self-driving cars into a platform that other companies can use to compete with Tesla.

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