Waymo reports 250,000 paid robotaxi rides per week in U.S.
A Waymo rider-only robotaxi is seen during a test ride in San Francisco, California, U.S., December 9, 2022.
Paresh Dave | Reuters
Alphabet reported Thursday that Waymo, its autonomous vehicle unit, is now delivering more than 250,000 paid robotaxi rides per week in the U.S.
CEO Sundar Pichai said Waymo has options in terms of “business models across geographies,” and the robotaxi company is building partnerships with ride-hailing app Uber, automakers and operations and maintenance businesses that tend to its vehicle fleets.
“We can’t possibly do it all ourselves,” said Pichai on a call with analysts for Alphabet’s first-quarter earnings.
Pichai noted that Waymo has not entirely defined its long-term business model, and there is “future optionality around personal ownership” of vehicles equipped with Waymo’s self-driving technology. The company is also exploring the ways it can scale up its operations, he said.
The 250,000 paid rides per week are up from 200,000 in February, before Waymo opened in Austin and expanded in the San Francisco Bay Area in March.
Waymo, which is part of Alphabet’s Other Bets segment, is already running its commercial, driverless ride-hailing services in the San Francisco, Los Angeles, Phoenix and Austin regions.
Earlier this month, Waymo and its partner Uber, began allowing interested riders to sign up to try the robotaxi service in Atlanta when it opens this summer.
The early pioneer in self-driving technology, Waymo has managed to beat Elon Musk-led Tesla and a myriad of now-defunct autonomous vehicle startups to the U.S. market.
Tesla is promising that it will be able to turn its Model Y SUVs into robotaxis by the end of June for a driverless ride-hailing service it plans to launch in Austin.
After about a decade of promises and missed deadlines, Tesla still does not offer a vehicle that’s safe to use without a human at the wheel ready to steer or brake at all times.
Musk criticized Waymo’s approach to driverless tech on his company’s first-quarter earnings call on Tuesday. Musk said Waymo autonomous vehicles are “very expensive” and made in only “low volume.” Tesla’s partially automated driving systems rely mostly on cameras to navigate, while Waymo’s driverless systems rely on lidar technology, other sensors and cameras.
Would-be competitors to Waymo also include Amazon-owned Zoox, Mobileye, May Mobility and international autonomous vehicle companies such as WeRide and Baidu’s Apollo Go.
WATCH: Tesla vs. Waymo: Musk casts doubt on Google’s robotaxi strategy
Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.
Stefani Reynolds | Bloomberg | Getty Images
In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.
During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.
“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”
In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.
Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.
Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.
First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.
Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.
Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.
In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.
“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”
Reversing the slide
In its earnings release, Nvidia reported revenue and profit that sailed past estimates and issued better-than-expected guidance. Last month, Huang provided a $500 billion forecast for sales of the company’s AI chips over calendar 2025 and 2026.
The company said on Wednesday that its order backlog didn’t even include a few recent deals, like an agreement with Anthropic that was announced this week or the expansion of a deal with Saudi Arabia.
“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.
Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.
Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.
“Our customers’ financing is up to them,” Huang said.
Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.
Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.
Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.
People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”
WATCH: Nvidia posts Q3 beat
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