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Waymo driving itself video
WHO HAS
THE WHEEL?
A Waymo drives itself (Mario Tama/Getty Images)

It’s Tesla vs. Google in the fight for self-driving supremacy. Trillions are at stake.

Two of the biggest companies on the planet are finally slamming the accelerator as they try to capture a potentially humongous market. But will it eventually turn into a race to the bottom?

If you want to see big numbers, look at analysts’ estimates for the total addressable market for self-driving taxis.

Depending on the parameters of the market or the whimsy of the analyst, they expect robotaxis to bring in anywhere from tens of billions to trillions in annual revenue by the end of the decade. Yes, this decade.

To put that in perspective, Ubers revenue since 2016, in total, is about $179 billion.

The promises are huge: autonomous taxis will be so much safer than human drivers that traffic deaths will plummet. Robotaxis will make transportation so cheap, it could upend everything from car ownership to the land on which we formerly parked our cars. Rather than depreciating money pits, cars with robot drivers would become income-generating assets for their owners.

The future of autonomous driving has been a hot conversation for years, and it has long felt far off — Google first unveiled its self-driving car unit in 2010 and named it Waymo in 2016 — but even skeptics can’t deny that things are finally happening at a rapid clip in the industry.

It’s most apparent in the fight for autonomous driving supremacy that’s heating up between Google and Tesla. The two Silicon Valley tech giants — members of the Magnificent 7 and among the biggest, richest companies on Earth — have been trading more and more punches on self-driving lately.

In the past two weeks, Waymo said it has expanded its coverage area to include freeways and announced plans to move into many more cities. It also said it now has more than 2,500 vehicles in operation. Tesla CEO Elon Musk congratulated Waymo on the expansion, but also took a dig at its fleet size, saying they were “rookie numbers.”

At stake in the fight: many billions, and perhaps even trillions, of dollars, whether in revenue or stock market value.

So, who’s winning? Let us break it down for you.

Google’s Waymo currently operates its vehicles publicly in five American cities, with plans to more than quadruple that and spread across the Atlantic. Tesla finally launched its long-awaited Robotaxi service over the summer and has now promised to make it available in 8 to 10 cities by year-end.

Waymo’s cars have driven more than 100 million autonomous miles and completed more than 10 million paid trips as of this spring.

Tesla customers have used its supervised Full Self-Driving software to drive 6.5 billion miles. That’s, of course, not apples to apples because everyday drivers are in the seat watching over their Teslas as they roam. But we’ll get to why it’s important in a moment.

Tesla’s Austin ride-sharing service launched in March and included roughly 30 cars at last count. With a safety monitor in the passenger seat, the service has crossed 250,000 miles. The company also has a more typical ride-hailing service in the Bay Area, in which a driver uses supervised FSD tech. That service recently completed 1 million miles. Musk has named five cities for expansion: Miami, Houston, Dallas, Phoenix and Las Vegas. He’s also said the company would start eliminating safety monitors in Austin by year-end, when 1,500 vehicles would be in service across Austin and the Bay Area.

“ The approaches that theyre taking are very different,” Harry Campbell, founder of The Driverless Digest newsletter, told Sherwood News.

For now, though, he says it’s not really a competition, since Waymo is operating hundreds of thousands of paid autonomous trips per week, whereas Tesla is not truly autonomous because it’s using safety monitors.

“Tesla is coming with a bottom-up approach, and the big question mark in their business model when it comes to self-driving vehicles is if, or when, the technology will work,” Campbell said. “ Thats when I think things will really heat up and could be scary for Waymo. Because Tesla has so many vehicles already on the road.”

Teslas parked at a dealership
An aerial view of a Tesla dealership earlier this year (Katherine KY Cheng/Getty Images)

Musk has repeatedly said Tesla’s strength is in its existing fleet, which he says could be easily turned into self-driving robotaxis.

“There are millions of cars out there that, with a software update, become Full Self-Driving cars,” Musk said on the company’s recent earnings call.

Still, he might be minimizing the difficulty of scaling up.

As Phil Koopman, an autonomous vehicle expert and associate professor of electrical and computer engineering at Carnegie Mellon University, recently put it: “One way to look at scaling robotaxis (and robotrucks) is that for every factor of ten growth in fleet size, one should expect a fresh batch of challenges to graduate from quirks to problems.”

Here’s what we know about how the companies stack up:

Note: When talking about Tesla’s Robotaxi service for this analysis, we cited its Austin service only, since it has nobody in the driver’s seat. Tesla didn’t respond to requests for comment, so we went with figures Tesla has disclosed, analysts’ estimates, and our own best estimates based on available information.

Will this eventually become a race to the bottom?

One thing we don’t know yet is how the two companies’ services will compare on pricing once their offerings are mature — something that will ultimately matter a lot more for success than it does now.

“Pricing is the most important thing a ride-sharing company does besides managing supply,” Ashwini Anburajan, CEO of ride-share comparison app Obi, told Sherwood. “It is absolutely critical to everyones business, and margins are won by the difference of a dollar.”

“It’s a commodity,” she added.

But for now, autonomous rides still have a coolness factor that consumers are willing to pay more for.

Obi data has found that in San Francisco, Waymos cost notably more than Ubers and Lyfts, and passengers are willing to pay a premium for the novelty of riding with a robot instead of a human driver.

Obi doesn’t yet have enough data on Tesla to include it in the mix. Tesla’s pricing still seems very much in flux: it launched its Austin service with a flat rate of a jokey $4.20, then upped it to a jokier $6.90, and now has dynamic pricing.

Belgian politician exiting a Waymo
A Belgian politician exits a Waymo car before a self-driving technology meeting earlier this year (Benoit Doppagne/Getty Images)

If and when autonomous cars become ubiquitous, Waymo and Tesla likely won’t be able to charge a premium anymore. Just like the human-driving ride-hailing that really took off in the mid-2010s, Tesla and Waymo could chase lower prices and wind up in a race to the bottom.

Of course, winning a robotaxi war likely isn’t the endgame for Tesla and Waymo. The services could be a proof of concept or advertising. Google already has numerous partnerships with vehicle manufacturers and other autonomous tech companies; it will likely want to sell the Waymo driving tech to others and let them do the dirty work of operating a robotaxi service.

The same goes for Tesla, which would probably prefer to keep the liability for its cars on outside fleet operators or individual owners.

But before autonomous taxi services can truly reach critical mass, the companies still have to convincingly prove one thing to the world: that autonomous driving truly works.

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More AI startups are reportedly turning to free Chinese AI models

The biggest tech companies in the world, like OpenAI, Google, and Meta, are racing to build dozens of gigawatts of AI computing infrastructure to meet what they say is incredibly high demand.

But free, open-weight Chinese AI models like DeepSeek and Qwen have been rapidly catching up to the leading frontier models.

According to a report from NBC News, more AI startups are deciding that these Chinese models might be cheap enough and good enough to pass on the state-of-the-art offerings from OpenAI, Meta, and Google. This, of course, would be very bad news for the AI capex orgy that is currently consuming the tech sector.

As the huge, all-purpose models try to do it all, startups are taking advantage of these open-weight models, which can be distilled and customized for specific applications, and usually for a much lower cost.

According to a report from NBC News, more AI startups are deciding that these Chinese models might be cheap enough and good enough to pass on the state-of-the-art offerings from OpenAI, Meta, and Google. This, of course, would be very bad news for the AI capex orgy that is currently consuming the tech sector.

As the huge, all-purpose models try to do it all, startups are taking advantage of these open-weight models, which can be distilled and customized for specific applications, and usually for a much lower cost.

tech

“The Big Short” investor calls Tesla “ridiculously overvalued”

“The Big Short” investor Michael Burry says Tesla’s market cap has been “ridiculously overvalued” for “a good long time.” In his latest Substack post, he criticized what he calls the “tragic algebra” of stock-based compensation, arguing that companies like Tesla understate their true economic cost because, though stock-based comp is a noncash expense under GAAP, it still dilutes shareholders.

Burry wrote that CEO Elon Musk’s compensation package — which could reach $1 trillion — ensures that “dilution is certain to continue.” He estimated Tesla’s share count will expand by roughly 3.6% per year without buybacks — far higher than Amazon’s 1.3% and more comparable to Palantir’s 4.6%. In his view, failing to account for this compounding leaves investors with an overly generous picture of long-term profitability.

Tesla didn’t immediately respond to a request for comment.

Burry wrote that CEO Elon Musk’s compensation package — which could reach $1 trillion — ensures that “dilution is certain to continue.” He estimated Tesla’s share count will expand by roughly 3.6% per year without buybacks — far higher than Amazon’s 1.3% and more comparable to Palantir’s 4.6%. In his view, failing to account for this compounding leaves investors with an overly generous picture of long-term profitability.

Tesla didn’t immediately respond to a request for comment.

tech

Amazon AWS due to roll out its own updated AI models this week

This week in Las Vegas, Amazon AWS is sure to make some news at its re:Invent developer conference.

AWS is the current undisputed cloud computing leader, serving up AI computing services for many of the top players, but most importantly enterprise darling Anthropic.

Last quarter, Amazon reported that AWS revenue grew 20% year on year and it had a $200 billion backlog of contracted business it was racing to fulfill.

But AWS has greater ambitions than being just a cloud provider. Looking toward efficiency and lower costs, AWS has been developing its own AI models, named Nova. The Information reports that this week will see a significant update to Nova, which was described in the report as the company’s first real “all-in-one” multimodal model.

Last quarter, Amazon reported that AWS revenue grew 20% year on year and it had a $200 billion backlog of contracted business it was racing to fulfill.

But AWS has greater ambitions than being just a cloud provider. Looking toward efficiency and lower costs, AWS has been developing its own AI models, named Nova. The Information reports that this week will see a significant update to Nova, which was described in the report as the company’s first real “all-in-one” multimodal model.

tech

Tesla sold more cars in Norway this year than any automaker ever as buyers get ahead of tax hike


Norway is proving to be a rare bright spot in Europe, Tesla’sweakest market,” with the EV company setting an annual car sales record in the country, Reuters reports. Tesla sales jumped 175% in Norway in November compared to the same month a year earlier, selling more than 6,000 new cars there as customers race to get ahead of what’s effectively a tax hike on EVs when the country rolls back subsidies.

That brings its year-to-date total sales to a record of 28,606 cars — higher than the previous record set by Volkswagen in 2016 — with a month to spare. Last month, fully electric vehicles made up 97.6% of all new cars sold in Norway.

Meanwhile, Tesla sales continue to languish across much of the rest of Europe. Early figures show double-digit declines in France, Sweden, and Denmark in November. Sales in Spain fell nearly 9% last month. Data from October saw sales halve in both the UK and Germany. Europe is Tesla’s third-biggest market after the US and China.

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Jon Keegan

WSJ: Anduril’s weapons systems have failed during several tests

Autonomous drones by sea, land, and air. Futuristic AI-powered support fighter jets, and swarms of networked drones controlled by sophisticated software. These are some of the visions for the future of warfare pitched by defense tech startup Anduril. Cofounded by Oculus founder Palmer Luckey, the Peter Thiel-backed startup has landed some major national security contracts based on this futuristic outlook for battlefield AI.

But according to a report from The Wall Street Journal, the company’s tech is failing key tests in the real world, raising concerns about the viability and safety of Anduril’s systems within the military command.

Anduril’s Altius drones proved vulnerable to Russian jamming while deployed in Ukraine and have been pulled from the battlefield, per the report.

More than a dozen sea-based drone ships powered by Anduril’s Lattice command and control software recently shut down during a Navy test, creating a hazard for other vessels in the exercise.

And this summer, during a drone intercept test, Anduril’s counter-drone system crashed and caused a 22-acre fire at a California airport, the report found.

Anduril told the WSJ that the failures are just part of its rapid iterative development process:

“We recognize that our highly iterative model of technology development — moving fast, testing constantly, failing often, refining our work, and doing it all over again — can make the job of our critics easier. That is a risk we accept. We do fail… a lot.”

But according to a report from The Wall Street Journal, the company’s tech is failing key tests in the real world, raising concerns about the viability and safety of Anduril’s systems within the military command.

Anduril’s Altius drones proved vulnerable to Russian jamming while deployed in Ukraine and have been pulled from the battlefield, per the report.

More than a dozen sea-based drone ships powered by Anduril’s Lattice command and control software recently shut down during a Navy test, creating a hazard for other vessels in the exercise.

And this summer, during a drone intercept test, Anduril’s counter-drone system crashed and caused a 22-acre fire at a California airport, the report found.

Anduril told the WSJ that the failures are just part of its rapid iterative development process:

“We recognize that our highly iterative model of technology development — moving fast, testing constantly, failing often, refining our work, and doing it all over again — can make the job of our critics easier. That is a risk we accept. We do fail… a lot.”

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