For nearly nine years, Elon Musk has promised Tesla vehicles had the hardware needed to support a self-driving car. This week, he made his latest admission that many are not. Musk said on a conference call Wednesday evening that Tesla cars equipped with so-called Hardware 3 will need an upgrade before they can support unsupervised [β¦]
The automaker's CEO nodded to "The Boy Who Cried Wolf," joked about people shooting lasers out of their eyes like Superman, and said he wanted to "make manufacturing cool again."
Here are Musk's nine best quotes from the call:
"Some of these things I've said for quite a long time, and I know people have said, 'Well, Elon is the boy who cried wolf like several times.' But I'm telling you, there's a damn wolf this time, and you can drive it. In fact, it could drive you. It's a self-driving wolf." (Musk was joking about how he'd repeatedly pushed back the release of Full Self-Driving.)
"For a lot of people, they, like, their experience of Tesla autonomy is like β if it's even a year old, if it's even two years old β it's like meeting someone when they're like a toddler and thinking that they're going to be a toddler forever. But obviously they're not going be a toddler forever. They grow up. But if their last experience was like, 'Oh, FSD was a toddler.' It's like: 'Well, it's grown up now. Have you seen it? It's like, walks and talks.'"
"It's one of those things where I think long term, Optimus will be β Optimus has the potential to be north of $10 trillion in revenue, like it's really bananas. So, that, you can obviously afford a lot of training compute in that situation. In fact, even $500 billion training compute in that situation would be quite a good deal." (Musk was discussing how much it might cost to train Tesla's humanoid robots and how lucrative they could be for the company.)
"Now, with Optimus, there's a lot of uncertainty on the exact timing because it's not like a train arriving at the station for Optimus. And like, we're literally designing the train and the tracks and the station in real time."
"There is no company in the world that is as good at real-world AI as Tesla. I don't even know who's in second place. Like you say, like, who's in the second place for real-world AI? I would need a very big telescope to see them. That's how far behind they are."
"The Hollywood thing is like, it'slike some lone inventor in a garage goes 'Eureka!' and, suddenly, it files a patent and, suddenly, there's millions of units. I'm like, listen guys, we're missing really 99% of the story.
"Hollywood shows you the 1% inspiration but forgets about the 99% perspiration of actually figuring out how to make that initial prototype manufacturable and then manufactured at high volume such that the product is reliable, low cost, consistent, doesn't break down all the time, and that is 100 times harder at least than the prototype."
"Obviously, humans drive without shooting lasers out of their eyes β I mean, unless you're Superman." (Musk was explaining why he doesn't believe LiDAR is the best technology to enable autonomous driving.)
"Well, at Tesla, obviously, we think manufacturing is cool. SpaceX, we think manufacturing is cool. But in general, for talented Americans, they need to β beyond my companies, beyond me and my teams here, in general, we need to make manufacturing cool again in America. And like, I honestly think people should move from like law and finance into manufacturing. That's my honest opinion. We have too many β this is both a compliment and a criticism. We have too much talent in law and finance in America, and there should be more of that talent in manufacturing."
"But yeah, we're in this perverse situation where people will turn the car off autopilot so the computer doesn't yell at them, check their text messages while steering the car with their knee and not looking out the window." (Musk was discussing how Tesla's autopilot warns drivers not to look at their devices for safety, leading some to enable manual driving and then check their texts and emails.)
There's a computer to train the models to understand the world, the computer running simulations that allow these models to practice encountering important but unlikely scenarios, and a computer inside the car itself.
Nvidia has strategically embedded itself in all three key steps that could make every car a self-driving car.
While segment leaders like Waymo and Tesla launch robotaxi fleets and enable drivers to scroll on X while their cars drive them to work, Nvidia approaches the market as an enabler β not a consumer brand.
The chip-design company is building upon a suite of functionalities that already power your car's advanced driver-assist systems, such as automatic lane keeping and adaptive cruise control.
With its long list of heavy-hitting automotive clients, including Toyota, Uber, and Hyundai among others, Nvidia is positioning itself to be the self-driving tech supplier to the automotive industry. To Huang, all these players are headed in the same direction.
"Every single car company will have to be autonomous, or you're not going to be a car company," Huang said at a fireside chat for financial analysts at this year's Consumer Electronic Show.
Huang made autonomous vehicle technology a centerpiece of his CES keynote speech, announcing confidently that self-driving cars aren't coming β they're already here.
"With Waymo's success and Tesla's success, it is very, very clear autonomous vehicles have finally arrived," said Huang onstage.
Self-driving stops and starts
Despite the recent preponderance of driverless Waymo rides, self-driving technology has been in limbo across the auto industryas carmakers cut costs and focus investments on more near-term technology like electric vehicles.
Many traditional carmakers are rethinking expensive autonomous technology development after decades of piecemeal progress and no clear path to profitability β ceding ground to tech-first players.
Who will win the chip war that lives inside the dashboards of most cars remains an open question. But after CES, analysts are much closer to calling the race.
Today's cars are chock-full of chips. Most are far less complicated than the kind needed to offload driving tasks to the computer. Nvidia's competition includes other automotive chip giants like Qualcomm and Israel's Mobileye, which develops microchips and other technologies for the automotive industry.
As AI converges with increased adoption of self-driving technology, Nvidia now appears to be taking the lead, according to Martin French, managing director at automotive consultancy Berylls.
Toyota, the world's largest automaker, will use Nvidia's Orin chips and automotive operating system to power its next generation of driver-assist features, Huang announced.
Orin is Nvidia's solution for putting the computing power and intelligence of AI inside a car. The system debuted in 2019 and has developed into a more all-encompassing solution over time.
Mercedez Benz, China's BYD, and many luxury EV makers have also adopted Orin.
Most of these are not fully self-driving, but the long road between cruise control and realizing the dream of sleeping in the back seat while a car drives itself will have many stops along the way.
Winning Toyota's business is a big deal. McKinsey estimates that the assisted and autonomous driving market could be worth $400 billion by 2035. Nvidia forecasts a $5 billion run rate for its automotive business in fiscal year 2025, a five-fold increase in the company's automotive business from 2023.
Nvidia is also joining forces with trucking startup Aurora Innovation and automotive supplier Continental to deploy self-driving trucks β an announcement that sent Aurora's stock soaring 35% last week.
Beyond the data center
Tesla's self-driving technology, which Huang frequently lauds, is trained on Nvidia GPUs. However, the chips that make Tesla's full-self-driving run are designed in-house and manufactured by Samsung.
As far back as 2019, Tesla and Nvidia shared an understanding of the importance of accelerated computing. But they've been on-and-off partners. Today the partnership is very much on, with Huang and Musk regularly trading praise.
Cementing relationships with Toyota, Tesla, and Aurora puts Nvidia in a good position to be the primary supplier of self-driving technology to the automotive industry.
Few companies can provide chips for cars and also the chips to train the AI needed for self-driving capabilities.
Despite a two-hour CES keynote presentation spanning humanoid robots to AI laptops, Philips Capital analysts called Nvidia's automotive offering the "most significant" revelation at the tentpole event. Averaging less than 2% of total revenue in the first three quarters of 2024, Nvidia's automotive business still pales in comparison to its data center business.
On the company's February 2024 earnings call, CFO Colette Kress said $1 billion of the firm's data center revenue, which is reported separately from the automotive chip business, was attributable to automotive customers.
"They are absolutely positioning themselves as the leader for autonomous technologies, period," French said.
'A shot in the arm' for self-driving
In recent years, major car companies have abandoned their expensive self-driving car projects to focus on electric vehicles.
Ford and Volkswagen pulled funding from now-defunct self-driving startup ArgoAI in 2022, while GM said at the end of 2024 it would end its Cruise division's robotaxi development.
"We've had a lot of bad news around self-driving tech in the past few years β it's been quite downbeat," said French. "Nvidia has reversed that and just gave autonomous driving an absolute shot in the arm."
Investors were growing impatient with the drag on car companies' profits and lacked faith in legacy automakers' ability to develop software, French said. What it took to get investors back on board with self-driving tech was to hear it from a tech company.
"For Jensen β one of the leading people in tech β to get up onstage and tell everyone autonomous driving is here and robotics are just around the corner holds a lot of weight with investors," French said.
Huang is well-known for having an appetite for market-making β frequently saying he looks for "zero-billion-dollar markets" to simultaneously create and conquer. The AV market could still yet be won by one company, according to French.
In a complex regulatory environment, the automotive industry often strives to find a single standard to follow on new tech. That usually creates a period of stiff competition as companies vie to develop the winning technology.
Take electric vehicle charging, for example.
For years, the industry couldn't agree on a single charger type, leading to mismatched plugs and ports for EV drivers searching for juice. But in 2023, the industry finally coalesced around the North American Charging Standard chargers used by Tesla.
Since AI has closed the technological space between self-driving cars and robotics the entire auto industry is about to find out what it's like to be part of Nvidia's next zero-billion dollar market.