Apple and the End of the Car
Share Button

Apple and the End of the Car

As cars become computers with wheels, Apple is eyeing the $5 trillion auto market.

By Christopher Mims
Tue, May 25, 2021 5:55amGrey Clock 6 min

Now that the car is evolving into essentially a smartphone on wheels, it’s no wonder Apple is kicking the tyres.

First, there is the transition from internal combustion engines to electric motors, which have far fewer mechanical parts. Now, enabled by that change, a second shift is under way—one that’s a prerequisite for a self-driving future.

For a century, the automobile was a system of interoperating mechanics: engine, transmission, drive shaft, brakes, etc. As those mechanics evolved, electronic sensors and processors were brought in to assist them, but the concepts changed little. The result was cars with dozens or hundreds of specialized microchips that didn’t talk to each other. Now that auto makers are moving to electric motors, elaborate entertainment systems and adaptive cruise control, cars need central computers to control all these things—why not use them to control everything?

At the hardware level, this might just mean fewer chips handling more of a car’s functions. Yet it has profound implications for what future cars will be capable of, how car makers will make money, and who will survive—and thrive—in what could soon be a global automotive industry made unrecognizable to us today.

No one inside Apple is saying exactly what its plans are, but the company has been contemplating a role in autos for years, spending huge sums on hiring hundreds, then eliminating their roles when its priorities change, and almost as quickly hiring other engineers with similar skill sets, then firing yet more engineers, all to realize a still-mysterious ultimate vision.

The company also recently approached auto makers including Hyundai about a potential manufacturing partnership, then saw talks fizzle. It’s just as likely Apple is, as usual, experimenting until or unless it hits on something it thinks it can do better than anyone else.

“We have seen enough echoes in the supply chain that we know Apple is really looking into every detail of car engineering and car manufacturing,” says Peter Fintl, director of technology and innovation for Capgemini Engineering Germany, part of a multinational that works with dozens of auto makers and parts manufacturers. “But nobody knows if what Apple creates will be a car or a tech platform or a mobility service,” he adds.

Many other tech companies, including Intel, Nvidia, Huawei, Baidu, Amazon and Google parent Alphabet, are pushing into the usually staid, conservative and relatively low-margin world of automobiles and their parts. Meanwhile, traditional auto makers like Ford, General Motors, Toyota, Daimler and Volkswagen, plus longtime automotive suppliers such as Bosch, ZF and Magna, are trying to behave more like those tech companies.

Basically, everyone is shifting their emphasis to software—and hiring like crazy to do it. In the past year, almost every major automotive company has advertised that it would like to hire many more software developers. Volkswagen, for example, announced in March 2019 that it would add 2,000 to its technical development team; the company already employs thousands of software engineers.

“Software is eating the world, and cars are next on the menu,” says Jim Adler, managing director of Toyota AI Ventures, a venture-capital fund owned by the car maker.

From hardware to software

Today’s most complicated automobiles have up to 200 computers in them, just smart enough to do their jobs controlling everything from the engine and automatic braking system to the air conditioner and in-dash entertainment, says Johannes Deichmann, a partner at McKinsey whose expertise is software and electronics in automobiles. These computers, made by an assortment of suppliers, tend to run proprietary software, making them largely inaccessible even to the auto maker.

Such modularity is fine up to a point—when building a Chevy Malibu, does GM really need to know how the windshield-wiper computer works? Yet the proliferation of these narrow-minded processors has led to unsustainable complexity, says Mr. Deichmann.

Tesla, as you might imagine, has been instrumental in pushing the auto industry in a new direction. Since the first Model S, Tesla pioneered replacing hundreds of small computers with a handful of bigger, more powerful ones, says Jan Becker, chief executive of Apex.ai, a Palo Alto-based automotive-software startup. Systems that used to require dedicated microchips now run in separate software modules instead.

This is why Tesla can add new capabilities to its vehicles through over-the-air updates, he adds. Want better acceleration, longer range, an enhanced self-driving system, or your in-dash entertainment system to play fart noises every time you flip your turn signal? Tesla has shown they’re just a software upgrade away. It’s very much like the model of continual updates to the software in our mobile devices we’ve come to expect.

Following suit, auto makers are scrambling to build or commission their own whole-car operating systems. The field is still wide open, says Mr. Fintl. Nvidia offers its Drive OS, VW and Daimler have announced they are, like Tesla, working on their own, and Google is insinuating itself ever deeper into vehicles through its Android Auto OS. To date, it’s still focused on in-dash entertainment and navigation, but Ford recently announced that as of 2023, it will use Android in the displays of all models sold outside of China—including the just-revealed Ford F-150 Lightning—and will also use Google to help manage the data streams collected from its vehicles. GM is also using Android in its all-electric Hummer.

This is where Apple might face a tough decision: While it has the chance to flex its enormous software and chip-making expertise to create a next-generation platform for the highest bidder, the company tends to create products for its own brand, not components for others. Besides, the strategy of being just another supplier to auto makers is already being pursued by Intel (via Mobileye), Alphabet (via Waymo and Android Auto), Nvidia and others.

The enormous complexity and expense of making and delivering vehicles by the thousands, much less millions—and making them safe—are why so many tech companies are joining forces with automobile companies, rather than trying to build their own vehicles, says Ryan Robinson, automotive research leader at Deloitte.

While analysts for years predicted that big auto makers would make short work of Tesla, it turns out electric vehicles are more about software than hardware. And auto makers aren’t yet good at the kind of software today’s cars and drivers demand. Volkswagen decided last June that, despite years of development, it had to delay the debut of a flagship electric vehicle because its software wasn’t ready.

Enter Apple

“This is the big industry mystery, if a famous fruit company is entering the game,” says Mr. Deichmann.

Apple already has its CarPlay in-dash interface for iPhones. But it’s limited to functions such as entertainment and navigation, and has nothing to do with the deeper integration and capabilities required of a true vehicle operating system. Apple has also demonstrated tremendous capabilities in designing the kinds of microchips and sensors that a smart automobile would require, though for now they’re mainly found in iPhones, iPads and Macs.

Apple didn’t respond to requests for comment.

Apple could build an operating system for a whole vehicle, and run it on its own silicon. But the company seeks to vertically integrate whenever possible, to control every aspect of the user experience. So the question is: Would a car maker let Apple treat it as the company once treated AT&T, when it first rolled out its iPhone? Or the music labels, when it launched iTunes? At a stroke, it turned the tables and took control of massive markets and significant portions of our lives.

This February, Apple’s partnership talks with Hyundai broke down, possibly over Hyundai’s concerns about being absorbed into the Apple Borg. Immediately after, Nissan signalled it might be willing to work with Apple.

If there is any tech company on earth with the resources to go it alone, building a new automaker from the ground up, it’s Apple. But there is no indication this is the company’s aim. If Tesla is the model here, it’s unclear why Apple’s executives would want to endure the tortuous process of building the manufacturing, testing and service capacities this path would require.

If providing the brains for other auto makers’ vehicles is unlikely, and competing directly with Tesla and every other electric vehicle startup unsavoury, that still leaves another option for Apple. As the automotive industry inches toward self-driving taxi services, Apple’s persistence in both acquiring and developing software and hardware for electric, autonomous vehicles could signal its long-term ambitions. Could an Apple mobility company, instead of an Apple car, make the most sense?

GM’s Cruise, Amazon’s Zoox and many others are already moving down this path. But since no such robot-taxi service yet exists, save for some limited experiments by Waymo in Arizona, there is potential for Apple to create something it controls completely, while also providing significant additional revenue to a struggling automaker such as Nissan.

Apple and others could design and commission vehicles that bear their branding, and operate as part of a service they provide, with no trace of the actual manufacturer on them, says Mr. Deichmann.

Apple, after all, isn’t an electronics manufacturer. In fact, it outsources all of its manufacturing, much of it to Foxconn—which as it happens is building up its own auto-making capabilities. Rather, Apple is first and foremost a customer-focused company that uses technical know-how to develop products physically made by contractors like Foxconn. It just happens that deep technical expertise is how it realizes its leaders’ visions. And because fully autonomous driving is turning out to be much harder than anyone predicted, Apple could have the time it would need to develop its own service.

It’s quite possible that Apple will end up spending billions on attempts to develop an electric car without ever releasing a product. Or maybe it offers a product or service that fizzles. It’s possible that transportation is so different in scope and complexity from personal and mobile computing that the only way to succeed is through the kind of grand-scale collaboration Apple isn’t known for.

Toyota chief Akio Toyoda said in March that Apple should prepare itself for a 40-year commitment if it offers cars to consumers. This makes sense, especially if the goal turns out to be not merely to create a car, but to replace a significant portion of the world’s 1.4 billion cars with a completely autonomous, emissions-free, radically transformed transportation system. In other words, a trillion-dollar revolution—and Apple’s already pulled off one of those.



MOST POPULAR

Rugged coastal drives and fireside drams define a slow, indulgent journey through Scotland’s far north.

A haven for hedge-fund titans and Hollywood grandees, Greenwich is one of the world’s most expensive residential enclaves, where eye-watering prices meet unapologetic grandeur.

Related Stories
Lifestyle
The Workers Opting to Retire Instead of Taking on AI
By Lauren Weber & Ray A. Smith 07/04/2026
Lifestyle
ROLLS-ROYCE UNVEILS YACHT-INSPIRED CULLINAN SERIES FOR BESPOKE CLIENTS
By Staff Writer 30/03/2026
Lifestyle
BMW’s Electric i3 and iX3 Raise the EV Standard With a 400-Plus-Mile Range
By Jim Motavalli 26/03/2026

Their careers spanned the personal computing, internet and smartphone waves. But some older workers see AI’s arrival as the cue to exit. 

By Lauren Weber & Ray A. Smith
Tue, Apr 7, 2026 4 min

Luke Michel has already lived through two technology overhauls in his career, first desktop publishing in the 1980s and online publishing later on. But AI? He’s had enough. 

So when his employer, the Dana-Farber Cancer Institute, made an early-retirement offer to some staff last year, the 68-year-old content strategist decided to speed up his exit. Before, he had expected to work a couple more years. 

“The time and energy you have to devote to learning a whole new vocabulary and a whole new skill set, it wasn’t worth it,” he said. 

It isn’t that he’s shunning artificial intelligence—he is learning Spanish with the help of Anthropic’s Claude. But, at this point, he’s less than eager to endure all the ways the technology promises to upend work. 

“I just want to use it for my own purposes and not someone else’s,” he said. 

After rising for decades and then hovering around 40% in the 2010s, the share of Americans over 55 years old in the workforce has slipped to 37.2%, the lowest level in more than 20 years.  

The financial cushion of rising home equity and stock-market returns is driving some of the decline, economists and retirement advisers say. 

But for some older professionals, money is only part of the equation.  

They say they don’t want to spend the last years of their career going through the tumult of AI adoption, which has brought new tools, new expectations and a lot of uncertainty.  

Many people retire when key elements of their work lives are disrupted at once, said Robert Laura , co-founder of the Retirement Coaches Association and an expert on the psychology of retirement. 

“Maybe their autonomy is being challenged or changed, their friends are leaving the workplace, or they disagree with the company’s direction,” he said.  

“When two or three of these things show up, that’s when people start to opt out.”  

“AI is a big one,” he adds. “It disrupts their autonomy, their professionalism.” 

Michel, whose work required overseeing and strategizing on website content, has been here before.  

When desktop publishing arrived in the 1980s, he was a graphic designer using triangles and rubber cement.  

The internet’s arrival changed everything again. Both developments required new skills, and he was energized by the challenge of learning alongside colleagues and peers. 

It felt different this time around. “Your battery doesn’t hold a charge as long as it used to,” he said. 

He would rather spend his energy volunteering, making art, going to operas and chairing the Council on Aging in North Andover, Mass., where he lives. 

In an AARP survey last summer of 5,000 people 50 and over, 25% of those who planned to retire sooner than expected counted work stress and burnout as factors.  

About half of those retired said they had left work at least partly because they had the financial security to do so. 

In general, older Americans are less likely than younger counterparts to use AI, research shows.  

About 30% of people from ages 30 to 49 said they used ChatGPT on the job, nearly double the share of those 50 and older, according to a 2025 Pew Research Center survey of more than 5,000 adults. 

Baby boomers and members of Generation X also experienced the sharpest declines in confidence using AI technology, according to a ManpowerGroup survey of more than 13,900 workers in 19 countries. 

“We as employers aren’t doing a good enough job saying (to older workers), we value the skills that you already have, so much so that we want to invest in you to help you do your job better,” says Becky Frankiewicz , ManpowerGroup’s chief strategy officer. 

Jennifer Kerns’s misgivings about AI contributed to her departure last month from GitHub, where the 60-year-old worked as a program manager.  

Coming from a family of artists, she said, it offends her that AI models train on the creative work of people who aren’t compensated for their intellectual property. And she worries about AI’s effect on people’s critical-thinking skills. 

So she was dismayed when GitHub, a Microsoft-owned hosting service for software projects, began investing heavily in AI products and expecting employees to incorporate AI into much of their work. In employee-engagement surveys, the company had begun asking them to rate their AI usage on a scale of 1 to 5. 

When it came time to write reports and reviews, colleagues would suggest that she use ChatGPT.  

“I’d be like, ‘I have no idea how to use that and I have no interest in using AI to write anything for me,’” she said. 

It would have been more prudent to work until she was closer to Medicare eligibility, she said. But by waiting until her children were out of college and some of her stock grants had vested, the math worked. 

Her first act as a nonworking person: a solo trip to Scotland, where she took a darning workshop and learned how to repair sweaters.  

“The opposite of AI,” she said. 

Employers already under pressure to cut workers—such as in the tech industry—may welcome some of these retirements, said Gad Levanon , chief economist at Burning Glass Institute, which studies labor-market data. 

“The more people retire, the fewer they have to let go,” he said. 

Some of the savviest tech users are also balking at sticking around for the AI upheaval. Terry Grimm, who worked in IT for 40 years, retired from his senior software consultant role at 65 last May.  

His firm had just been acquired by a bigger firm, which meant learning and integrating the parent company’s AI and other tech tools into his work.   

Until then, Grimm expected he might work a couple more years, though he felt that he probably had enough saved to retire. 

“I just got to the point where I was spending 40 hours at work and then 20 hours training and studying,” said Grimm, who has since moved with his wife from the Dallas area to a housing development on a golf course in El Dorado, Ark.  

“I’m like, ‘I’ll let the younger guys do this.’”