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Hit Enter to Print Car

If you wanted to pinpoint the epicenter of movement in the United States, you might consider the otherwise unremarkable Los Angeles suburb of Torrance, California. It’s barely ten minutes south of Los Angeles International Airport, the fourth-busiest in the world. The ports of Los Angeles and Long Beach, which together handle more than one-third of the cargo coming into the United States, are just a couple of exits away. In the part of Torrance where Kevin Czinger has set up shop, near the junction of two teeming ten-lane interstates, the 110 and 405, the wide boulevards seem endless. They’re flanked by warehouses and dominated by trucks. The skinny palm trees in the medians look lonely and forlorn.

Czinger arrived at this hub in 2014 with a bigger-than-life goal: to reinvent auto manufacturing for the next century. The reigning status quo, as Czinger sees it, features massive factories mass-producing cars and trucks. These plants are geared toward tonnage and are punishingly rigid. The vehicles rolling off their lines choke our cities and cook our planet. It’s a model, as Czinger sees it, well along the path to extinction. His alternative is designed to diverge from that death march, which is why Czinger named his company Divergent 3D. His model is fast and flexible, similar, in Darwinian terms, to the small, cagey mammals that survived cataclysmic climate change millions of years ago. Automakers large and small, in his view, need the same mammalian skills—speed and flexibility—to survive. That’s what Kevin Czinger wants to sell.

Czinger’s manufacturing setup, like so much else in the coming age of mobility, encodes the entire process in software. Like a magazine or a song, or a million other products in today’s world, the entire vehicle is pieced together virtually, on a computer. Once the engineers are happy with the design, they hit the Print button, and 3-D printers spit out panels and joints, each one optimized for weight, strength, durability, fuel efficiency—in short, whatever quality the engineers ask for. Later a small cohort of robots assembles the car, plunks in an engine (either gas or electric), and adds four wheels and a few finishing touches. If the car is not quite right, the Divergent team melts down the pieces, tweaks the design, and reprints. As Czinger sees it, this new process will allow entrepreneurs and small design studios to barrel into small-scale car manufacturing. Setting up mini–manufacturing plants, he says, will cost a tenth of the mass-manufacturing norm, perhaps only $50 million, and will give birth to all sorts of boutique automakers. “We could have ten new car manufacturers in LA alone,” he says. “[The outdoor retailer] Patagonia could make their own brand of cars.”

It looks, though, like the first market for these 3-D printed cars will be in China. Czinger’s leading investors, including the Hong Kong real estate magnate Li Ka-shing, are members of a Chinese syndicate. They’ve earmarked more than $100 million for his operation, and are setting up the first 3-D car manufacturing plant in Shanghai.

ON A SUNNY spring day in Torrance, Kevin Czinger strolls through his spacious office, past a few rows of programmers and engineers hunched over computers. He opens the big metal door onto a dusty construction site. A crew is busy leveling the ground for a team of car-building robots. The surface must be perfectly flat so that the robots can piece together the cars with millimetric precision.

Czinger, in his late fifties, has the erect bearing of a soldier. He wears a tight short-sleeved shirt. The arms coming out of the sleeves seem a couple of sizes bigger than the rest of his body, and both are popping with veins. He was a college football player, and in the terms of that sport, he looks like a defensive back with the arms of a lineman.

He grew up the youngest of five in a working-class family in Cleveland. Two of his brothers were mechanics and into drag racing. Czinger, while still in high school, refitted a ’68 Plymouth Barracuda with a powerful 440 wedge V8 engine. That was hot-rodding. In those days, he says, it was the closest thing to computer hacking. “You had stuff from the manufacturers that didn’t work so well, and you were trying to make something better.”

It turned out to be football, not hot-rodding, that carried Kevin Czinger from Cleveland to Yale—and kick-started his career. Czinger was a demon on defense. Less than two hundred pounds, he played noseguard, lining up right across from the much-burlier centers. From this spot, just a few feet from the opposing quarterbacks, he waged war on the offense. “For three years,” wrote the Harvard Crimson in 1980, “the key to the [Yale] defense’s success has been middle guard Kevin Czinger.” The article quoted the coach at Brown University, who said that Czinger had “singlehandedly” dominated his team two years in a row. “He ruins your whole game plan.”

After college, Czinger signed up for the Marine Corps and went to law school, also at Yale. He later clerked for Gerhard Gesell, a federal judge who presided over momentous cases, from the Pentagon Papers to Watergate. When Czinger expressed an interest in prosecuting crime, Judge Gesell lined him up at the US District Court for the Southern District of New York, where Czinger soon found himself working as an assistant US attorney under Rudolph Giuliani. There he worked with a host of rising stars, including James Comey, the future FBI director.

Czinger’s career reads like a guidance counselor’s greatest hits—except that it’s all one person. He won a prestigious Bosch fellowship in Germany, and he ran media and telecom for Goldman Sachs in London. For a couple of years, he was a top executive at the German publishing conglomerate Bertelsmann. When the Internet started to percolate as a history-changing force in the mid-1990s, Czinger landed in Silicon Valley, where, as chief financial officer and head of operations, he ran one of the most ambitious and visionary of the first wave of Web companies—and one of its most notorious failures. The first big online grocer, it was called Webvan.

Although Kevin Czinger’s career continued its hopscotching path into this century, let’s stop for a moment at Webvan, because it offers some parallels to his current venture, Divergent 3D.

There was a brief time, in the late 1990s, when Webvan had the look of a rising giant. Right after the 1995 initial public stock offering of Netscape, which set off the first Internet boom, a host of start-ups raced into what was then called “cyberspace” and carried out (online) land grabs. The thinking at the time was that each niche would eventually support only a couple of competitors, and perhaps only a single dominant player. Amazon, in these early days, was shaping up merely as the leading online bookstore. Webvan’s aim was much grander. It would disrupt the $430 billion market for groceries. It promised to feed the nation, and with time, much of the world.

Venture capitalists showered millions on Internet start-ups, pretty much indiscriminately. Few of these dot-coms swallowed up bigger bets than Webvan. Leading venture firms, including the Silicon Valley titans Benchmark and Sequoia Capital, plowed hundreds of millions into the company. Webvan, intent on quickly establishing itself as the rising giant of e-grocers, rushed to open operations in ten major cities, including Chicago, San Francisco, and Los Angeles. This meant building high-tech warehouses and torturously complex supply chains, and delivering food to customers within a tight deadline—ideally, before it went rotten. It was insanely ambitious, and Kevin Czinger was calling most of the shots.

Czinger’s current automaking venture is in many ways similar. It’s ambitious and disruptive. It benefits from investors’ rush into mobility. With Divergent 3D, Czinger continues to make bold promises. This time, instead of feeding the world, he’s out to change the way we make things. Manufacturing, after all, is the foundation of the global economy. Snipping out 90 percent of the industrial process, as Czinger plans, could eliminate tens of millions of jobs. But it might also be the key to cleaning up humanity’s ways—and carving out a path to sustainability.

Soaring visions like Czinger’s flourish during the hype stage of a technological revolution, a period of sky-high promises and fearless investors. Visions sell and money flows. For many companies, profits are far off, and during this glass-half-full stage, that’s OK. Each company can sell itself as a survivor, even a potential champion.

But Czinger’s Webvan experience might tamp down a bit of the giddiness. There’s a point in every boom, he knows, when markets turn from wonder to skepticism. This usually occurs after an early highflier goes bust, which leads investors to start asking hard questions about revenue and profits.

As pretenders fail, investors retreat and survivors feast on the fallen, picking up their code, their brainpower, their customers. In the aftermath, giants emerge. We cannot say at this point—no one can—where the companies we’re getting to know, including Divergent 3D, will end up in this food chain. But whether they emerge as champions or fall and get swallowed along the way, they’re busy building the next generation of mobility. Their workers and the code they write, and the industrial process they create, will play a part of this revolution, no matter which competitors emerge on top.

This was true for Webvan as well. The company was investing mightily, its monthly expenses dwarfing revenue. Profits, if they ever arrived, were years away. By the time the market’s mood changed, in the spring of the year 2000, and investors’ gazes turned from soaring visions to the bottom line, Webvan might as well have worn a sign around its neck saying SHOOT ME. The company’s funding dried up, and it declared bankruptcy in 2002. Amazon, the survivor, promptly pounced on Webvan’s assets, including its warehouses. That giant got bigger. “The core team up at Amazon,” Czinger says, “is the old Webvan team, from robotics to warehousing.” He and his team lost control, but fed the ecosystem.

Nonetheless, Kevin Czinger managed not only to escape this Darwinian drama, but to walk away a rich man. He had managed to vest rich options while Webvan’s stock soared. He subsequently added to his wealth with lucrative stints in private equity.

So in 2008, not yet fifty years old, Kevin Czinger decided to do something big. His goal was nothing less than to save the world from global warming, while at the same time returning to his lifelong passion for cars. So he cofounded an electric car company, Coda Automotive. Most of his investors came from China, and the venture targeted the Chinese market.

As it turned out, Coda released its only model, an electric sedan, in 2012—the same year that Tesla came out with its hit luxury car, the Model S. The Tesla bested Coda in crucial categories, including range, and trounced it in the marketplace. That spelled Coda’s doom. Within a year, Czinger was shoved out, and Coda was seeking bankruptcy protection. Now having succumbed to two iconic companies, Amazon and Tesla, Kevin Czinger was plotting his next move.

Even before Coda’s fall, he says, he realized that his push for affordable electric cars was foolish—or at least dangerously misinformed. He had believed, like millions of electric car drivers today, that shifting the auto industry to an electric fleet would help save humanity from overheating our planet and killing ourselves. The cars don’t pollute. They don’t even have tailpipes.

But in 2009, Czinger came across a document that changed his thinking: a five-hundred-page report, Hidden Costs of Energy, produced by the National Academy of Sciences. It introduced the concept of life-cycle analysis and convinced Czinger that his entire vision (and those of other electric car companies, including Tesla) had everything backward.

Cars begin polluting, the report argued, long before a new owner presses the accelerator for the first time. It detailed the immense energy consumed in manufacturing a vehicle. This consumption starts with iron miners digging deep into the earth, hauling up mountains of ore, and loading them onto trains or barges. They transport it usually hundreds of miles, which consumes more energy. In steel mills, iron pellets fired with hard coal, called coke, are smelted in roaring blast furnaces that reach nearly 3,000 degrees Fahrenheit. The molten iron ore flows into other furnaces, where it’s refined into thick slabs of steel, which are pressed by massive rolling pins and eventually flattened into sheets. Then the gleaming rolls of steel are shipped off to an auto plant. Each step of this process burns lots of fuel, in turn spewing metric tons of greenhouse gases into the atmosphere.

The other materials arriving at the same auto plant’s docks—the plastics, glass, and chemicals—each emerge from their own industrial processes, most of them involving fires and furnaces. The manufacturing of a car, according to the report, consumes more energy and creates more earth-warming havoc than the actual car will produce as it plies the streets and highways for a decade or two. As Czinger read the report, it became clear to him that practically any new car, even an electricity-fueled Leaf or Tesla, was an environmental liability. “I was such a dummy,” he says.

But this revelation led Kevin Czinger toward yet another staggeringly ambitious goal: This time, instead of feeding the world or electrifying transportation, he would take it upon himself to dramatically clean up auto manufacturing. And as if that weren’t enough, he also aimed to minimize the environmental damage that cars create once they’re built. This is where, a decade earlier, he had held out hope for emission-free electric cars. But the simple laws of physics overturned this logic. If you’ve ever tried pushing a car, you know that budging even a smallish one, a Mini Cooper, say, or a Camry, requires loads of energy (and a strong back). Compared with those cars, Tesla’s luxury Model S, the one that sank Coda, was a behemoth. The first prototype, displayed in 2009, weighed in at 4,600 pounds. About one-quarter of that weight came from the battery alone. Moving millions of them would require countless gigawatts.

Even without an internal combustion engine, and absent the fumes, those gigawatts had to come from somewhere. About two-thirds of the electricity in the world, Czinger saw, came from burning fossil fuels. This added to global warming. Sure, there were promising trends. Norway’s electrical grid was fueled by alternative energy. California was quickly making strides in that direction. Electricity in France came mostly from nuclear plants, which despite other concerns produce no greenhouse gases. But most of the world’s electricity came from carbon, and it would for decades. Using that electricity to move heavy vehicles hundreds of billions of miles, Czinger realized, was unsustainable.

What’s more, the world’s biggest and fastest-growing car market—China—promised unmitigated disaster. Most of China’s electric cars, in effect, would be running on filthy coal. This promised some relief for the coughing and wheezing masses in smoggy Beijing and Shanghai. But from a global perspective, it simply shifted the pollution from crowded cities to the distant fossil fuel–burning utilities elsewhere. For the future of the planet, it was even worse. “Turning China’s fleet to electric cars,” he says, shaking his head, “is the most insane thing you could ever think of doing.”

So Kevin Czinger would not only clean up the industrial process. His manufacturing system would also produce dramatically lighter cars. At one-third the weight of traditional cars, they would consume less energy, regardless of the engine type. That would result in cleaner air.

His goal was to replicate the cyclical patterns and feedback loops of nature. This is a recurring theme throughout the mobility world, and indeed, in the broader sphere of computing. The idea is that throughout our industrial history, we have been starved of vital information, or feedback. Most traffic lights at four thirty a.m. don’t see that we’re waiting at the corner all alone. They cannot adjust to changing conditions, as a crossing guard might, and wave us through. Lacking this data, they blindly rely on programmed rules. On an intelligence scale, they’re somewhere between rocks and refrigerators—unresponsive, but reliable. Entire industries, as we’ll see, are focused on seeding elements of the physical world, including traffic lights, with sensors, and turning the dumb machines into adaptive networks, ones that behave more like plants and animals.

This same logic extends to manufacturing. Car companies spend hundreds of billions of dollars to mass-produce legions of identical units. It’s a dumb, inflexible process. Lacking feedback loops to catch defects or to gauge popularity, an auto plant simply pumps out the units. If something’s wrong, the company issues hideously expensive recalls. And if certain aspects of the car or truck—the hood design, lumbar support, highway mileage—turn off buyers, there’s no easy fix. The structure is locked in. Failures cost hundreds of millions. It’s money down the drain.

In Czinger’s scheme, which he relates to biology, each car evolves. The 3-D printer process can spit out single specimens, which can be tested for speed, handling, comfort, fuel efficiency. This creates feedback loops. As test data comes in, the engineers can melt down the car and tweak the software design—the car’s DNA. They can spawn different species for varying markets—or ecosystems—perhaps one car for the long, flat boulevards of Torrance, another for the chaotic streets and alleys of Karachi.

The former noseguard gets most excited when talking about the most violent of feedback loops: crashes. Because most of a printed car can be melted down and recycled, it’s much cheaper to run them through crash tests. Each test will produce rich data on every material and design feature in the car. In Czinger’s vision, next-generation manufacturers around the world will crash their cars, scores of them, creating oceans of feedback data, which they’ll share with everyone else. “We’ll be swimming in crash data,” Czinger says. Once this data is fed into learning engines, they can analyze the performance of each component, gradually leading to the safest and most crashworthy designs. Such is the supple nature and competitive advantage of a manufacturing process that exists, in large part, as software.

DIVERGENT 3D REPRESENTS merely one stab at manufacturing the next generation of vehicles. Entrepreneurs around the world are busy devising new machines, and a good number of them are innovating with schemes simpler than Kevin Czinger’s robots and 3-D printers.

Many such start-ups are repurposing industrial machinery used to make stoves or bicycles. The result is an explosion of tinkering. VeloMetro, a Vancouver, British Columbia, start-up, created the Veemo, a three-wheeled electric-aided bicycle encased on three sides in an all-weather pod. Big companies are in on it, too. Renault’s Twizy, a featherweight electric automobile, looks like a go-cart. Its two doors rise up on its sides, like a bat’s wings. Over the coming decades, the streets and sidewalks of cities around the world will be crowded laboratories for a wild and diverse generation of mobility machines. They’ll look like something dreamed up for video games, or from a world inspired by Dr. Seuss.

In the college town of Eugene, Oregon, a former video-game designer named Mark Frohnmayer is putting together one such machine, an electric auto–motorcycle hybrid called Arcimoto. Imagine, for starts, turning a tricycle around, so that two wheels are in front, one behind. Then expand it to the size of a motorcycle, put in a couple of seats, one behind the other, and enclose it with an arc of plexiglass. These odd beasts are now rolling out of an Oregon manufacturing plant and selling for $11,000.

Frohnmayer, a UC Berkeley–educated computer scientist, succeeded early in his career as a video-game designer. One of his hits in the late 1990s, Starsiege: Tribes, was an early online multiplayer game set a couple thousand years into the future. Each player’s character was equipped with a gun, and he gathered with other tribes of humans for fights that jumped from one galaxy to the next. In 2001, Frohnmayer and his partners founded a software company called GarageGames. The idea was to develop easy-to-use tools for people to create their own video games. Six years later, Frohnmayer and his team sold the company to Barry Diller’s Internet conglomerate, IAC, for a reported $80 million.

This left him with a chunk of money and some free time. So he went shopping for a car. After a successful “exit,” as it’s called in the venture business, plenty of entrepreneurs might splurge on a Tesla S or a Porsche Panamera. But Frohnmayer is in Oregon, not the Valley. He’s the son of a university president, very idealistic, and, like many in the new mobility businesses, bright green and eager to save the world.

He was in the market for a socially responsible set of wheels, something to use when it was too wet to bike. He didn’t want to spend too much for it—maybe $10,000. He was disappointed. Even the cheapest cars seemed too big and cumbersome. He considered a motorcycle. It would be easy to park and fuel efficient. But motorcycling is miserable in the rain, which pretty much defines Eugene from October to June. Also, motorcycles are dangerous. People fly off them like missiles.

“What I saw,” Frohnmayer recalls, “is this enormous space between the motorcycle and the car.” Most trips around town, he said, involve one person, sometimes two, rarely more. So there had to be a market for people like him, who wanted a cheap and extremely fuel efficient electric vehicle for driving around town in bad weather, maybe just the mile or two to a train station or bus stop. The vehicle, he thought, should be as easy to park as a motorcycle, but as safe as a car, and with enough storage to bring home a few bags of groceries. He figured he could assemble a team to design this new species.

It turned out to be harder than software. “When you build a game in software,” he says, “you can copy it for no cost. You can fix a bug. Software is almost magical.” Manufacturing in the physical world, by contrast, proved to be “fantastically more complex.” Starting in 2008, his team in Eugene created one version after another of the two-seated roadster. This development went on for eight years—the entire Obama presidency. The Arcimoto team kept subbing in different materials and designs to reduce weight; they replaced handlebars with a steering wheel, then returned to handlebars again. They wedged stronger batteries into smaller nooks.

In all, they went through seven versions, and something was always … not quite right. But the eighth version sold them. It had a range of seventy-five miles. Though hardly a speed demon, the Arcimoto could still hold its own with cars, with a top speed of eighty miles per hour.

Finally, Frohnmayer had a green machine to strut before investors. In 2017, Arcimoto listed its stock on the Nasdaq Global Market and raised $19.5 million. That was enough to go into production. It launched sales early in 2019, but with a higher price than anticipated—some $19,900. Frohnmayer vowed to the press that with greater volume and expertise, they’d eventually get the price down to the $11,900 target. This is the tough learning curve start-ups face in manufacturing. The traditional players are wizards when it comes to mass production. No other industry has come close.

Arcimoto’s manufacturing is primitive, compared with Divergent 3D’s robotics and 3-D printing. In the Eugene factory, Arcimoto’s workers shear metal parts from sheets of steel, and then use a press to bend them to the right shapes—“Essentially sheet metal origami,” says Frohnmayer. The Arcimoto SRK, more motorcycle than car, is a far simpler vehicle than the cars Divergent 3D is designed to build. But Arcimoto also spent a lot less than the $50 million for a Divergent minifactory. The company has raised a mere $30 million in funding, and it already has its full manufacturing operation up and running. “And a lot of the money is still in the bank,” Frohnmayer says.

In the fight to build the next generation of mobility manufacturing, a host of variables are in flux. The dollar investment in manufacturing is falling, as is the cost of vehicles. Meanwhile, the choice of vehicles is exploding, and each year batteries provide a greater range and lower costs. The challenge, whether the current product is an Arcimoto, a Veemo, a Twizy, or one of the 3-D printed cars coming off a new line in Shanghai, is to build an enduring business plan for times of unrelenting change.

AT THE DAWN of the Internet age, when Kevin Czinger was busy building an online grocery business, the mobility revolution would have been impossible. Yet over the following two decades, crucial technologies advanced dramatically, turning visions like 3-D printed cars from far-fetched fantasies into factory installations.

It’s astounding how many crucial pieces have fallen into place in so little time. Start with data, the feedstock of the information economy. At the turn of the century, the age of data had not yet taken shape. This is because most of us weren’t yet spending our lives interacting with screens and surrounded by sensors, or busily feeding social networks. The networks didn’t learn much about us—our buying habits, our diseases, our networks of friends. Our lives were still largely off-line. Many computers, strange as it sounds today, sat cloistered in “computer rooms.” Laptops had no Wi-Fi. And even if we had uploaded the data on floppy disks to networks, there weren’t yet powerful cloud computers to store and process it, turning our behaviors and movements into insights and fueling crucial advances in artificial intelligence.

In those early Internet years, networked sensors, the eyes and ears of the mobility world, were still in their infancy. By far the most important of these sensors, the smartphones we carry around everywhere, did not yet exist. Without smartphones, an entire wing of the mobility economy, from Uber to dockless bike and scooter companies, would disintegrate. (For those companies, our smartphones are their customers, not us. We’re simply stuff that rides along, the smartphones’ luggage.)

One of the recent breakthroughs in the data economy has been the increased mastery of human language by machines. All our online scribbling and yammering has created massive language sets for computers. In effect, we have taught them language. This enables us to talk to the machines moving us around. Speech is the dominant interface for mobility technology. This wouldn’t have been possible, except in a handful of primitive applications, before about 2015.

By looking back even a decade or two, we can sense the speed of the tech current pushing us forward. It’s fast, and it’s accelerating. The technologies powering the mobility revolution, from AI to manufacturing and network management, are sure to advance just as dramatically over the next decade or two.

The same growth curve is being experienced by 3-D printing. In the first decade of this century, the mere suggestion of harnessing armies of 3-D printers for automobile manufacturing would have sounded outlandish. Such printers in their infancy were mostly for hobbyists. Designers could draw up something on their computers—perhaps a refrigerator handle, or a new stem for a broken pair of sunglasses. But the process was slow. Similar to a child building a sand drip castle at the beach, the printer deposited material layer upon layer, and gradually an object rose into the physical world. It was called “additive” technology. Instead of a child’s stubby fingers dripping sand, a 3-D printer used a precision nozzle that spit out minutely calibrated material, usually plastic. It was miraculous, in its way, but deliberate, built to craft one object at a time. It might have been the next stage of craftsmanship, but it was hardly a rival to mass manufacturing.

Yet the manufacturers of such devices kept shooting ahead. In the last decade, 3-D printers have radically expanded their diet and equipped themselves for more serious work. These digital factories can now consume a variety of metallic powders and a broad array of composites. This increases their range. Their speed, meanwhile, has climbed up the exponential curve familiar to other digital technologies. Traditional carmakers are now using 3-D printers to create certain parts while leaving the rest of their mass-manufacturing process intact.

When it comes to speed, 3-D printing cannot compete with the astounding production of a traditional assembly plant. The question is whether the 3-D printing process will be fast enough for minifactories to make money in niche markets—or if it will be fast enough in three or four years.

DIVERGENT 3D’S FIRST car, which Czinger showcases at mobility conferences, is a sleek, purple sports car called the Blade. It has the curves of a 1950s-era Porsche, yet it weighs only 1,400 pounds. If it had a more modest motor, it could run more than one hundred miles on a gallon of gas. But the show version, built to wow motor-heads and car writers, sacrifices economy for performance. It has the power of 700 horses, and it can accelerate from zero to sixty in a blistering two seconds flat.

The Blade is only a concept car at this point. Divergent’s business, Czinger says, will not be in producing and selling cars, but instead in leasing its manufacturing system—its software—to automakers big and small around the world. Even as 3-D printing grows faster, it will never compete with the productivity of mass manufacturing. But niche markets don’t require such speed or scale. Czinger estimates that simple printed cars with commodity engines will sell for $6,000 or so—not even a third the price of Mark Frohnmayer’s Arcimoto SRK. The plans for the Shanghai factory call for the production of nearly one thousand such cars per month. The number is minuscule by mass-manufacturing standards, but it’s an entirely different business model. If this approach takes off, Divergent 3D could become a global software platform for vehicle manufacturing. That is Kevin Czinger’s goal.

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