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Where the company is trying to restart its electric car program from scratch

Two thousand miles from Detroit, just across the road from the runways of Long Beach Airport, the future of Ford is taking shape. What that shape is, however, the company isn’t quite ready to share yet.
Last week, the automaker invited some members of the car press inside the secret compound where Ford is developing its next battery-powered vehicle, an affordable midsize pickup truck due out next year. Although the actual appearance of that truck is a closely guarded secret, as is just about everything else about it, Ford wanted to show off its launchpad, the Electric Vehicle Development Center. The research and development campus, with its two white warehouses glimmering in the Southern California sun, is about more than one car. Inside, teams of engineers, coders, and designers are trying to reinvent how Ford makes vehicles in the hopes of turning around its fortunes in the electric era. As the company at large has canceled EV models and infrastructure and taken on billions of dollars in losses to transition some of its EV assets back to combustion, EVDC represents its one big chance to find a way forward in electric cars.
Ford knows it’s at an inflection point. The company’s first forays into making mainstream electric cars, such as the Mustang Mach-E and Ford F-150 Lightning, were quality vehicles that beat many established automotive rivals into the space. But Ford struggled to keep costs down and wound up losing billions as it tried to scale up an electric car business.
Something had to change. Last year, CEO Jim Farley said Ford would restart its electrification efforts through a skunkworks team, a small unit that would rethink how it builds EVs. “They're from all over the place,” Alan Clarke, the executive director of advanced EV development, said of the skunkworkers during our visit last week. “Some of them are from startup EV, some of them are from established EV. Many come from consumer electronics, startup aerospace companies, and you'll meet many of them today, but there's also many that have come from Ford. Many of them have waited decades for a moonshot like this.”
The group studied EV brands like Tesla and Rivian that simplified their electrical and computing architectures to strip miles of expensive wiring from their vehicles. They worked fast and leaned in a way meant to echo Silicon Valley more than Motor City. The result is the Universal EV platform that will underlie not only next year’s new truck, promised to start in the $30,000s, but also a variety of vehicles to come, creating manufacturing savings that will hopefully allow Ford to sell more affordable electric cars.
Even the California locale is no accident. It’s meant to call back to a time when the brand was the innovator, not the establishment , with the hope that the secret sauce of the past can propel Ford back into a race dominated by startups – and now by rivals like GM and Hyundai that beat Ford to the punch with better EV platforms. The facility itself is already 100 years old, built to expand production of the Ford Model A in the 1920s and 30s.
Inside, EVDC represents a full embrace of the frictionless workplace: no corner offices, just open rows of computers amid a makeshift garage brimming with 3D printers, spools of wiring, and racks of gear. Coders are a short stroll from the visual designers tinkering with clay models. Electrical engineers are around the corner from the “lab car,” a rectangular steel frame meant to suggest the general shape of a vehicle, with a complete mockup of the future car’s electrical system strung along the skeleton so that workers can test any part of it. This is about process; the closest thing to the shape of a car is a wooden one with test car seats inside, set up in the fabrication shop. The shepherds of our tour met any question about the specifics of the forthcoming truck with a quick you’ll find out next year, though a prototype dressed up in that zebra camouflage just happened to sneak by as we moved between building.
The point of all this is to innovate at speed, without the barriers inherent in the old-fashioned hierarchical struggle that governs an established business. Any idea that can make a car a little bit better, or cheaper, is welcome. It can come from something as simple as fabric on the seats. In the seating lab, Scott Anderson is using new algorithms to lay out the necessary shapes to be cut from a sheet of fabric with the least possible waste.
The more pressing concerns for an electric car lie in the battery, though, since that unit still makes up about 40% of the cost of an EV. On Ford’s campus, a chamber is coming together that will test cells under just about any climatic conditions, from about -40 degrees Fahrenheit to 150 degrees. Inside a thermal lab dedicated to battery development, engineers can build and test battery cells in the same location. As with every department at EVDC, the point is to be able to prototype, test, and move on to the next iteration within a couple of weeks rather than the months it might have taken before.
The lessons that emerge from Long Beach are meant to spread throughout the Ford ecosystem. For example, EVDC researchers are working on ways to build EVs from three modules that can be assembled separately and come together toward the end of the process. It’s a plan that’s meant to double as a life improvement for workers at the plant in Louisville, Kentucky, that will build Ford’s EV pickup truck — they can, for example, work on brake pedals while standing up rather than sitting awkwardly in the driver’s seat and reaching down to the footwell.
That is the eternal skunkworks challenge. It’s not enough to establish a small team charged to move fast and break things without the suits there to say no. Their innovations must really take root. Ford, at least, seems to understand the urgency at the very top. Farley, the CEO, has been especially vocal among industry bigwigs about the existential threat of cheap Chinese EVs, which lots of American drivers would buy if they could. EVDC will not magically allow Ford to compete at Chinese’s pricing level. But by restarting its EV program from scratch, Ford’s version of the Apollo program, it could follow a manufacturing path that’s competitive with the likes of Tesla and with the electric offerings of its longtime rivals. Compared to the status quo of losing billions every year on electrification, that would indeed be a giant leap.
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The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation.What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.