General Motors, Ford Motor, and Stellantis have together eliminated more than 20,000 U.S. salaried jobs from their recent employment peaks this decade, a 19 percent reduction in their combined white-collar workforces, as the companies accelerate a shift toward artificial intelligence and software-driven vehicles, CNBC reported, citing public filings and company employment data.
The scale of the cuts is stark. Combined white-collar employment at the three Detroit automakers peaked at roughly 102,000 jobs in 2022. By the end of last year, that number had fallen to 88,700. And the bleeding hasn't stopped: GM this week laid off between 500 and 600 salaried workers globally, largely in IT operations in Texas and Michigan.
The reasons executives give for the reductions vary, "transformations," "bold choices," cost-cutting, efficiency. But one thread runs through all of it: artificial intelligence is replacing the kind of office work that once sustained tens of thousands of middle-class careers in and around Detroit. For workers who built their lives around those paychecks, the corporate language about "reshaping" the workforce lands like a pink slip wrapped in a press release.
GM has absorbed the largest share of the pain. The company expanded from 48,000 U.S. white-collar workers in 2020 to 58,000 in 2022, then reversed course and cut roughly 11,000 of those positions through last year. People familiar with the matter told CNBC that this week's latest round of layoffs, hitting IT staff in Texas and Michigan, was "partially due to changing workforce needs involving AI."
A veteran programmer and data scientist who lost his job at GM this week put it plainly: "They're going to push AI for everyday work and everything else." He acknowledged AI's power, "It can make you much more productive, as a programmer. It can really help you get more work done", but added a caveat that should concern anyone watching this trend: "AI isn't going to do you any good if you don't know the business."
Ford scaled back by roughly 5,300 salaried workers from its 2020 peak, ending last year with about 30,700 white-collar employees. Stellantis went from 15,000 salaried workers in 2020 to about 11,000 over the same period. All three companies declined to comment on the reductions in their U.S. white-collar workforces in recent years.
The broader industry picture offers some context. The U.S. Bureau of Labor Statistics reported that motor vehicle manufacturing jobs dropped by just 0.2 percent from 2022 through last year, to 285,800 workers. That suggests the white-collar cuts at the Big Three are running far ahead of the overall sector, a sign that the pain is concentrated among the legacy automakers, not spread evenly across the business.
Ford CEO Jim Farley has been unusually blunt about what he sees coming. Speaking at the Aspen Ideas Festival in July, Farley offered a prediction that should alarm every salaried worker in every American industry, not just automaking.
"Artificial intelligence is going to replace literally half of all white-collar workers in the U.S."
Farley went further, stating that "AI will leave a lot of white-collar people behind." This is not some mid-level consultant speculating on a panel. This is the chief executive of one of America's oldest industrial companies telling the public, in plain English, that the jobs are not coming back.
GM CEO Mary Barra, speaking in January at an Automotive Press Association meeting, framed the turnover in different terms. "Sometimes the people who got you to 'point A' aren't necessarily people who are going to get you to 'point B,'" she said. The remark was aimed at leadership turnover, but it captures the broader corporate logic: the workforce that built the company is not the workforce the company intends to keep.
Meanwhile, GM has been cutting hundreds of IT workers while simultaneously posting more than 250 open positions dealing with AI. The Detroit automakers currently have more than 2,000 open positions in the U.S., and nearly 400 of those posted jobs involve AI. The message is clear: the old skills are out, the new skills are in, and the transition will not be gentle.
Not every automaker is shrinking its American office workforce. Toyota Motor reported a roughly 31 percent increase in its American white-collar workforce from 2020 through 2025, growing to roughly 47,500 people. That contrast deserves attention. While the Detroit Three shed tens of thousands of salaried positions, their Japanese competitor expanded aggressively on American soil.
The divergence raises a question the Big Three's executives have not adequately answered: Is the downsizing driven by genuine technological necessity, or by years of strategic missteps, including costly bets on all-electric vehicles, that now require painful correction? GM, Ford, and Stellantis have all poured billions into EV transitions that have produced enormous losses. The salaried workers being shown the door may be paying for boardroom decisions they had no hand in making.
Stellantis CEO Antonio Filosa has said the company still plans to add more than 2,000 white-collar jobs in North America as part of a companywide turnaround that includes a global cost-cutting program. Whether that promise holds remains to be seen. Stellantis has been dealing with disruptions on multiple fronts, including production shutdowns tied to supplier disputes and the fallout from tariff-related pauses.
The AI-driven restructuring is not happening in a vacuum. Stellantis also temporarily laid off 900 U.S. workers at five facilities, Warren Stamping, Sterling Stamping, Indiana Transmission, Kokomo Transmission, and Kokomo Casting, after new U.S. auto tariffs took effect, Reuters reported. The company simultaneously paused production at assembly plants in Windsor, Ontario, and Toluca, Mexico.
Romaine McKinney III, president of the local union chapter representing workers at the Warren stamping plant, described the impact in stark terms: "It's pure devastation."
Filosa, in an email to employees, acknowledged the difficulty. "With the new automotive sector tariffs now in effect, it will take our collective resilience and discipline to push through this challenging time," he wrote, as the Washington Examiner reported. David Kelleher, president of the David Auto Group, warned that tariffs would push prices up and cut volume, revenue, and factory activity.
The tariff layoffs are temporary. The AI-driven cuts, by every indication, are not. That distinction matters. Workers caught in both currents, trade disruption and technological displacement, face a labor market that is shifting under their feet in ways that no single policy lever can easily fix.
The automakers are not alone in grappling with what AI means for headcount. Boston Consulting Group forecasts that five years from now, or perhaps further out, 10 to 15 percent of U.S. jobs could be eliminated as AI proliferates. Over the next two to three years, BCG projects that 50 to 55 percent of American jobs will be "reshaped" by AI.
Gregory Emerson, a managing director and senior partner at BCG, put the stakes in direct terms in a coauthored report: "This shift is already happening, and will pick up speed as AI adoption spreads."
Emerson also warned companies against cutting too fast or too recklessly.
"Those who cut their workforce beyond AI's ability to replace it will see productivity drop, institutional knowledge disappear, and critical talent walk away. Those who fail to dramatically rethink work will see their competitors grow faster and more profitably."
Gad Levanon, chief economist at the labor data nonprofit Burning Glass Institute, identified the jobs most at risk: clerical positions and repetitive office work in finance and information technology, including coding. "A lot of white collar workers will lose their jobs because AI can automate some of their tasks," Levanon said. "I think it will be a major trend in the next decade or two."
Lenny LaRocca, who leads consulting firm KPMG's automotive practice in the Americas, urged caution. "They really need to think about how they adapt it and use it to generate, to be more efficient and be more profitable," LaRocca said. He pushed back on the idea that the goal is simply fewer employees: "I don't know necessarily if it's just to reduce headcounts. I think the focus is more on how do they do their job better and how to be more innovative and move quicker."
That's a reasonable aspiration. But the numbers tell a different story. More than 20,000 salaried workers are already gone. And even as GM ramps up truck production in some areas, the white-collar side of the business keeps contracting.
The pattern here is familiar to anyone who has watched American industry over the past four decades. Executives announce a bold new direction. Consultants produce glossy reports. Shareholders get reassured. And the workers, the people who showed up, learned the systems, kept the business running, get a 15-minute call and a severance package.
The Detroit automakers are not wrong that AI will change how cars are designed, built, and sold. They are not wrong that software-defined vehicles require different skills than the ones that dominated auto engineering for a century. But the speed and scale of the cuts, combined with the billions lost on premature EV bets and the ongoing tariff disruptions, suggest something less than a clean, well-managed transition.
It looks more like companies that overexpanded during the post-pandemic hiring boom, made expensive strategic gambles that haven't paid off, and are now using AI as the justification for a painful correction that has as much to do with the balance sheet as it does with the future of technology.
The workers who built GM's IT systems, managed Ford's supply chains, and kept Stellantis running deserve better than corporate euphemisms about getting from "point A" to "point B." They deserve an honest answer about whether the jobs are gone because machines can do them, or because the people at the top made bets that didn't work out and need someone else to absorb the cost.
In Detroit, the future arrives on schedule. The bill just always seems to land on the same desks.