Detroit's Big Three Automakers Cut Over 20,000 U.S. White-Collar Jobs Amid AI Transformation Push

Over the past few years, Detroit-based automakers General Motors (GM), Ford Motor Company, and Stellantis have collectively cut more than 20,000 white-collar jobs in the United States—representing 19% of their total U.S. white-collar workforce. The combined number of white-collar employees at these three companies in the U.S. declined from a peak of approximately 102,000 in 2022 to 88,700 by the end of 2023. GM led the reductions, eliminating around 11,000 U.S. white-collar positions between 2022 and 2023—nearly offsetting all the white-collar job growth it had achieved between 2020 and 2022. More recently, GM announced another round of global white-collar layoffs affecting 500 to 600 employees, primarily in IT operations based in Texas and Michigan, partly driven by shifting labor demands linked to artificial intelligence (AI). At the same time, the company continues actively hiring AI talent and encouraging employees to adopt its internal AI-powered workplace platform. Ford has streamlined approximately 5,300 white-collar roles since its employment peak in 2020, bringing its U.S. white-collar headcount down to about 30,700 by the end of 2023. Stellantis saw its U.S. white-collar workforce shrink from 15,000 to roughly 11,000 over the same period. Despite the overall downsizing, all three automakers are still hiring: they currently have more than 2,000 open positions in the U.S., nearly 400 of which are focused on AI—GM alone is advertising over 250 AI-related roles. These workforce adjustments are closely tied to sweeping technological transformations reshaping the auto industry, including software-defined vehicles, electrification, autonomous driving, and AI integration. GM’s recent cuts followed the shutdown of its Cruise autonomous taxi unit and CEO Mary Barra’s ongoing organizational streamlining efforts. Barra has previously stated that the leaders who brought the company to its current stage may not be the ones best suited to lead it into the next phase. Notably, total employment across the U.S. automotive manufacturing sector has remained relatively stable. From 2022 to 2023, industry-wide employment dipped by just 0.2%, holding steady at approximately 285,800 workers—including both frontline production staff and white-collar employees. Meanwhile, some foreign automakers expanded their U.S. white-collar presence during this period: Toyota, for example, grew its U.S. white-collar workforce by 31%, reaching about 47,500 employees. Industry experts warn that AI is driving a fundamental restructuring of workplace roles. They project that 10% to 15% of traditional jobs in the U.S. could be eliminated over the next five years, and within two to three years, half of existing roles will likely undergo significant functional changes. Companies that cut too deeply beyond what AI can replace risk operational setbacks and talent drain, while those resisting transformation altogether may miss critical opportunities for growth.