In a rapidly evolving landscape shaped by advancements in artificial intelligence, the largest automakers in the United States are witnessing significant transformations in their workforce. Known as the "Detroit Three," General Motors, Ford, and Stellantis have collectively reduced their American salaried positions by over 20,000, representing nearly 19% of their total workforce since the peak employment levels reached in recent years, according to company filings and employment statistics.
The driving factors behind these workforce reductions vary across the companies but are largely connected to the shift towards new technologies in the automotive sector, including software-driven vehicles, autonomous cars, and electric vehicles. Recently, Ford’s CEO, Jim Farley, commented on the potential impact of AI, predicting it could displace up to half of white-collar jobs in the U.S., cautioning that many professionals may be left behind due to this technological shift.
General Motors has been at the forefront of these cuts, reducing its U.S. salaried workforce by approximately 11,000 individuals from 2022 through last year. This occurred after a significant increase from 48,000 employees in 2020 to 58,000 in 2022. Meanwhile, Ford and Stellantis have implemented more gradual reductions. Ford has decreased its salaried workforce by about 5,300 since its 2020 peak, bringing its current total to around 30,700. Stellantis has also scaled back from 15,000 employees to around 11,000 over the same period. Across the Detroit Three, salaried positions peaked at around 102,000 in 2022, but by the end of last year, this number had declined by 13% to 88,700.
Gad Levanon, chief economist at the Burning Glass Institute, noted that clerical and repetitive roles, particularly in finance and IT, are most at risk from AI automation. While some white-collar jobs may be lost, new opportunities are anticipated in sectors linked to automation, cybersecurity, and software-defined vehicles. Levanon expects this trend to shape the workforce over the next decade or more.
Recently, GM announced additional layoffs of approximately 500 to 600 salaried positions globally, primarily impacting IT operations in Texas and Michigan. These reductions were reportedly influenced by the shifting needs brought on by AI developments. Despite these layoffs, GM is actively seeking to fill positions related to AI and is encouraging employees to leverage new AI tools. One programmer who was laid off remarked on the productivity benefits of AI, highlighting the importance of industry knowledge alongside technological proficiency.
Before these recent IT layoffs, GM had already experienced notable reductions in its salaried workforce due to the discontinuation of its Cruise robotaxi venture and ongoing evaluations of its staffing under CEO Mary Barra. During a meeting in January, Barra noted that sometimes the personnel that help an organization reach its initial goals may not be the right fit for future objectives.
While the job losses at the Detroit Three reflect significant changes, they don’t necessarily characterize the entire U.S. automotive industry. According to the U.S. Bureau of Labor Statistics, overall employment in motor vehicle manufacturing declined only slightly by 0.2% from 2022 to last year, totaling 285,800 workers and encompassing both salaried and hourly employees. Furthermore, not all automotive manufacturers are experiencing job reductions; Toyota, for instance, reported a 31% increase in its American white-collar workforce during the same timeframe, now employing around 47,500 white-collar staff. Despite these layoffs, Ford, GM, and Stellantis continue to seek new hires for specific roles.
