General Motors, Ford, and Stellantis have collectively cut over 20,000 U.S. salaried jobs, or 19% of their combined white-collar workforce, from employment peaks this decade as the auto industry accelerates its transition toward AI-driven and electric vehicle manufacturing.
"Artificial intelligence is going to replace literally half of all white-collar workers in the U.S.," Ford CEO Jim Farley said at the Aspen Ideas Festival, adding that "AI will leave a lot of white-collar people behind."
The workforce reduction accelerated in the past two years, with combined salaried employment for the trio falling 13% from a peak of 102,000 in 2022 to 88,700 by the end of 2023. General Motors led the cuts, shedding roughly 11,000 white-collar roles in the U.S. from 2022 through last year. Ford has reduced its salaried staff by about 5,300 since 2020, while Stellantis is down by 4,000 workers over the same period.
This strategic downsizing reflects a high-stakes gamble by the automakers to slash costs and reinvest savings into high-growth areas like autonomous driving, software, and AI development. The cuts aim to streamline operations ahead of intense competition from EV-native firms, but executives risk eroding institutional knowledge and morale, a concern highlighted by Boston Consulting Group, which warns that cutting faster than AI can replace productivity could be a critical error.
AI as Both Cause and Solution
The recent layoffs at General Motors, where 500 to 600 IT and salaried workers were let go, were explicitly, though not solely, linked to the company's evolving needs around artificial intelligence. The move exemplifies a broader trend: cutting staff in some areas while aggressively hiring in others. A laid-off veteran programmer from GM told CNBC, "It can make you much more productive, as a programmer... but AI isn't going to do you any good if you don't know the business."
This paradox is visible in the automakers' hiring portals. While thousands are being laid off, the Detroit automakers have over 2,000 open U.S. positions, nearly 400 of which are for roles involving AI. GM alone is seeking to fill over 250 such positions. Gad Levanon, chief economist at the Burning Glass Institute, said he believes jobs in clerical functions, finance, and repetitive IT tasks are the most susceptible to being replaced by AI automation.
A Divergent Industry
The workforce reductions at the Detroit Three are not representative of the entire U.S. auto industry. While GM, Ford, and Stellantis have been shrinking their salaried ranks, Toyota Motor reported a 31% increase in its American white-collar workforce from 2020 to 2025, reaching roughly 47,500 people.
Furthermore, data from the U.S. Bureau of Labor Statistics shows that overall motor vehicle manufacturing jobs, including both salaried and hourly workers, declined by only 0.2% from 2022 to 2023. This indicates the cuts are a specific strategic choice by the Detroit automakers to restructure, rather than a sector-wide collapse. Underscoring the complexity of the situation, Stellantis CEO Antonio Filosa has stated the company still intends to add over 2,000 white-collar jobs in North America as part of its own turnaround plan.
For investors in GM, Ford, and Stellantis, these workforce changes are a clear signal of the companies' commitment to a painful but potentially necessary transformation. "They really need to think about how they adapt it and use it to generate, to be more efficient and be more profitable," said Lenny LaRocca of KPMG. The market will be watching closely to see if these cuts lead to the promised innovation and efficiency, or if, as Boston Consulting Group warns, they result in a critical loss of talent and institutional knowledge that could leave them vulnerable in the long run.
This article is for informational purposes only and does not constitute investment advice.
