Detroit’s Big Three Automakers Slash 20,000 White-Collar Jobs as AI Reshapes the Industry

CNBC reported Friday that General Motors, Ford and Stellantis have together eliminated more than 20,000 U.S. salaried positions from their recent employment peaks. That figure represents roughly 19% of their combined white-collar workforces. Technological disruption, including the rapid rise of AI, is broadly driving the reductions.

A Mounting White-Collar Exodus Across Detroit

The three automakers reached a combined peak of approximately 102,000 salaried jobs in 2022. By the end of last year, that figure had fallen to around 88,700 workers. General Motors CEO Mary Barra has overseen the steepest decline. GM shed roughly 11,000 U.S. salaried roles between 2022 and 2025, after having expanded its white-collar headcount sharply in the preceding two years.

Ford CEO Jim Farley has been unusually candid about what lies ahead. Speaking at the Aspen Ideas Festival last July, Farley told attendees that AI could displace half of all white-collar workers in the United States. Ford has trimmed its salaried workforce by around 5,300 positions from its 2020 peak. Stellantis has cut from roughly 15,000 salaried employees to about 11,000 over the same period.

GM Extends Cuts Into IT Operations This Week

The trend is not slowing. GM this week laid off between 500 and 600 salaried employees globally, with the reductions concentrated in information technology teams across Texas and Michigan. Sources familiar with the cuts told CNBC the move was partly tied to shifting workforce needs driven by AI adoption.

The same week, GM’s jobs board showed an active push to hire for AI-focused roles. Current and former employees told CNBC the company is encouraging its remaining IT staff to integrate AI tools into daily workflows. One veteran programmer who was among this week’s casualties said AI demonstrably boosts coding productivity, but warned the technology still requires workers with deep institutional knowledge.

Background: A Decade of Structural Shifts in Auto Employment

The Detroit Three’s white-collar workforce declines reflect broader forces that predate the current AI wave. The pivot toward electric vehicles demanded new software and battery expertise, rendering some traditional engineering roles obsolete. Autonomous vehicle programs required fresh talent pools, while legacy IT and finance functions began facing automation pressure from earlier generations of software tools.

Gad Levanon, chief economist at the Burning Glass Institute, told CNBC that clerical and repetitive office roles face the greatest near-term displacement risk from AI. He expects the trend to define labor markets across the auto sector for the next decade or more.

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