The largest U.S. automakers—Ford, General Motors, and Stellantis—have collectively cut nearly 20,000 salaried jobs, equivalent to about 19% of their combined workforce at peak employment this decade. These layoffs reflect a significant shift as the industry adapts to emerging technologies including artificial intelligence, autonomous systems, and electric vehicles.
General Motors led the downsizing by reducing around 11,000 white-collar roles since 2022, largely affecting employees in office management, IT, finance, and software development. While GM underwent a hiring surge between 2020 and 2022, much of the previous workforce was replaced by AI-focused talent aimed at automating further aspects of corporate operations.
Executives across the Detroit automakers have acknowledged the growing impact of AI on their industries. Ford’s CEO predicted that artificial intelligence will replace half of all white-collar jobs across the United States, emphasizing the challenges many salaried workers now face as companies invest heavily in digital transformation and software-driven vehicles.
These workforce changes underscore a broader industry restructuring. Electric vehicles demand different manufacturing processes and software integration, reducing reliance on traditional roles. Meanwhile, AI’s ability to streamline functions like coding, financial analysis, and IT management accelerates workforce reductions.
The combined layoffs come at a time when the Detroit automakers also focus on retraining efforts and recruiting new specialists skilled in AI and EV technologies, signaling a transition rather than simply job elimination. However, the pace and scale of cuts highlight the rising risks for salaried employees whose skills no longer align with automakers’ evolving needs.