GM, Ford, and Stellantis have reduced their workforce by 20,000 white-collar positions. The trend is set to intensify with the rise of AI.

GM, Ford, and Stellantis have reduced their workforce by 20,000 white-collar positions. The trend is set to intensify with the rise of AI.

      **Summary:** Since 2022, Detroit's Big Three automakers have reduced their white-collar workforce by 19%, impacting over 20,000 salaried jobs. General Motors recently laid off 500 IT staff while looking to fill 250 AI-related positions. This downsizing began before the current AI developments but has intensified due to them. The white-collar employment among these companies peaked at around 102,000 jobs in 2022 and fell to 88,700 by the end of last year, with GM making the most significant cuts, followed by Ford and Stellantis. The drastic reductions stand in contrast to the open positions in AI, indicating a shift in the industry's focus. Ford CEO Jim Farley stated AI could replace half of white-collar jobs in the US. While AI boosts productivity, it also raises concerns about the loss of institutional knowledge when employees leave. The broader automotive sector hasn't seen a similar decline in white-collar jobs, with Toyota actually increasing its workforce. Stellantis plans to add over 2,000 white-collar jobs in North America, indicating a differing approach within the industry. The entry of Chinese automakers into Canada, offering cheaper vehicles without legacy costs, adds competitive pressure. GM's CEO, Mary Barra, emphasized that the workforce needed to adapt to new challenges, a reality already evident for the 20,000 workers who have lost their jobs. For those remaining, it's uncertain if they are fully prepared for the future ahead.

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GM, Ford, and Stellantis have reduced their workforce by 20,000 white-collar positions. The trend is set to intensify with the rise of AI.

Since 2022, Detroit's Big Three have reduced their total salaried workforce by 19%. GM recently laid off an additional 500 IT employees while simultaneously recruiting for 250 positions in AI.