America’s largest automakers are continuing to reduce white-collar positions as artificial intelligence and rapidly changing vehicle technologies transform the automotive industry.

The so-called “Detroit Three” — Ford Motor Company, General Motors, and Stellantis — have collectively eliminated more than 20,000 salaried jobs in the United States from their employment highs earlier this decade.

According to company filings and employment data, the cuts represent roughly 19% of their combined salaried workforce.

Industry analysts say the reductions are being driven by major technological changes reshaping the auto sector, including the transition toward software-defined vehicles, electric cars, autonomous driving systems, and expanding use of artificial intelligence.

Automakers are increasingly prioritizing digital engineering, automation, and AI-powered systems while streamlining traditional corporate and administrative roles.

The rise of software-heavy vehicles has also changed the types of employees manufacturers need, with greater demand for software developers, AI specialists, cybersecurity experts, and data engineers.

At the same time, companies are facing intense pressure to reduce costs while investing billions into electric vehicle development and advanced mobility technologies.

Artificial intelligence is expected to further accelerate workplace restructuring by automating tasks previously handled by salaried employees in areas such as engineering support, customer service, logistics, design analysis, and administrative operations.

The transformation reflects a broader shift occurring across manufacturing industries where companies are increasingly integrating AI tools to improve efficiency and productivity.

While automakers argue the changes are necessary to remain competitive in a rapidly evolving global market, the job cuts have raised concerns about the long-term impact of automation on middle-class white-collar employment in the United States.

Detroit’s auto industry has historically been associated with large-scale factory layoffs tied to automation and economic downturns, but the current trend shows that salaried and professional roles are now also increasingly vulnerable to technological disruption.

As AI adoption expands, experts believe the automotive workforce will continue evolving toward highly technical and software-focused positions.

The shift signals a new era for the American auto industry, where digital innovation and artificial intelligence may play as significant a role as traditional manufacturing expertise.