GM, Ford and Stellantis slash 20,000 jobs as AI reshapes automotive workforce
General Motors has cut 600 IT staff to facilitate a skills swap, while industry peers eliminate thousands of salaried roles. Meanwhile, Samsara monetises AI infrastructure and startups secure significant funding.
The automotive sector is undergoing a profound transformation in its workforce dynamics, driven by an intensifying demand for artificial intelligence capabilities. According to a report by TechCrunch Mobility, General Motors has laid off approximately 600 IT employees, representing more than 10 per cent of its IT department. The company describes this reduction as a deliberate skills swap, aiming to replace traditional IT roles with positions focused on AI-native development, data engineering, and cloud-based infrastructure.
GM is seeking professionals capable of building systems from the ground up, including those skilled in agent and model development, prompt engineering, and new AI workflows. The company emphasises that it requires individuals who can design and train models rather than merely utilise AI as a productivity tool. However, the exchange is not one-to-one, suggesting a net-negative impact on overall employment numbers within the department.
This trend extends beyond Detroit. TechCrunch analysis indicates that Ford, GM, and Stellantis have collectively eliminated more than 20,000 US salaried jobs, equating to 19 per cent of their combined workforce from recent peaks this decade. While various factors contribute to these reductions, they are largely attributed to technological changes and the integration of AI across operations.
While job losses mount, other players in the mobility space are finding commercial success through AI applications. Samsara has monetised its technology by training models to detect road potholes and assess their deterioration rates. The company is currently pitching this service to municipal governments, with several contracts already secured in cities including Chicago.
The broader market context presents a complex picture for investors. A recent analysis by CNBC challenges the assumption that corporate layoffs driven by AI implementation automatically boost equity performance. Simultaneously, venture capital continues to flow into the sector, with startups such as Arkeus, Rapido, and Quantum Systems securing substantial funding rounds, while Tesla and Waymo navigate safety recalls and operational updates.
