GM just laid off hundreds of IT workers to hire those with stronger AI skills
General Motors has laid off approximately 600 IT workers, over 10% of its department, to prioritize individuals with stronger AI proficiencies. This strategic move aims to reconfigure its workforce for future demands, focusing on AI-native development and related advanced skills. The company is actively hiring for these new roles.
General Motors recently laid off approximately 600 IT department employees, constituting over 10% of its workforce in that sector. This decision reflects a deliberate strategy to swap out workers whose expertise no longer aligns with the company's evolving needs, making way for individuals with stronger AI-focused backgrounds. The layoffs were confirmed by GM, which stated the move is intended to better position the company for the future.
GM is currently hiring for new roles within its IT department, emphasizing capabilities such as AI-native development, data engineering and analytics, cloud-based engineering, agent and model development, and prompt engineering. The company seeks individuals capable of building AI systems from the ground up, including designing systems, training models, and engineering pipelines, rather than just using AI as a productivity tool.
This recent restructuring is part of a broader trend at GM, which has seen the company shed white-collar employees across various departments over the past 18 months. These actions underscore GM's commitment to reallocating resources towards high-priority initiatives, particularly in artificial intelligence. Past reductions include about 1,000 software workers in August 2024.
The changes coincide with significant leadership shifts within GM's software team, including the appointment of Sterling Anderson as chief product officer and the departure of several top executives. GM has actively sought to fill these gaps with new AI-focused hires, such as Behrad Toghi as AI lead and Rashed Haq as vice president of autonomous vehicles, signaling a clear direction towards an AI-centric future.
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