"GM confirmed to TechCrunch that it had conducted layoffs; they were first reported by Bloomberg News. In an emailed statement, the automaker framed the layoffs as means to prepare it for the future, without providing specifics. "GM is transforming its Information Technology organization to better position the company for the future," the company said."
"These layoffs are not all permanent headcount reductions. A person familiar with the layoffs told TechCrunch that the company is still hiring people for roles in its IT department, but for different skills. The most sought-after capabilities are AI-native development, data engineering and analytics, cloud-based engineering, and agent and model development, prompt engineering, and new AI workflows."
"In practical terms, GM is looking for people who know how to build with AI from the ground up - designing the systems, training the models, and engineering the pipelines - not just use AI as a productivity tool. GM has laid off white-collar employees in several departments over the past 18 months, as it focuses its resources on high-priority initiatives, including AI."
"The software workforce has undergone significant change since Sterling Anderson - co-founder of the autonomous trucking startup Aurora and a veteran of the autonomous vehicle industry - was hired in May 2025 as chief product officer. Last November, three top executives left the company's software team as Anderson pushed to consolidate GM's disparate technology businesses into one organization: Baris Cetinok, senior vice president of software and services product management, Dave Richardson, senior vice president of software and services engineering,"
GM laid off more than 10% of its IT department, about 600 salaried employees, as part of a skills swap. The company said it is transforming its Information Technology organization to better position the company for the future. Some layoffs are not permanent reductions because GM continues hiring for IT roles requiring different skills. The most sought-after capabilities include AI-native development, data engineering and analytics, cloud-based engineering, and agent and model development. GM is seeking people who can build AI systems end to end, including designing systems, training models, and engineering pipelines, rather than only using AI as a productivity tool. GM has also reduced white-collar roles in other departments over the past 18 months, including software cuts in August 2024.
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