US automaker General Motors has laid off more than 10% of its IT workforce, affecting about 600 salaried employees, as the company restructures its operations around artificial intelligence and other high-priority initiatives, according to a TechCrunch report.
The latest cuts are part of a broader restructuring effort that has seen GM reduce white-collar roles across multiple departments over the past 18 months, including about 1,000 software employees laid off in August 2024 as it continued shifting resources toward AI-focused talent and digital operations.
“GM is transforming its Information Technology organization to better position the company for the future,” the company said in an emailed statement, reflecting a broader transition inside GM’s technology operations.
While the company has refused to give clarifications about the restructuring, a person familiar with the matter told TechCrunch that the company is still actively hiring within its IT division, but for workers with more advanced AI-focused expertise, which includes skills in AI-native development, data engineering, analytics, cloud infrastructure, prompt engineering, and AI model and agent development. In effect, GM is prioritizing employees who can build and manage AI systems from the ground up, not just use generative AI tools to work faster.
This restructuring comes as General Motors continues to overhaul its software and AI operations under new leadership.
The company’s technology workforce has seen major changes since Sterling Anderson, co-founder of Aurora, joined GM in May 2025 as chief product officer, leading efforts to consolidate GM’s previously fragmented technology and software divisions into a single organization.
Meanwhile, the automaker has continued hiring executives with deeper AI and autonomous driving expertise. Among them are Behrad Toghi, who joined as AI lead after previously working at Apple, and Rashed Haq, a former Cruise executive who now oversees autonomous vehicle efforts at GM.
As the American automaker rebuilds its tech stack around AI and autonomous systems, more restructuring is expected as it redefines what its future workforce will look like.
David Adubiina
