TL;DR
General Motors has laid off approximately 600 IT employees, about 10% of its IT workforce, to make room for new hires with advanced AI skills. The move signals a strategic shift toward AI-driven innovation in the company’s technology operations.
General Motors has laid off more than 600 IT employees, roughly 10% of its IT department, in a strategic shift to prioritize AI expertise. The company confirmed the layoffs to TechCrunch, framing the move as part of its efforts to prepare for future technological demands and innovation.
GM’s layoffs, first reported by Bloomberg News and confirmed by the company, targeted employees whose skills no longer align with the company’s evolving technology strategy. The automaker stated that these layoffs are part of a broader transformation of its IT organization aimed at positioning the company for future growth. Despite the reductions, GM is actively hiring for new roles focused on AI-native development, data engineering, cloud systems, and AI workflow engineering, emphasizing skills such as model training, pipeline engineering, and prompt engineering.
This shift follows GM’s recent history of restructuring its software and AI teams, including the departure of key software executives and the hiring of new AI-focused leaders like Behrad Toghi and Rashed Haq. The company’s focus on AI indicates a deliberate move to integrate artificial intelligence deeply into its operations, from autonomous vehicles to manufacturing processes, signaling a significant industry trend towards enterprise AI adoption.
Why It Matters
This development underscores a broader industry trend where automakers and large enterprises are shifting from traditional software development to specialized AI engineering. GM’s focus on hiring experts in AI-native development and pipelines highlights the increasing importance of AI capabilities for future competitiveness and innovation, potentially influencing workforce strategies across the automotive and tech sectors.
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Background
Over the past 18 months, GM has undergone significant restructuring of its software and AI teams, including layoffs and new hires. In August 2024, GM cut about 1,000 software jobs, and in 2025, it hired Sterling Anderson as chief product officer to lead its AI initiatives. The company has also made strategic hires from companies like Apple and Cruise, emphasizing AI and robotics expertise. These moves reflect GM’s broader push to embed AI into its core operations and develop autonomous vehicle technology, aligning with industry-wide shifts towards AI-driven automation and data-centric solutions.
“GM is transforming its Information Technology organization to better position the company for the future.”
— GM spokesperson
“GM’s restructuring signals what enterprise AI adoption actually looks like — not just adding AI tools but rebuilding the workforce from the ground up.”
— Kirsten Korosec, TechCrunch transportation editor
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What Remains Unclear
It is not yet clear how long GM will continue layoffs or how many new hires it plans to make in AI roles. The specific timelines for further restructuring and the full scope of the AI-focused workforce transformation remain uncertain. Additionally, the impact of these changes on overall company performance and innovation outcomes is still to be seen.
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What’s Next
Next steps include GM’s ongoing recruitment for AI-native roles, with expected further adjustments as the company integrates AI into its core operations. Monitoring GM’s hiring patterns and technological implementations will reveal how deeply AI becomes embedded in its business model over the coming months.
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Key Questions
Why did GM lay off so many IT workers?
GM laid off over 600 IT employees to shift its workforce toward AI expertise, aiming to better position the company for future technological advancements and innovation.
Are GM’s layoffs permanent?
Some layoffs are likely permanent, but the company is also hiring for new roles, suggesting a restructuring rather than a simple reduction in headcount.
What kinds of AI skills is GM seeking?
GM is looking for expertise in AI-native development, data engineering, cloud-based engineering, model training, prompt engineering, and AI workflows from the ground up.
Will GM continue layoffs in the future?
It is unclear whether further layoffs will occur; GM’s current focus appears to be on rebuilding its workforce around advanced AI capabilities.
How does this affect GM’s autonomous vehicle efforts?
The focus on AI skills aligns with GM’s ongoing development of autonomous vehicles, indicating a strategic move to strengthen its AI-driven autonomous systems.
