GM confirmed on Monday that it has laid off between 500 and 600 salaried employees from its global information technology division, describing the cuts as part of a restructuring to align with future business needs and emerging technologies.
Scope of Layoffs
The reductions primarily affect workers at GM facilities in Austin, Texas, and Warren, Michigan. The company did not provide a specific breakdown of job functions or locations affected. As of the end of 2024, GM employed approximately 68,000 salaried workers globally, including 47,000 white-collar employees in the United States.
Context and Recent History
These layoffs follow a pattern of workforce adjustments. In October 2024, GM cut more than 200 Computer-Aided Design (CAD) engineers due to business conditions. Prior to that, in August 2024, approximately 1,000 software workers were laid off.
Hiring and Reorganization
Despite the layoffs, GM currently lists 82 open IT positions. These openings are concentrated in areas including artificial intelligence (AI), motorsports, and autonomous vehicles.
GM described the workforce changes as a transformation of its Information Technology organization. The company is reportedly seeking to hire personnel with skills in:
- AI-native development
- Data engineering and analytics
- Cloud-based engineering
- Agent and model development
- Prompt engineering
- AI workflows
Executive and Personnel Changes
Recent appointments at GM include:
- Sterling Anderson, former co-founder of autonomous trucking startup Aurora, joined GM as chief product officer in May 2025.
- Behrad Toghi was hired as AI lead in October 2025 (previously at Apple).
- Rashed Haq was hired as vice president of autonomous vehicles in 2025 (previously at Cruise).
Several top software executives departed the company in November 2025, including Baris Cetinok, Dave Richardson, and Barak Turovsky.
Industry Context
GM’s restructuring reflects a broader trend among large corporations of reallocating resources from traditional IT roles toward positions focused on building and integrating AI systems.