General Motors has made significant changes to its IT department by laying off approximately 600 salaried employees, which accounts for over 10% of its workforce in that area. This move is part of a strategic shift to replace positions that no longer align with the company's evolving technological focus.
In a statement, GM emphasized that these layoffs are part of a broader transformation within its Information Technology organization aimed at better positioning the company for future challenges. While the layoffs have been confirmed, GM indicated that it is still actively hiring for new roles that require different skill sets.
Focus on AI Skills
The new roles GM is looking to fill are centered around advanced technology capabilities, particularly in:
- AI-native development
- Data engineering and analytics
- Cloud-based engineering
- Agent and model development
- Prompt engineering and AI workflows
This focus suggests GM is seeking professionals who can build AI systems from the ground up rather than merely using AI as a tool for productivity.
Recent Layoffs and Changes
Over the past 18 months, GM has seen layoffs across various departments as part of its strategy to concentrate resources on high-priority initiatives, including AI. For instance, in August 2024, the company cut around 1,000 software workers.
The restructuring has coincided with leadership changes, notably the hiring of Sterling Anderson as chief product officer in May 2025, who has been pivotal in consolidating GM's technology operations.
New Leadership and Hiring Initiatives
To fill the gaps left by the layoffs, GM has made several key hires, including:
- Behrad Toghi as AI lead, previously with Apple
- Rashed Haq as vice president of autonomous vehicles, formerly at Cruise
These appointments reflect GM's commitment to enhancing its capabilities in autonomous and AI-driven technologies.
Industry Implications
GM's restructuring serves as a clear indicator of how companies are adapting to the demands of enterprise AI. The focus on specific skill sets for new hires illustrates a trend of not just integrating AI tools but fundamentally reshaping workforces to meet the future of technology.
