General Motors cut roughly 600 IT workers, about 10% of its information‑technology workforce, in a move aimed at swapping legacy skill sets for AI expertise. The layoffs, first reported by Bloomberg and confirmed by the automaker, were framed as a preparation for future technology demands, though GM did not disclose exact timelines.

The company continues hiring, but only for roles that require AI-native development, data engineering, cloud engineering, and prompt engineering. New hires must be able to design AI systems, train models, and build pipelines from scratch rather than merely applying AI as a productivity add‑on. This focused recruitment follows a broader pattern of GM shedding white‑collar staff while bolstering its autonomous‑vehicle and AI divisions.

Recent senior appointments—such as former Apple engineer Behrad Toghi as AI lead and ex‑Cruise executive Rashed Haq as VP of autonomous vehicles—signal a rapid restructuring under chief product officer Sterling Anderson. By rebuilding its IT organization around advanced AI workflows, GM is turning workforce planning into a tangible component of its enterprise‑AI strategy.