GM Lays Off 600 IT Workers and Backfills with AI-Native Roles

General Motors cut approximately 600 salaried IT employees across Austin and Warren offices. Over 10% of the department. The new job postings specify agent development, prompt engineering, model training, data engineering, and cloud-based engineering.

This isn't a headcount reduction. It's a skills replacement. GM is hiring the same number of people. Different people, with different skills.

The job postings tell you exactly what enterprise IT departments think they need in 2026: people who build AI systems from scratch, not people who administer traditional infrastructure. "Agent development" and "prompt engineering" are now job titles at a 116-year-old automaker. That's not a trend piece. That's a hiring requisition.

This is the third major IT workforce action at GM in 18 months. The pattern is clear and accelerating. And GM isn't alone. GitLab cut 7% of staff the same weekend, explicitly citing the "agentic era" as justification, reorganizing R&D into 60 smaller autonomous teams and removing up to three management layers. Their stock dropped 8% after-hours, extending a 12-month slide from $52 to $26. Simon Willison's analysis notes the company has "a strong incentive to believe that agents will have that effect" since their business model depends on software engineering volume growing.

The uncomfortable truth connecting today's stories: the HN post about going back to hand-written code hit 954 points the same day that GM replaced 600 IT workers with AI-native roles. Both things are true at the same time. Some developers are choosing to reject AI tools. Some employers are choosing to reject developers who don't use AI tools.

For anyone reading this who works in traditional IT: the GM job postings are a roadmap. Agent development. Prompt engineering. Model training. Cloud-native infrastructure. These aren't nice-to-haves on a resume anymore. They're the replacement skills, literally.