GM cuts IT roles, hires AI

General Motors just made a very 2026 move. It cut roughly 500 to 600 salaried IT jobs, then made clear it still wants tech workers — just not the same mix of them. The company is trimming people tied to older internal tooling and infrastructure while leaning harder into AI-heavy engineering. That matters because GM is no longer treating software as support work. It is treating software, data, and AI as part of the product. ### What actually changed? The cuts started Monday, May 11, and hit GM’s information technology organization globally. The biggest impact appears to be in Austin, Texas, and Warren, Michigan. The reported total is about 500 to 600 salaried employees, which TechCrunch framed as more than 10% of GM’s IT department. GM’s line is that it is reassessing workforce needs while cutting costs. (cnbc.com) ### Why cut IT and hire at the same time? Because this does not look like a simple hiring freeze. It looks like a capability swap. The people GM still wants are tied to AI-native development, data engineering, analytics, cloud engineering, model and agent development, prompt engineering, and new AI workflows. In plain English — fewer people maintaining yesterday’s internal systems, more people building tools that automate work or feed smarter vehicle and business software. (cnbc.com) ### What does “AI-native” mean here? Not just “people who use ChatGPT at work.” GM’s own job listings show teams working on ML deployment platforms, on-vehicle inference, developer experience for AI systems, and AI research tied to products like Super Cruise and autonomous-driving software. So the company is not only buying generic office automation. It is building technical infrastructure for models that run inside vehicles and across operations. (techcrunch.com) ### Why would an automaker care this much? Because modern car companies are software companies with factories attached. Vehicles now depend on code for driver assistance, diagnostics, battery management, infotainment, supply chain visibility, and dealer and customer systems. AI can touch all of that. If GM thinks one engineer with the right AI stack can replace a chunk of repetitive internal work, then the budget naturally shifts toward people who can build those systems. (search-careers.gm.com) That is the economic logic behind this move. ### Is this only about cost cutting? No — but cost is clearly part of it. CNBC tied the layoffs to GM’s broader effort to reevaluate businesses and reduce expenses, and this is not the company’s first salaried cut in the last year. GM also cut more than 200 CAD engineers in October 2025 and made much larger manufacturing-related layoffs tied to slower EV demand. So there is a bigger pattern here: tighter spending, more selectivity, and sharper bets on what skills matter most. (search-careers.gm.com) ### Why is this different from normal restructuring? The blunt answer is that companies used to replace workers with cheaper workers. Now many are replacing broad job categories with narrower, higher-leverage technical roles. That changes the internal ladder. A lot of classic enterprise IT work — support, maintenance, workflow management, reporting — is becoming easier to automate or consolidate. The premium moves to people who can build the automation itself. (cnbc.com) GM is hardly alone, but seeing it happen inside Detroit makes the shift feel more real. ### What is the catch? AI hiring sounds glamorous, but it usually means fewer total people can own more output. That is good for margins if it works. It is rough for workers whose skills sit on the wrong side of the transition. And inside a big company, replacing institutional knowledge with new tooling talent can create its own mess if the handoff is sloppy. ### Bottom line? GM is telling employees and investors the same thing: the company still wants tech talent, but it wants a different kind. (techcrunch.com) This round was not just about shrinking. It was about redrawing what “valuable” technical work looks like inside an automaker.