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General Motors is laying off hundreds of tech workers while still hiring for AI and autonomous vehicle jobs at the same time. That sounds backwards at first. If a company is cutting IT staff, why would it still be trying to recruit more technology workers?
The answer starts making more sense once you look at which kinds of tech jobs companies suddenly see as valuable, and which ones they now treat more like operational costs.
GM confirmed this week that 500 to 600 salaried IT roles were being eliminated globally, with many of the cuts affecting employees in Austin, Texas, and Warren, Michigan. But the company also still has dozens of open technology positions on its careers site, including jobs connected to artificial intelligence, motorsports and self-driving systems.
A few years ago, most people would probably have treated “tech worker” as one broad category inside a company. Businesses do not really think that way anymore. Some roles are now tied directly to future products and growth plans. Others are viewed more as support functions that keep existing systems running.
That split is becoming much more visible across large companies, especially in industries trying to reposition themselves around software and AI.
Car companies are a good example because modern vehicles now rely heavily on software, automation and connected systems. Once that happens, executives stop thinking purely about manufacturing capacity or engine design. They start thinking about data, simulation systems, autonomous driving platforms and AI infrastructure.
The type of employee a company prioritises changes with that shift.
Someone maintaining older internal systems may suddenly look less essential than an engineer building software connected to future vehicle platforms. From the outside, both workers still sit under “technology.” Inside the business, leadership teams may see them very differently.
That is why these layoffs can look contradictory to employees and outsiders while still making sense internally.
Mary Barra has spent years pushing GM toward electric vehicles, software integration and autonomous driving technology. Even with slower EV demand and investor concerns around costs, the company still appears determined to keep investing in the areas it believes will matter long term.
What has changed recently is how aggressively large companies are reallocating money and headcount around those priorities.
Layoffs used to be associated mostly with crisis or collapsing demand. Now many businesses are reducing staff while still profitable because investors reward efficiency differently than they did a decade ago. Companies are under pressure to show they can cut operational spending while still funding future growth areas.
AI has accelerated that behaviour.
Businesses increasingly believe some technical work can now be automated, outsourced or handled by smaller teams. At the same time, specialised engineers tied to AI systems or advanced software development have become more valuable, not less.
So companies end up cutting broad layers of staff while competing aggressively for smaller groups of highly targeted workers.
That pattern is starting to appear almost everywhere now, not just in the auto industry. The labels inside companies are changing. “Technology worker” no longer means one thing. Businesses are quietly separating jobs tied to maintenance from jobs tied to future revenue ambitions.
For employees, that can make the current market feel unpredictable. Two people can work in the same department with similar experience levels and end up facing completely different futures depending on which projects they are attached to.
That is part of why announcements like GM’s keep attracting attention even when the overall cuts are relatively modest by big corporate standards. People are trying to work out where companies believe long-term value now sits — and which roles are slowly moving outside that category.