Normal Motors has laid off greater than 10% of its IT division, or about 600 salaried workers — in a deliberate expertise swap: clearing out staff whose experience now not matches and making room for some with AI-focused backgrounds.
GM confirmed to TechCrunch that it had performed layoffs; they had been first reported by Bloomberg Information.
In an emailed assertion, the automaker framed the layoffs as means to arrange it for the longer term, with out offering specifics. “GM is reworking its Info Expertise group to raised place the corporate for the longer term,” the corporate mentioned.
These layoffs will not be all everlasting headcount reductions. An individual conversant in the layoffs instructed TechCrunch that the corporate remains to be hiring folks for roles in its IT division, however for various expertise. Probably the most sought-after capabilities are AI-native growth, knowledge engineering and analytics, cloud-based engineering, and agent and mannequin growth, immediate engineering, and new AI workflows. In sensible phrases, GM is on the lookout for individuals who know how one can construct with AI from the bottom up — designing the techniques, coaching the fashions, and engineering the pipelines — not simply use AI as a productiveness instrument.
GM has laid off white-collar workers in a number of departments over the previous 18 months, because it focuses its assets on high-priority initiatives, together with AI. In August 2024, for instance, the corporate lower about 1,000 software program staff.
The software program workforce has undergone vital change since Sterling Anderson — co-founder of the autonomous trucking startup Aurora and a veteran of the autonomous car trade — was employed in Might 2025 as chief product officer. Final November, three prime executives left the corporate’s software program crew as Anderson pushed to consolidate GM’s disparate expertise companies into one group: Baris Cetinok, senior vp of software program and providers product administration, Dave Richardson, senior vp of software program and providers engineering, and Barak Turovsky, a former VP at Cisco who spent simply 9 months as GM’s chief AI officer.
GM has since moved to fill the hole with new AI-focused hires. It employed Behrad Toghi, who beforehand labored at Apple, in October as AI lead. The corporate additionally introduced on Rashed Haq as its vp of autonomous autos. Haq spent 5 years at Cruise — the self-driving car firm acquired and later shuttered by GM — as its head of AI and robotics.
For the trade, GM’s restructuring is a sign of what enterprise AI adoption truly appears like in apply — not simply including AI instruments on prime of current groups, however intentionally rebuilding the workforce from the bottom up. The particular capabilities it is hiring for — agent growth, mannequin engineering, AI-native workflows — level straight at the place large-enterprise demand is heading.
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