GM terminates 600 IT employees as it transitions to software-defined vehicles, reallocating skills towards AI development.
**TL;DR** General Motors is laying off 500 to 600 IT employees while hiring engineers with AI expertise, signaling a shift away from electric vehicles and robotaxis towards software-defined vehicles utilizing Google Gemini and Nvidia Drive Thor.
General Motors has announced the dismissal of 500 to 600 salaried IT workers, aiming to replace them with engineers experienced in AI system development. This reduction, primarily affecting offices in Austin, Texas, and Warren, Michigan, constitutes more than 10% of GM's IT workforce. The company is not reducing headcount for financial savings but executing a skills swap: letting go of employees whose skills no longer align with current needs and hiring data engineers, prompt specialists, and AI-native developers instead. Following this news, GM's stock fell by 4%.
While this restructuring is limited to one department within a company of approximately 163,000 employees, its implications are significant as it exemplifies the integration of enterprise AI in a long-established industrial firm. GM is not just incorporating AI tools within its existing workforce; it is intentionally reshaping its workforce from the ground up to meet the evolving technical requirements of its product strategy, which has dramatically changed over the past 18 months.
**The Strategy**
GM's technological focus encompassed three areas: electric vehicles, autonomous driving, and software-defined vehicles. It is now scaling back on two of these and concentrating on the latter.
The shift away from electric vehicles has been pronounced, with GM recognizing $7.1 billion in special charges in the fourth quarter of 2025, including $6 billion linked to its EV initiatives. The company divested its stake in the Ultium Cells battery plant in Lansing, Michigan, to LG Energy Solution, and has temporarily idled battery plants in Ohio and Tennessee. Moreover, it laid off 1,750 workers indefinitely and temporarily reduced another 1,670 positions at EV and battery facilities. In April, GM entirely halted development on its next-generation full-size electric truck and SUV program, impacting updated models of the Chevrolet Silverado EV, GMC Sierra EV, GMC Hummer EV, and Cadillac Escalade IQ.
The move away from autonomous driving occurred earlier. GM ceased operations of Cruise’s robotaxi service in December 2024 after sustained investment and several safety incidents. The Cruise technical team was absorbed into GM’s own autonomous vehicle division, with a new focus on personal vehicles rather than ride-hailing. Currently, nearly 90% of the code used in GM's autonomous driving software is generated by AI, a statistic that was unthinkable two years ago, illustrating the need for fewer legacy IT roles and more engineers capable of managing AI-generated code at scale.
The strategy of software-defined vehicles remains. Starting this year, GM is integrating Google’s Gemini conversational AI into its vehicles. It has partnered with Nvidia to replace the Qualcomm Snapdragon platform with Nvidia’s Drive Thor system, set to launch in 2028 and designed for vehicles that prioritize software. The company has appointed Behrad Toghi from Apple as its AI lead and Rashed Haq, formerly with Cruise, as vice president of autonomous vehicles.
**The Earnings**
The layoffs in the IT sector come after a robust first quarter in which GM reported $43.6 billion in revenue, roughly unchanged year over year. Adjusted EBIT was $4.3 billion, a 22% increase, and adjusted earnings per share stood at $3.70, exceeding Wall Street expectations by 40%. The net income for the quarter reached $2.6 billion.
This period included a one-time gain of $500 million from a US Supreme Court decision that ended and refunded certain tariff payments made under previous trade policies. As a result, GM raised its full-year 2026 adjusted earnings forecast by $500 million to a range of $13.5 to $15.5 billion, reflecting this rebate. The company also recorded $1.1 billion in special charges related to the EV pullback, with 90% of anticipated supplier claims already accounted for and most cash outflows expected to conclude this year.
GM remains profitable, achieving growth in earnings and generating strong cash flow primarily from its North American truck and SUV operations, which dominate its operating income. The IT restructuring does not signal financial distress; rather, it reflects a company's choice to revamp its technology workforce while its core business remains strong.
**The Pattern**
Zuckerberg indicated to Meta employees that their layoffs are related to capital expenditure rather than AI productivity, a narrative aligning with GM’s stance. Both companies assert that their reductions are investments instead of austerity measures, channeling the savings into AI infrastructure. They face a similar legitimacy challenge: if the layoffs aim to build a better future, why are affected staff informed about it like they would be with cost-cutting measures?
Meta is eliminating 8,000 jobs while investing $135 billion in AI. Though the scale differs from GM's layoffs of 600 IT positions, the rationale is the same. Across
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GM terminates 600 IT employees as it transitions to software-defined vehicles, reallocating skills towards AI development.
General Motors is reducing its IT workforce by 500-600 employees and bringing on board engineers skilled in AI. The company is stepping back from electric vehicles and robotaxis, instead focusing more on AI-driven software-defined vehicles.
