A New Wave of Tech Company Layoffs
Tech company layoffs are arriving in waves, but this time they are closely tied to artificial intelligence rather than pure belt-tightening. GitLab and General Motors (GM) are the latest examples of well-performing firms shrinking headcount while doubling down on AI capabilities. GitLab has opened a voluntary separation window and plans to reduce its global operational footprint by up to 30 percent in the countries where it maintains very small teams, even as it continues to pitch itself as a trusted enterprise platform for software creation in the AI era. GM, meanwhile, is cutting around 500 to 600 salaried IT roles as part of a broader transformation of its technology operations. These moves signal a structural shift in software industry jobs and echo earlier cuts at Cloudflare, Coinbase, Meta, Amazon, and others, as AI reshapes what kinds of work companies prioritize.
GitLab’s AI-First Restructure and Flattened Hierarchy
GitLab is framing its restructuring as an AI-era transformation rather than a straightforward cost-cutting plan. CEO Bill Staples argues the company “grew into a shape that was right for the last era and isn’t right for this one,” and insists the exercise is not an AI optimization project, even though AI is central to the shift. The company aims to flatten its organization, cutting back from eight management layers that leadership says are slowing decision-making. R&D will be reorganized into about 60 smaller teams, with internal processes “rewired” to integrate AI across code planning, drafting, review, deployment, and repair. Human staff will focus more on system architecture and directional oversight, while GitLab’s Duo Agent Platform underpins a broader bet on agent-specific APIs, revamped CI/CD, and support for human-owned and autonomous workloads. In practice, this AI restructuring strategy trades traditional management-heavy structures for leaner, AI-augmented teams.
GM’s Software and AI Pivot Inside the Auto Business
GM’s latest layoffs underscore how legacy manufacturers are morphing into software-centric companies. The automaker is cutting hundreds of salaried IT positions as it reshapes its technology department to better support software and computing-intensive vehicles. Recent changes include integrating more computing and software capabilities into cars and expanding the use of AI across operations. These cuts add to earlier job reductions linked to shifting strategies around electric vehicles and autonomous driving, including the scaling back of roles at its Cruise unit after shelving some robotaxi plans. While painful for affected staff, the move reflects a broader reallocation of resources from traditional IT functions toward embedded software, AI-driven services, and digital platforms within the vehicle ecosystem. For GM, tech workforce changes are less about shrinking technology ambitions and more about refocusing them on AI-enabled products and services that management believes will define the company’s future value.
Flattened Structures, Smaller Footprints, and AI Infrastructure Bets
A clear pattern is emerging across the tech sector: companies are flattening management, shrinking geographic footprints, and redirecting savings into AI infrastructure. GitLab plans to reduce the number of countries in which it operates by up to 30 percent, explicitly targeting locations with only a handful of employees. It is also cutting organizational layers to accelerate decision-making and align around AI-centric workflows. Similarly, GM’s IT transformation consolidates traditional roles while emphasizing AI-enabled systems and software integration. Rather than expanding headcount, these firms are investing in data models, governance frameworks, and pipelines that support human-owned, agent-assisted, and autonomous workloads. This reprioritization shifts capital away from broad workforce expansion toward platform capabilities designed to scale AI across the business. The result is a leaner organizational shape where fewer people oversee more powerful, AI-driven systems, fundamentally altering how software industry jobs are defined and deployed.