GitLab lays off 14% of workforce amid expansion for AI-driven workloads
GitLab is reducing its workforce by 14% as the company focuses on scaling its platform infrastructure to support growing AI and machine learning workloads.
Developer platform GitLab has reduced its workforce by approximately 14%, affecting around 350 employees, as part of a larger restructuring initiative outlined by the company last month.
In May, GitLab announced plans to streamline operations by exiting 22 countries, reducing management layers, and redirecting resources toward infrastructure investments intended to support growing demand from AI-driven software development workflows. The company also indicated that it would place a stronger emphasis on research and development as part of its long-term strategy.
Tuesday, GitLab CEO Bill Staples explained that the rapid growth of agentic AI systems is creating unprecedented pressure on developer infrastructure. According to Staples, these new workloads are operating at a scale that many existing software development platforms were never designed to accommodate.
The challenge is not limited to GitLab. Competitor GitHub has also faced difficulties managing a surge in AI-generated activity, including increased code submissions and automated workflows that have, at times, impacted service reliability and uptime.
“Agents work at machine scale, and they’re pushing competitors to the brink,” Staples said. “This quarter, we began a generational rebuild of git to support the scale and features required for 100x growth. This is a scale requirement that didn’t exist before and has become a real pain point for every team on their agentic journey.”
Staples revealed that GitLab has partnered with an unnamed artificial intelligence laboratory to redesign and modernise portions of its infrastructure specifically for AI-related workloads. The company is also building new application programming interfaces (APIs) designed to help AI agents efficiently store, access, and retrieve context, including software code and development data.
In addition, GitLab is investing in orchestration technologies intended to improve collaboration between human developers and AI agents. The company is developing a dedicated context layer and integrating governance capabilities directly into its platform to help organisations manage increasingly complex AI-assisted software development environments.
GitLab joins a growing list of technology companies that have announced workforce reductions while simultaneously increasing investments in artificial intelligence. Companies including Intuit, Amazon, Block, Cisco, Cloudflare, Meta, Microsoft, and Oracle have all undertaken significant layoffs while citing AI-focused initiatives as a key strategic priority.
According to data from Statista, more than 100,000 technology sector jobs have already been eliminated this year. If the current pace continues, total layoffs could surpass levels recorded in both 2024 and 2025.
The trend has become increasingly common across the industry. Many technology companies are reporting strong financial performance while reducing headcount, often describing artificial intelligence as both a driver of future growth and a reason for organisational restructuring.
At the same time, many of these businesses continue to benefit from rising demand for AI-related products, services, and infrastructure. GitLab’s latest financial results reflect that broader industry momentum.
On Tuesday, the company reported first-quarter revenue of $264 million, representing a 23% increase compared with the same period a year earlier. GitLab also posted gross margins of 88%, highlighting the profitability of its software business despite ongoing investments in infrastructure and platform development.
As part of the restructuring effort, the company expects to incur between $30 million and $35 million in related expenses.
GitLab’s workforce reduction underscores the broader transformation underway across the software industry as companies adapt their products, infrastructure, and organisational structures to meet the growing demands of AI-powered development. While the company is reducing headcount in certain areas, it is simultaneously investing heavily in the systems and technologies it believes will be required to support the next generation of AI-assisted software engineering.
As agentic AI becomes more deeply embedded in development workflows, GitLab is positioning itself to serve organisations that increasingly rely on autonomous systems capable of generating code, analysing projects, and collaborating with human engineers at a scale that was previously unimaginable.
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