Cloudflare has announced its first large-scale workforce reduction, revealing plans to cut nearly 1,100 jobs — around 20% of its staff — even as the company reported record financial results. CEO Matthew Prince said the layoffs were largely driven by rapid improvements in AI-powered efficiency across the company’s operations.
According to the company, internal AI usage has surged by more than 600% over the last three months, significantly changing how teams operate across engineering, finance, HR, marketing, and customer support. Cloudflare stated that many tasks previously handled manually are now being automated or accelerated through AI systems, reducing the need for certain support and operational roles.
Despite the layoffs, Cloudflare reported strong first-quarter financial performance. The company posted revenue of $639.8 million, representing a 34% year-over-year increase and surpassing analyst expectations. Cloudflare also raised its full-year revenue guidance, highlighting continued demand for its cybersecurity, networking, and AI infrastructure services.
However, investors reacted negatively to the announcement. Cloudflare’s stock dropped sharply in premarket and after-hours trading after the company issued softer-than-expected growth forecasts and revealed declining gross margins linked to increasing AI infrastructure expenses. Analysts also expressed concerns that the large workforce reduction could impact short-term growth and customer support capabilities.
The company explained that the restructuring is part of its transition into what it described as the “agentic AI era,” where AI agents and automation systems increasingly handle repetitive workflows and operational tasks. Matthew Prince stated that “the way we work at Cloudflare has fundamentally changed,” emphasizing that AI is now becoming deeply integrated into the company’s internal processes.
Cloudflare’s decision reflects a broader trend across the technology industry, where companies are using AI not only as a productivity tool but also as a direct replacement for certain categories of work. The announcement has sparked debate across the tech sector regarding the long-term impact of AI-driven automation on employment and workforce restructuring.
