Cloudflare cut 20% of its staff after internal AI usage jumped 600% — and 55% of hiring managers now say AI will be the top driver of layoffs in 2026

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Cloudflare was not struggling when it eliminated roughly 1,100 jobs in May 2026. The company had just posted record quarterly revenue of $639.8 million, a 34% jump from the same period a year earlier. But according to CEO Matthew Prince and co-founder Michelle Zatlyn, the internet security giant’s own AI tools had become so capable, so quickly, that the work those employees once did no longer required human hands.

The layoffs, representing about 20% of Cloudflare’s workforce, mark one of the most explicit cases yet of a profitable company cutting staff not because of financial pressure but because of what leadership described as productivity displacement by artificial intelligence.

What Cloudflare described as a 600% surge in AI usage

In an internal email published on the company blog, Prince and Zatlyn wrote that AI usage across Cloudflare had increased by more than 600% over the previous three months, with thousands of AI-agent sessions running daily across business functions. The company did not define what constitutes an “AI-agent session” or provide a baseline for the metric, and the figure has not been independently verified.

Prince and Zatlyn framed the restructuring not as a reaction to a downturn but as a deliberate shift toward what they called an “agentic AI-first operating model,” one in which software agents handle tasks that previously required dedicated teams. In practical terms, that means Cloudflare is betting that AI tools can now perform routine engineering, operations, and support work at a level that makes certain human roles redundant.

The company’s SEC filing confirmed the scope: approximately 1,100 positions eliminated, with expected restructuring charges of $140 million to $150 million covering severance, benefits, and equity-related costs. That works out to roughly $127,000 to $136,000 per affected employee in total charges, though the company has not disclosed individual severance terms. A separate earnings press release reiterated the revenue figures and workforce reduction.

The leadership letter did not specify which departments were hit hardest, though it described AI agents operating “across functions.” TechCrunch reported that this was Cloudflare’s first mass layoff, though the company had let go of a smaller group of roughly 80 employees in early 2024.

Why this layoff carries a different signal

Between 2022 and 2023, tens of thousands of tech workers lost their jobs as companies corrected pandemic-era overhiring and braced for a possible recession. Those cuts were largely about cost control. Cloudflare’s cuts carry a different message: the business is growing, margins are healthy, and the company is still investing heavily, just not in the same number of people.

That distinction matters because it reframes the layoff from a cyclical event into a structural one. As Prince and Zatlyn wrote in their blog post, the company is “building for the future” around AI agents rather than planning to refill the eliminated positions. When a company earning record revenue tells regulators it is eliminating roles because AI agents can do the work, the SEC filing itself functions as a public declaration that those roles are not expected to return.

Cloudflare is not the first tech company to cite AI when reducing headcount. Duolingo disclosed in January 2025 that it had replaced contract workers with AI systems, and Klarna’s CEO said in late 2024 that AI was doing the work of 700 customer service agents. But the scale and transparency of Cloudflare’s move set it apart. Few companies have publicly tied a 20% workforce reduction to an internal AI-adoption metric while simultaneously reporting their strongest quarter on record.

Hiring managers see the same shift accelerating

Cloudflare is not operating in isolation. Survey data collected over the past year suggests that a growing share of U.S. employers view AI as a direct driver of workforce reduction, not just a productivity tool.

A September 2025 Resume.org poll of 1,000 U.S. business leaders found that six in 10 companies planned layoffs in 2026, citing economic uncertainty, trade and tariff concerns, and AI adoption as primary reasons. By December 2025, a follow-up Resume.org survey of 1,000 U.S. hiring managers, reported by HR Dive, found that 55% expected layoffs at their companies, with AI ranking as a top driver alongside reorganization and budget constraints. (HR Dive covered the Resume.org data rather than conducting independent research.)

Those survey numbers align with broader labor-market signals. The U.S. Bureau of Labor Statistics Job Openings and Labor Turnover Survey (JOLTS) showed that information-sector job openings declined steadily through late 2025 and into early 2026, consistent with employers pulling back on roles they believe automation can fill. While JOLTS data does not isolate AI as a cause, the directional trend matches what the Resume.org respondents reported.

The pattern extended to hiring pipelines as well. A February 2026 Resume.org survey of nearly 1,000 business leaders found that one in five companies had stopped hiring entry-level workers entirely because AI tools could handle the tasks those roles were designed to fill. For recent graduates and early-career professionals, that finding points to a narrowing on-ramp into the workforce at the very moment they need it most.

These surveys are self-reported polls conducted by a job-services platform, not peer-reviewed research, and they should be read with that limitation in mind. Still, the consistency of the results across multiple rounds, and the alignment with both federal labor data and actions companies like Cloudflare are actually taking, gives the pattern real weight.

The open question: does the bet actually work?

Cloudflare is wagering that AI agents can maintain or improve output with a significantly smaller human workforce. If that holds over the coming quarters, the company will have demonstrated a template other firms are likely to follow. If quality, reliability, or innovation suffer, the restructuring could become a cautionary tale about moving too fast on automation.

There are reasons for skepticism. AI agents in their current form still struggle with ambiguous problems, novel edge cases, and the kind of cross-functional judgment calls that experienced employees handle routinely. Cloudflare’s own blog post acknowledged that the transition would require “new ways of working,” without detailing what happens when the AI tools fall short.

As of late May 2026, few if any affected Cloudflare employees have spoken publicly about the cuts, and independent workforce analysts have not yet published assessments of the restructuring’s likely impact. Until those perspectives emerge, the only detailed account of why 1,100 people lost their jobs comes from the company that eliminated their positions.

What workers at other companies should be watching

For the millions of knowledge workers at other firms, Cloudflare’s decision is a data point that keeps getting harder to dismiss. The company did not cut jobs because revenue was falling or because investors were demanding austerity. It cut jobs because its leadership concluded that software could do the work faster and cheaper.

That logic, once it takes hold at one high-profile company, tends to spread. The question facing workers in similar roles elsewhere is no longer whether AI-driven layoffs will happen at profitable companies. After Cloudflare, the question is how soon.

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