Cloudflare has become the latest major technology company to pair strong revenue growth with large-scale layoffs, marking how artificial intelligence is rapidly reshaping employment across Silicon Valley even as corporate earnings surge.
The internet security and cloud infrastructure provider announced Thursday that it would cut about 20% of its global workforce, eliminating roughly 1,100 jobs in what marks the first mass layoff in the company’s 16-year history.
The cuts came alongside record quarterly revenue, highlighting a growing trend across the technology sector where companies are increasingly arguing that AI-driven productivity gains justify leaner workforces.
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Cloudflare reported first-quarter revenue of $639.8 million, up 34% from a year earlier and the strongest quarterly sales performance in the company’s history. Remaining performance obligations, a closely watched indicator of future contracted revenue, climbed to more than $2.5 billion, also up 34% year over year.
Yet the company still posted a net loss of $62 million, wider than the $53.2 million loss recorded during the same period a year earlier.
Executives insisted the layoffs were not primarily about cutting costs but about restructuring the company for what CEO Matthew Prince described as the “agentic AI era,” where software agents increasingly automate tasks once performed by humans.
“We’ve never done something like this in Cloudflare’s history,” Prince said during the earnings call.
The reductions span nearly every department and geography except quota-carrying sales teams, according to CFO Thomas Seifert.
In a blog post accompanying the layoffs announcement, Prince and co-founder Michelle Zatlyn framed the move as part of a deeper organizational transformation rather than a response to financial weakness.
“Today’s actions are not a cost-cutting exercise or an assessment of individuals’ performance; they are about Cloudflare defining how a world-class, high-growth company operates and creates value in the agentic AI era,” they wrote.
The comments place Cloudflare alongside a widening list of tech firms, including Meta, Microsoft, and Amazon, that have increasingly linked workforce reductions to AI adoption.
Across the industry, executives are beginning to describe AI not merely as a product opportunity but as an operational replacement for portions of white-collar labor.
Prince offered unusually explicit details about how aggressively Cloudflare has integrated AI internally. According to the CEO, the turning point came late last year when the company observed dramatic productivity improvements across teams.
“Internally, the tipping point was last November,” Prince said. “At that point, across our teams, we began to see massive productivity gains, team members that were two, 10, even 100 times more productive than they had been before. It was like going from a manual to an electric screwdriver.”
He added that Cloudflare’s internal AI usage had increased more than 600% over the past three months alone.
The company now relies heavily on AI-assisted software development through its Workers platform, including so-called “vibe coding” tools that use generative AI to accelerate programming tasks.
Prince said virtually the entire research and development organization now uses AI-assisted coding systems, while all code deployed into production undergoes review by autonomous AI agents.
“100% of the code produced this way and deployed for use in Cloudflare’s products is now reviewed by autonomous AI agents,” he said.
The use of AI extends well beyond engineering.
“Employees across the company from engineering to HR to finance to marketing run thousands of AI agent sessions each day to get their work done,” Prince noted.
That shift is reducing the need for layers of operational and administrative support.
“A lot of the support people that provide support behind them, those roles aren’t going to be the roles that drive companies going forward,” Prince said.
The tech industry has seen a broad transformation as generative AI systems evolve from experimental productivity tools into embedded operational infrastructure. Over the past year, executives across Silicon Valley have increasingly described AI as a force multiplier capable of allowing smaller teams to perform work previously requiring much larger organizations.
At companies like Google and Anthropic, executives have openly discussed AI systems generating substantial portions of software code. AI-assisted programming has become one of the fastest-growing enterprise use cases for large language models, dramatically altering expectations around engineering productivity.
Cloudflare’s restructuring suggests those productivity gains are now beginning to materially affect staffing models. The company’s approach also reveals a notable shift in corporate rhetoric around layoffs.
Earlier waves of tech-sector job cuts following the pandemic boom were generally framed as responses to overhiring, macroeconomic uncertainty, or cost discipline. Increasingly, however, companies are presenting layoffs as structural consequences of AI automation itself.
That narrative has become politically and economically significant as concerns grow over how generative AI could reshape white-collar employment markets.
Cloudflare’s workforce reduction comes at a time when investor enthusiasm around AI remains extraordinarily strong. Companies seen as aggressively deploying AI internally are increasingly rewarded by markets for productivity improvements and operating leverage.
Prince appeared to acknowledge that logic directly when asked why such deep cuts were necessary following a strong quarter.
“Just because you’re fit doesn’t mean you can’t get fitter,” he said.
Still, Cloudflare insists the layoffs do not signal long-term workforce contraction. Prince said the company expects hiring to resume aggressively as AI-driven productivity creates demand for a different mix of employees.
“We will continue to hire people, and we’ll continue to invest in them because the people that are embracing these tools are just so much more productive than we’d ever seen before,” he said. “I would guess that in 2027 we’ll have more employees than we did at any point in 2026.”
The company ended the quarter with roughly 5,500 employees before the reductions.
The deeper question hanging over the technology sector is whether AI will ultimately create more jobs than it eliminates or whether it will permanently reduce the need for large segments of knowledge workers.