Cloudflare, the internet infrastructure company whose products sit behind millions of websites, announced on May 7 that it is cutting more than 1,100 employees — roughly 20% of its global workforce. The kicker: the company just reported Q1 2026 revenue of $639.8 million, up 34% year-over-year, the highest single quarter in its history.

The layoffs are not a sign of trouble. They are, according to CEO Matthew Prince, a direct result of how well things are going with AI.

“Just because you’re fit doesn’t mean you can’t get fitter,” Prince told analysts on the earnings call. It was the company’s first mass layoff in its 16-year history.

What Changed

Cloudflare says its internal AI usage increased more than 600% in the past three months alone. Employees across engineering, HR, finance, and marketing now run thousands of AI agent sessions daily to get their work done. The roles being eliminated are not primarily technical — they include support, operations, and business functions that AI has, in the company’s assessment, made redundant.

The severance packages are by most accounts generous: departing employees will receive their full base pay through the end of 2026. Prince called it “today is a hard day” but stood by the decision, framing it as building the company for what comes next.

The stock dropped sharply, between 18% and 24% depending on the session, which tells you something about how investors read the situation. The market’s concern is not the layoffs themselves but the uncertainty of what an AI-first operating model actually produces at scale when you strip out a fifth of your people.

The Pattern Forming Across Tech

Cloudflare is not alone. Meta, Microsoft, and Snap have all announced workforce reductions this year while simultaneously posting strong AI-driven revenue growth. The common thread is that AI is not replacing companies — it is letting companies do more with fewer people, particularly in roles that involve information processing, coordination, and repetitive decision-making.

What is new about the Cloudflare announcement is how explicit it is. Most companies soften the narrative. Prince said directly that AI usage caused the layoffs. That kind of public framing is rare and is likely to become a reference point in how the industry talks about this transition.

What This Means for Business

If you run a business and you are still thinking of AI as a productivity tool, something that helps your existing team work a bit faster, the Cloudflare announcement is a challenge to that framing.

Cloudflare is not a startup scrambling to survive. It is a mature, profitable infrastructure company with a 16-year track record. Its CEO is saying publicly that AI has fundamentally changed how many people they need to operate at peak performance.

For business owners, the implications run in two directions.

The first is opportunity. If you deploy AI agents thoughtfully across operations, finance, support, and internal workflows, you can likely do more with your current team or grow revenue without proportionally growing headcount. That is not a hypothetical. Cloudflare just showed the numbers.

The second is risk. Companies that do not make this shift are going to be competing against businesses that have. The cost structures are going to look very different within two or three years. A competitor running lean on AI-augmented teams will have a structural cost advantage that compounds over time.

Neither outcome requires you to eliminate people indiscriminately. But it does require a serious, honest audit of where AI can handle work that humans currently do, and a plan for what to do with that capacity.

The businesses that are thinking about this now, and building the operational infrastructure to support it, are the ones that will look like Cloudflare in a few years: growing revenue with a smaller, more focused team. The ones that wait will be playing catch-up from behind.

If you are not sure where to start, that audit is exactly what Omni Advisory exists to do.