Cisco Cuts 4,000 Jobs to Fund AI Despite Record Revenue

Summary: Cisco confirmed on May 13, 2026 that it would cut about 5% of its workforce, just under 4,000 roles, while reporting fiscal Q3 revenue and profit above expectations. CEO Chuck Robbins framed the move as restructuring costs to fund AI use and cybersecurity. The article compares the choice with AI-linked cuts at financially healthy Cloudflare and General Motors.

Cisco picked Wednesday, May 13, 2026 — the day the fiscal third-quarter numbers came out — to confirm a layoff plan covering some 5% of the workforce (just under 4,000 roles). In a blog post published that day, CEO Chuck Robbins leaned on the phrases “record revenue” and “double-digit growth,” presenting the layoffs as a way to rework how the company structures costs, steering money toward cybersecurity and AI.

What makes the move unusual is its backdrop: that quarter, revenue and profit alike came in ahead of expectations. No distress is forcing this company to shrink. A profitable business is trimming headcount by choice, and Zack Whittaker at TechCrunch squeezed both facts into one headline — “record quarterly revenue” next to the loss of close to 4,000 jobs.

A Record Quarter — and 4,000 Fewer Jobs

The raw figures first: close to 4,000 roles, about 5% of the employee base, and no particular departments called out. Cisco’s own description is a remade “cost structure.” The financial picture reads the opposite way — revenue for fiscal Q3 came in above expectations, and so did profit, with Robbins calling the quarter a record.

There is history here as well. Across 2024, Cisco ran two distinct layoff rounds that touched thousands of employees, and 2025 brought the removal of more than 150 jobs. What happened in 2026 makes the third such adjustment inside three years — with one new element: this time, AI is named outright as the reason.

AI and Cybersecurity: Where the Savings Go

The statement from Robbins routes the fresh investment along two tracks — AI, plus cybersecurity. For AI, the official language speaks of investing “in our employees’ use of AI across the company” — a reference to working AI into internal workflows rather than only the roadmap for what it ships to customers.

Security, meanwhile, carries its own backlog of unfinished business. TechCrunch’s account recaps the recent record: since 2023, hackers have exploited several security flaws across Cisco’s router and firewall lines, among them intrusions reaching business customers as well as U.S. government networks, while a 2025 incident leaked customers’ personal data through voice phishing. Channeling the payroll savings into security work is, for any networking vendor, at once a market wager and a long-overdue cleanup.

Cloudflare and GM Ran the Same Play

Widen the view and Cisco has company. Cloudflare and General Motors had each announced comparable AI-linked layoffs just days earlier, and neither was financially weak. That is the upside-down logic of 2026’s big-tech restructurings: the cuts are not driven by a cash crunch — budget is being moved on purpose, out of payroll and toward AI spending. It is the wave our 2026 opening outlook already charted (see /blog/ai-2026-opening-outlook/).

One pressure is shared across 2026 by companies in the cloud and network-infrastructure business: AI capital spending is bearing down on the cost structure already in place, and layoffs act as the quickest lever when that budget has to move.

Executive Pay and the Optics Problem

There is a sore spot as well. SEC filings show Robbins lined up to collect executive pay above $52 million for 2025. Asked by TechCrunch whether Robbins would trim his own pay, a Cisco spokesperson would not add to Robbins’ statement. Record revenue, thousands of lost jobs, and a CEO paid on that scale form the exact story that invites the harshest scrutiny — the reason outlets such as Fast Company dug into the layoffs-versus-AI-bet tension in their follow-up stories.

Takeaways for Enterprise and Developer Teams

Three takeaways carry practical weight. First, IT buyers at enterprises should plan for networking vendors to keep bending their roadmaps toward the security and AI-infrastructure side, with purchasing and renewal terms shifting in step. Second, treat the phrase “invest in our employees’ use of AI” as more than rhetoric: once a company with Cisco’s scale designates the internal adoption of AI as the top expense its layoffs are paying for, budgets for company-internal AI tooling are turning into real spending — a welcome sign for teams building AI products for the enterprise. Third, if you are an engineer or operator: an “AI-related layoffs” headline is no longer reliable proof that a company is fading — read the financials to assess its health, and leave the headline out of it.