Cisco is being rewarded for the same AI shift that is pushing it to cut jobs. That is the uncomfortable shape of the infrastructure boom.
Cisco gave Wall Street almost exactly what it wanted: record quarterly revenue, a much larger AI order target, and a restructuring plan that moves money toward the parts of the business investors now care about most. The stock jumped sharply after the update, because the market heard a simple message. Cisco is no longer just trying to defend its legacy networking franchise. It wants to be paid like an AI infrastructure company.
The harder part is that Cisco is making that case while cutting fewer than 4,000 jobs in its fiscal fourth quarter, less than 5 percent of its workforce. According to Reuters, the company described the move as part of a restructuring aimed at shifting investment toward artificial intelligence and related growth areas. That is the tradeoff inside the current tech cycle. Strong demand is not protecting every role. In some companies, it is becoming the reason to redraw the organization faster.
Cisco's numbers explain why investors were willing to look past the cuts. Revenue in the third quarter reached a record $15.8 billion, up 12 percent from a year earlier. GAAP earnings per share rose 37 percent to $0.85, while non-GAAP earnings came in at $1.06. Product orders rose 35 percent, and even excluding hyperscalers, orders were up 19 percent. This was not a narrow earnings beat resting on one hot product line.
The AI figure was the headline. Cisco booked $1.9 billion in AI infrastructure orders from hyperscalers during the quarter, bringing its fiscal year-to-date total to $5.3 billion. It also raised its full-year AI infrastructure order expectation to $9 billion from $5 billion. That is a major reset in a market where investors have often treated Cisco as a slower-moving incumbent rather than a direct beneficiary of the AI buildout.
For much of the AI trade, the focus has been on processors. Nvidia became the symbol of the boom because models need enormous amounts of compute. But AI data centers are not built out of chips alone. They need high-speed switching, optics, routing, security and the network fabric that lets thousands of systems work together without turning into expensive idle capacity.
That is where Cisco is trying to make its case. The company said data center switching orders grew more than 40 percent year over year, while networking product orders grew more than 50 percent. Those numbers matter because hyperscalers and large enterprises are now spending on the less glamorous parts of AI infrastructure. The market is beginning to recognize that the plumbing can be just as important as the engine.
Cisco also raised its fiscal 2026 revenue outlook to between $62.8 billion and $63.0 billion, up from its prior forecast of $61.2 billion to $61.7 billion cited in reports. It now expects about $4 billion in fiscal 2026 revenue tied to hyperscaler AI infrastructure, and finance chief Mark Patterson said on the earnings call that at least $6 billion in fiscal 2027 AI hyperscale revenue was a reasonable expectation. That gives investors a bridge from orders to actual sales, which is what separates a good AI story from a durable business line.
Why layoffs still come with record revenue
The job cuts are not a sign that Cisco lacks demand. They are a sign that management wants a different cost structure for where it believes demand is going. Chief Executive Chuck Robbins told employees that Cisco would reduce roles in some areas while making strategic investments in silicon, optics, security and the use of AI across the company. In other words, the company is not shrinking evenly. It is moving people and capital toward the places where it believes future margin and growth will sit.
That does not make the human side less stark. Cisco had about 86,200 employees as of July 26 last year, and a reduction of nearly 4,000 people is not a rounding error for the workers affected. The company said notifications would begin on May 14 and continue globally under local laws, with support including pro-rated fiscal 2026 bonuses, placement services and access to Cisco U courses and certifications. Those details matter, but they do not change the broader signal.
The signal is that AI is not just creating new demand. It is changing which parts of old organizations are considered essential. A company can be growing revenue, raising guidance and returning billions to shareholders while still deciding that some teams no longer fit the next version of the business. That is becoming a familiar pattern across large technology companies, and Cisco's update puts it in very plain view.
For readers watching the market, the practical lesson is clear. The AI infrastructure boom is spreading beyond the obvious winners, but it is also becoming more demanding. Investors will reward companies that can show real orders, believable revenue conversion and cost discipline. Employees and operators should watch the same signals from the other side. In this cycle, the companies closest to AI demand may still be the ones most willing to restructure around it.
Also read: SK Hynix is turning AI memory into South Korea's trillion-dollar trade • China's AI listings face a liquidity test in July • TSMC says AI will push the chip market past $1.5 trillion by 2030
