Cisco just gave the market a very clear signal: even record revenue can sit beside layoffs when management wants to move faster into AI.
Cisco did not announce job cuts from a position of weakness. It announced them on the same day it reported record quarterly revenue, raised its AI expectations, and told investors that demand for its networking technology is accelerating. That is what makes this story matter.
The company reported fiscal third-quarter revenue of $15.8 billion for the period ended April 25, up 12% from a year earlier. GAAP net income rose 35% to $3.4 billion, while GAAP earnings per share climbed 37% to $0.85. Cisco also returned $2.9 billion to shareholders through dividends and buybacks during the quarter. Then Chuck Robbins told employees the company would cut fewer than 4,000 jobs in its fiscal fourth quarter, representing less than 5% of its workforce.
That combination is uncomfortable, but it is not confusing. Cisco is showing how large technology companies are likely to behave through the AI cycle. Strong earnings are no longer a broad shield for employees. They are becoming the funding source for a sharper internal reshuffle.
Robbins framed the cuts as a decision about focus, not survival. Cisco said it will keep investing in silicon, optics, security, and the use of AI across the company. In plain English, that means some roles are being removed so that capital and attention can move toward the products most closely tied to the AI infrastructure boom.
As Network World reported, Cisco said AI infrastructure orders from hyperscalers reached $1.9 billion in the quarter and $5.3 billion year to date, enough for the company to raise its expected fiscal 2026 AI infrastructure orders to about $9 billion. Cisco also lifted its expected fiscal 2026 AI infrastructure revenue to $4 billion from $3 billion.
Those numbers are important because Cisco is not only selling into the AI buildout through a general enterprise recovery. It is trying to position itself as one of the companies that moves traffic between data centers, clusters, and enterprise networks as AI workloads grow. Networking product orders were up more than 50% year over year. Data center switching orders grew more than 40%. Campus networking orders rose more than 25%.
The old version of this story would have been simple: demand rises, revenue rises, hiring follows. The new version is more selective. Demand rises, revenue rises, and companies ask which teams deserve more resources and which ones no longer fit the next operating model. That is a harsher equation for workers, especially in mature technology companies where growth areas sit beside slower or less strategic business lines.
AI Demand Is Creating Work, But Not For Everyone
Cisco is not saying AI has made thousands of employees redundant overnight. That would be too neat. The more useful reading is that AI infrastructure demand is changing the value of different roles inside the same company. Engineers and sales teams close to silicon, optical networking, cybersecurity, automation, and large cloud customers are likely to sit closer to the new investment pool. Other functions can become easier to reduce, even while the company as a whole is performing well.
This is why the announcement landed so sharply. The company had enough confidence to guide fiscal 2026 revenue to between $62.8 billion and $63.0 billion. It had enough cash generation to keep rewarding shareholders. It had enough AI momentum to raise expectations. Yet the workforce still absorbed the adjustment.
For entrepreneurs, the lesson is not that every AI investment leads to layoffs. It is that the labor market around AI will be uneven. Some businesses will hire aggressively in specialized infrastructure, security, data, and systems roles. Others will use AI demand and AI tools to justify leaner structures. Both things can happen inside the same company at the same time.
That matters for smaller companies too. Startups often assume incumbents are slow because they carry large teams and legacy processes. Cisco is showing that incumbents are willing to cut into that structure when the market rewards speed and margin discipline. If large companies can use AI demand to refresh their product strategy and trim their cost base, startups competing with them cannot rely on corporate inertia as much as they once did.
There is also a signal for employees and founders selling talent into the market. General technical capability is still valuable, but proximity to the revenue engine matters more. In this cycle, that engine is not just AI software. It is networking, chips, optical systems, security, and the less glamorous infrastructure that lets AI services actually run at scale.
Cisco's move may look cold, but it is probably not isolated. The company has put a clean label on a wider shift across technology: AI is not simply creating a hiring boom. It is forcing companies to decide which work belongs in the next version of the business. The market will watch whether Cisco's bet produces sustained growth, but workers should watch something more immediate. Record results may now be the moment when management feels most able to make the hardest cuts.
Also read: Gas station tank hacks expose a familiar industrial security failure • AI exploit benchmarks put Mythos at the center of cyber startup strategy • Monad and Rain are testing stablecoin cards as real payment rails
