Cisco Systems just turned in the best quarter in its 41-year history, reporting $15.8 billion in revenue for fiscal Q3 2026. Within days, the company informed more than 4,000 employees that their jobs were being eliminated.
The cuts, roughly 5% of Cisco’s global workforce, were disclosed alongside the earnings report in May 2026. On the post-earnings call, CEO Chuck Robbins was direct: “We are shifting investments to the biggest growth opportunities ahead of us,” he told analysts, describing the reductions as part of a broader push to pour resources into artificial intelligence infrastructure, cybersecurity, and next-generation networking.
For the workers losing their jobs during a record-setting quarter, the calculus was stark. Cisco has decided that spending on AI will generate more long-term value than the roles being cut.
Record numbers, recurring layoffs
The $15.8 billion revenue figure, reported by the Associated Press, topped Cisco’s previous quarterly high and exceeded Wall Street consensus estimates. Product orders surged on demand for AI-ready networking hardware and security tools built for data centers running large language models. Cisco also disclosed that its AI-related product orders exceeded $900 million for the quarter, a figure Robbins called a sign of “sustained momentum.”
Yet this marks the third major round of layoffs Cisco has executed in roughly two years. The company cut approximately 4,000 positions in February 2024, then eliminated another 5,600 roles in August of that year. Combined with the latest reductions, Cisco has shed more than 13,000 jobs since early 2024, even as revenue climbed and its share price recovered from post-pandemic lows.
The pattern is not unique to Cisco. Microsoft, Google, Amazon, and Meta have all paired strong financial results with significant workforce reductions, funneling savings toward AI research, compute infrastructure, and product development. What sets Cisco apart is the consistency: every layoff round has arrived alongside earnings showing the business was growing, not contracting.
Where the money is going
Cisco’s recent SEC filings highlight AI-driven demand as a key contributor to both product and service revenue. The company has pointed to increased orders for networking equipment engineered to handle the massive data throughput that AI training and inference workloads require, along with growing subscription revenue from its security and observability software portfolio.
Concrete product bets are already in market. Cisco’s Silicon One custom chip family, designed for high-bandwidth AI networking, and its HyperShield security architecture, which uses AI to autonomously segment and protect data-center traffic, represent the kind of engineering the company is prioritizing. Both product lines require specialized talent that differs from the workforce Cisco built around traditional enterprise campus and wide-area networking.
The $28 billion acquisition of Splunk, Cisco’s largest deal ever, also reshaped the company’s cost structure when it closed in March 2024. Splunk’s data analytics platform has become central to Cisco’s pitch that it can help enterprises manage and secure AI deployments. But integrating that acquisition while simultaneously building out new AI networking products created overlapping teams and functions, which executives have cited as one driver behind the restructuring.
Cisco has not disclosed a precise dollar figure for how much of the savings from these layoffs will flow directly into AI initiatives. Robbins and CFO Scott Herren have spoken broadly about “rebalancing” the company’s investment portfolio, but no public filing breaks down how much capital is moving from legacy business units into AI-specific projects. The company has said affected employees will receive severance packages and career-transition support, though it has not detailed the terms.
What remains unclear
Several important questions remain unanswered. Cisco has not published a breakdown of which divisions, geographies, or job functions are absorbing the bulk of the 4,000 cuts. Public reporting describes reductions across multiple regions and roles, but whether the layoffs fall hardest on legacy hardware engineering, sales, overlapping Splunk integration teams, or corporate support staff has not been specified in any regulatory filing or official statement.
The timing also deserves scrutiny. Cisco has a long-standing practice of announcing restructuring alongside earnings, a pattern that likely reflects internal planning cycles and disclosure norms rather than a reaction to any single quarter’s results. Whether these cuts were mapped out months in advance or accelerated by stronger-than-expected AI demand is something the company has not addressed.
Investors and analysts have largely treated the layoffs as a positive signal, interpreting them as evidence that Cisco is serious about its AI pivot. Cisco’s stock rose in the sessions following the earnings announcement. But that market reaction does not answer the question most relevant to the 4,000 affected workers: whether their roles were genuinely redundant or whether Cisco is simply choosing to invest in a different kind of employee.
That question carries weight beyond Cisco’s campus in San Jose. Across the tech industry, workers displaced by AI-driven restructuring face a narrowing set of options. Many of the roles being eliminated, particularly in legacy infrastructure engineering and mid-level program management, are not easily replaced by equivalent positions at other companies undergoing the same transformation. Outplacement firms working with laid-off tech employees have noted that retraining timelines for AI-adjacent roles often stretch six months or longer, a gap that severance packages rarely cover in full. For the 13,000-plus workers Cisco has let go since early 2024, the company’s record revenue is an abstraction; the immediate reality is a job search in a market where the skills employers prize are shifting faster than most professionals can retool.
Why Cisco is willing to cut during a boom
Cisco is not making this shift in a vacuum. Arista Networks has been steadily gaining share in data-center networking, particularly among hyperscale cloud providers building out AI infrastructure. Juniper Networks, now part of Hewlett Packard Enterprise after a $14 billion acquisition that closed in early 2025, is positioning its own AI-native networking stack as a direct competitor. And Nvidia’s networking division, anchored by its Mellanox acquisition, has become a dominant force in the high-performance interconnects that AI training clusters depend on.
For a company that built its empire on enterprise routers and switches, the AI boom is both a massive opportunity and a genuine threat. Cisco’s traditional customers, large enterprises and service providers, are increasingly evaluating their network infrastructure through the lens of AI readiness. If Cisco cannot compete credibly in that conversation, it risks losing relevance in the market it has dominated for decades.
That competitive pressure helps explain why leadership is willing to cut thousands of jobs during a record quarter. The money is not being pocketed; it is being redirected. Whether the bet pays off depends on how quickly Cisco can ship AI-optimized products at scale, hold onto the engineering talent it needs, and persuade customers that a 41-year-old networking company can reinvent itself faster than the startups and chip giants circling the same prize.
David M. Keller is a finance writer based in Columbus, Ohio, covering personal finance and consumer-focused economic topics. He earned his degree in journalism from Ohio University and began his career reporting on local business and economic trends for a regional media outlet. Since then, he has contributed to a variety of online publications, focusing on clear, practical coverage of topics such as cost of living, debt, and everyday financial decision-making.
