AI Infrastructure2026-05-15TechCrunch AI

Cisco Cuts 4,000 Jobs to Invest More in AI

Cisco Systems has announced a significant workforce reduction of nearly 4,000 employees, a move the networking giant says is necessary to redirect resources toward artificial intelligence development. Despite reporting what CEO Chuck Robbins described as 'record quarterly revenue,' the company is proceeding with its latest round of layoffs, continuing a pattern of restructuring that has become familiar in recent years. The job cuts represent roughly 4% of Cisco's global workforce. The company framed the decision as a strategic reallocation of capital, with savings from payroll being funneled into AI-related initiatives, including infrastructure for AI workloads and AI-powered networking solutions. This mirrors a broader industry trend where major technology firms are aggressively pivoting toward AI, often at the expense of traditional headcount. Cisco's financial performance remains strong by conventional metrics, with the company posting robust revenue figures that exceeded analyst expectations. However, the disconnect between record earnings and mass layoffs has reignited debates about corporate priorities in the age of AI. Critics argue that companies are using AI as a justification for cost-cutting, while proponents insist that survival in the rapidly evolving tech landscape demands difficult trade-offs. The layoffs come as Cisco faces increasing competition from both established rivals and AI-native startups. The company has been working to transform itself from a hardware-centric networking provider into a software and services powerhouse, with AI playing a central role in that vision. Cisco has been investing heavily in AI-powered cybersecurity, observability platforms, and networking automation tools. For affected employees, Cisco is offering severance packages and career transition support. The company has not specified which departments will see the deepest cuts, but industry analysts expect the reductions to be concentrated in legacy hardware divisions and administrative roles, while AI-focused teams are likely to be expanded. This development underscores a uncomfortable reality for the tech workforce: even companies reporting record profits are not immune to the AI-driven restructuring wave sweeping Silicon Valley and beyond.

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