Cisco announced nearly 4,000 job cuts, representing 5 percent of its global workforce, as part of a strategic pivot toward artificial intelligence investments. The San Jose networking giant reported record quarterly revenue despite the layoffs, signaling a calculated restructuring rather than financial distress.
Chief Executive Jeetu Parihar framed the cuts as necessary to reallocate resources toward high-growth AI and security markets. Cisco plans to redirect savings from the workforce reduction into R&D and go-to-market efforts for AI-driven products. The company generated record quarterly revenue, though Parihar did not disclose the exact figure in initial announcements.
This marks Cisco's latest workforce reduction in a pattern spanning recent years. The company has faced pressure to compete in emerging AI infrastructure markets while maintaining dominance in legacy networking equipment. The layoff strategy reflects a broader industry trend: tech giants eliminating positions in mature business units to fund emerging technology bets.
Cisco's networking business, historically the company's core strength, faces disruption from cloud computing and software-defined infrastructure. AI tools and security platforms represent newer revenue opportunities with higher growth potential. The company sees AI-enhanced networking as a convergence point, positioning itself between traditional infrastructure and intelligent systems.
The job cuts affect approximately 5 percent of Cisco's 80,000-person workforce globally. The company did not specify which divisions would see the largest reductions, though product engineering and sales roles typically absorb significant cuts in technology restructurings.
Parihar's messaging emphasizes growth despite headcount reduction. This narrative works for investors when a company reports record revenue. However, departing employees and remaining staff face uncertainty about future roles and organizational structure.
Cisco's move reflects a calculated bet that AI markets will grow faster than traditional networking. Whether this reallocation succeeds depends on execution. The company must ship competitive AI products