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Cisco to cut thousands of jobs as AI push accelerates after earnings beat

CSCO
Artificial IntelligenceCorporate EarningsCorporate Guidance & OutlookM&A & RestructuringCompany FundamentalsTechnology & InnovationManagement & Governance

Cisco reported Q3 FY2026 revenue of $15.8 billion, topping the $15.56 billion consensus, and adjusted EPS of $1.06 versus $1.04 expected. The company also said it will cut fewer than 4,000 jobs, or under 5% of its workforce, as it reallocates spending toward AI, security and networking. Cisco raised its AI order outlook to about $9 billion for FY2026 from $5 billion and lifted its AI revenue forecast to $4 billion from $3 billion.

Analysis

This is less a cost-cutting story than a capital reallocation signal: Cisco is effectively admitting that legacy enterprise networking is no longer the marginal growth engine, while AI infrastructure is. The first-order read is positive for CSCO margins, but the second-order effect is tighter positioning versus peers that still rely on broad-based hardware demand; every dollar shifted from low-return internal labor to AI capex and security should lift the quality of earnings over the next 2-4 quarters. The bigger implication is that Cisco’s AI order book is becoming a credibility test for the entire “networking picks-and-shovels” trade. If hyperscaler orders continue to convert into revenue, adjacent beneficiaries include opticals, high-speed interconnect, and switching suppliers; if not, the market will quickly re-rate this as a one-time upgrade cycle rather than a durable AI monetization stream. The risk is that AI infrastructure demand remains lumpy and concentrated, so a single quarter of order slippage would compress the multiple hard because the stock has already started to price in a strategic turn. Near term, the layoffs are a sentiment catalyst more than an operating catalyst: the market will likely reward margin discipline immediately, but the real debate is whether Cisco can sustain growth after the restructuring charge rolls off in FY2027. The contrarian read is that consensus may be underestimating how much of the upside is already embedded after the post-earnings move; if AI orders normalize from hyperscaler-driven spikes, the stock could stall despite improving earnings quality. On the other hand, if management is early in a multi-year product cycle, this could mark the start of a re-rating toward a higher-quality infrastructure compounder.

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