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

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

Cisco reported Q3 FY2026 revenue of $15.8 billion, above 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 redirects spending toward AI, security and networking. Cisco now expects about $9 billion in FY2026 AI orders and $4 billion in AI segment revenue, while restructuring charges could reach $1 billion.

Analysis

This is less a pure earnings beat than a capital allocation regime change: Cisco is signaling that margins will increasingly be protected by mix shift and cost discipline, not broad-based demand expansion. The immediate market reaction likely reflects relief that AI infrastructure is translating into real orders, but the more durable implication is that Cisco is trying to re-rate itself from a mature networking vendor into a critical picks-and-shovels beneficiary of enterprise AI spend. That matters because the AI capex cycle is still concentrated in hyperscalers; if Cisco is now seeing order visibility extend into FY2026, it suggests the spend is beginning to diffuse into adjacent infrastructure layers. The second-order effect is pressure on mid-tier networking, security, and legacy IT services vendors whose value proposition is more labor-intensive. A restructuring of this size is usually a signal that management sees enough productivity gains from software, automation, and AI-assisted operations to defend margins without preserving the old cost base. Over the next 1-2 quarters, that can widen operating leverage and support estimates, but it also raises the bar: any slip in AI order conversion or enterprise refresh demand will be punished because the story has become more dependent on execution and less on diversification. The contrarian read is that the stock may already be pricing in too much of the AI upside while underpricing integration risk. If AI infrastructure orders remain concentrated in a handful of large customers, the revenue quality may be less durable than the headline growth implies, and the one-time restructuring charge will mask future earnings sensitivity if demand normalizes. The key catalyst over the next 60-90 days is whether management can show that AI bookings are broadening beyond hyperscalers and pulling through software/security attach rates rather than merely replacing slower legacy hardware revenue.