思科因上调预期及裁员聚焦AI,股价创互联网泡沫时期以来最大涨幅
Cisco Surges Most Since Dot-Com On Raised Outlook, AI-Focused Job Cuts

原始链接: https://www.zerohedge.com/markets/cisco-surges-most-dot-com-raised-outlook-ai-focused-job-cuts

思科系统(Cisco Systems)股价飙升超过16%,创下自2002年以来的最佳单日表现并达到历史新高。此前该公司公布的第三季度财报表现强劲,超出分析师预期。在人工智能(AI)需求空前激增的推动下,思科将其2026财年的超大规模数据中心AI订单预期提高至90亿美元,几乎翻了一番。 此次业绩凸显了整个行业的重大转型:随着数据中心为防止AI瓶颈而优先考虑高速连接,思科正战略性地将资本重新配置到芯片和光纤等基础设施领域。为资助这一转型,思科宣布进行重组,裁员约4000人(占员工总数的5%以下)。 分析师认为,此举印证了主要超大规模云厂商在AI资本支出上的持续投入,打破了关于“AI泡沫即将破裂”的担忧。通过同步削减劳动力成本并提高业绩指引,思科成为了当前“超大规模厂商策略”的典型代表——即通过裁员来优先保障对AI驱动网络的大规模投资。随着第三季度业绩和第四季度预测均超过市场预期,该公司已稳固了其作为AI规模化基础设施转型关键受益者的地位。

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原文

Cisco Systems shares posted their biggest gain since the Dot-Com boom-and-bust era after the networking giant delivered third-quarter results that beat analysts' estimates. The company also announced a workforce restructuring, aligning with a broader hyperscaler playbook that cuts labor costs and redirects capital toward AI infrastructure and data-center buildouts.

Cisco raised its fiscal 2026 outlook, guiding for $62.8 billion to $63 billion in revenue and $4.27 to $4.29 in adjusted EPS, while also issuing a stronger-than-expected fourth-quarter sales forecast.

The catalyst that sent shares into a parabolic move early in the U.S. cash session was demand for AI. Cisco boosted its expected fiscal 2026 hyperscaler AI orders to $9 billion from $5 billion, signaling stronger traction in supplying the networking infrastructure needed for data center buildouts. Shares surged more than 16%, marking their best day since May 2002.

Stock is at a record high.

UBS analyst Simon Penn summed up third-quarter results and guidance:

They reported EPS and revenue beat and Q4 guided EPS and revenue was upgraded.

Q3 EPS was $1.06 versus forecasts of $1.04 and Q3 revenue was $15.8 bn versus forecasts of $15.5 bn.

Looking forward, they increased Q4 EPS guidance to $1.16-1.18, above forecasts of $1.07. Q4 revenue guidance also beat, at $16.7-$16.9bn versus estimations of $15.82.

Cisco reported FY2026 orders from hyperscalers $9 bn, up from prior $5 bn.

CEO Chuck Robbins wrote in a blog, "The companies that will win in the AI era will be those with focus, urgency, and the discipline to continuously shift investment toward the areas where demand and long-term value creation are strongest."

"While we are reducing roles in some areas, we are making clear, strategic investments," Robbins added. That includes spending on chips, fiber optics, security, and the use of AI by its own employees, he noted.

Robbins said the company will undergo a workforce restructuring and shed fewer than 4,000 jobs, or less than 5% of the total employee base. This restructuring comes as it pivots toward data center buildouts.

Here's analyst commentary from Goldman's Nelson Armbrust:

Cisco Earnings Validate Networking is an AI Bottleneck

Drivers of the Earnings Beat : Cisco +15% pre mkt, the primary catalyst was a massive acceleration in AI infrastructure orders, which reached $1.9 billion in the quarter alone. Year-to-date AI orders hit $5.3 billion, prompting management to nearly double its full-year AI order guidance from $5 billion to $9 billion. Beyond AI, the beat was supported by a 50% year-over-year surge in networking product orders and a multi-billion-dollar campus networking refresh cycle. Additionally, Cisco announced a strategic restructuring to cut approximately 4,000 jobs (5% of its workforce) to reallocate capital toward high-growth areas like silicon, optics, and AI.

Broader Market and AI Infrastructure Implications

  • Validation of Hyperscaler Capex: Cisco's results provide a "clean" data point confirming that AI spending by hyperscalers (Meta, Microsoft, Google) is not just sustained but accelerating. This reduces fears of an imminent "AI air pocket" in capital expenditures.

  • Networking as the New AI Bottleneck: The shift in demand toward Cisco's Silicon One and Acacia optics suggests that the market is moving from a "compute-first" phase (Nvidia GPUs) to a "connectivity-first" phase, where high-speed networking is critical to prevent data bottlenecks in massive AI clusters.

Goldman's Delta One desk noted:

Cisco delivered strong guidance while continuing to cut heads… effectively reinforcing the "AI replacing labor while driving infrastructure demand" story.

Across the major hyperscalers, white-collar workers remain on edge as layoffs accelerate - from Meta's plan to cut roughly 10% of its workforce to Oracle's elimination of thousands. The pattern of behavior among hyperscalers is capital reallocation by slashing labor costs to free up more spending for AI infrastructure, with capex estimates approaching $700 billion this year. That AI-driven 

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