Cisco (CSCO) Stock: Rises after revenue beat and hyperscaler demand rises

top level domains;

• Cisco stock rose after posting strong earnings driven by AI infrastructure and superior demand growth.
• The company raised its full-year AI target as hyperscaler orders reached $5.3 billion and continued to accelerate.
• Revenue and profits exceeded expectations, supported by demand for cloud and networking devices.
• Cisco is restructuring its workforce and strategy to focus on artificial intelligence, cybersecurity and cloud infrastructure growth.

Shares of Cisco Systems (NASDAQ: CSCO) rose in after-hours trading after the networking giant Delivered Stronger-than-expected quarterly results and raised its future outlook, supported by accelerating demand from AI infrastructure and hyperscale cloud customers. The stock reaction reflects renewed investor confidence in Cisco’s ability to reposition itself as a primary beneficiary of AI-driven data center construction.

The company reported revenue of about $15.8 billion for the quarter ended April 25, representing a 12% increase year over year. Net income rose sharply to $3.37 billion, compared to $2.49 billion in the same period of the previous year. The results beat Wall Street expectations, which had expected revenue of $15.82 billion and adjusted earnings of $1.07 per share.

Cisco’s upbeat performance comes at a time when global cloud providers are aggressively expanding infrastructure to support AI workloads, especially large language models and generative AI applications.

Demand for Hyperscaler accelerates expansion

Highlighted in the report is Cisco’s rapidly growing exposure to large cloud service operators such as Amazon Web Services. Microsoft AzureAnd Google Cloud. The company revealed that its AI infrastructure and hyperscaler orders have already reached $5.3 billion so far this year.

Cisco Systems, Inc., Cisco

This increase in demand underscores Cisco’s growing importance in the AI ​​ecosystem, especially as cloud providers race to expand data center capacity and improve network efficiency. Cisco also raised its full-year AI infrastructure target to $9 billion, which represents a significant increase from the previous estimate of $5 billion.

This shift reflects a broader shift in how cloud computing is evolving. As AI models become more complex and computationally demanding, networking platforms that connect GPUs, storage, and servers become increasingly important.

Strategic shift towards artificial intelligence infrastructure

ciscoChina’s recent gains are not accidental, but rather the result of a long-term strategic shift that began several years ago. Since 2018, the company has restructured its business model to better align with the demand for cloud-first, AI-driven infrastructure.

One of the most significant changes was Cisco’s move toward retail, selling hardware and software components separately to better meet the needs of large-scale customers. This approach allows for greater flexibility and scalability, both of which are essential for modern AI data centers.

The introduction of Silicon One, Cisco’s family of programmable networking chips launched in 2019, has also played a key role in this transformation. These chips are designed to handle high-throughput, low-latency workloads that are essential for AI training and inference tasks.

Expectations strengthen despite restructuring

Along with its earnings beat, Cisco provided an upbeat outlook for the upcoming quarter. The company expects fiscal fourth-quarter revenue to range between $16.7 billion and $16.9 billion, with adjusted earnings expected to range between $1.16 and $1.18 per share. These expectations exceeded analysts’ expectations, which strengthened confidence in sustainable demand growth.

However, the company also confirmed that it will reduce its workforce by less than 4,000 employees, or less than 5% of its total employees. The layoffs, scheduled to begin May 14, are part of a broader restructuring effort aimed at reallocating resources toward high-growth areas such as artificial intelligence infrastructure and cybersecurity.

Despite near-term margin pressure due to higher component costs, especially memory chips, Cisco responded by adjusting pricing strategies and renegotiating terms with partners and customers.

The company is also exploring new opportunities in sovereign cloud infrastructure and AI-powered communications services, with the aim of helping service providers monetize AI workloads more effectively.