Cisco Systems is rapidly becoming one of Wall Street’s most closely watched artificial-intelligence trades, with a surge in bullish options activity signaling that investors are increasingly betting the decades-old networking giant could emerge as an unexpected winner in the next phase of the AI infrastructure boom.
Ahead of its earnings report on Wednesday, Cisco shares have climbed 15% over the past month, defying broader market volatility and drawing aggressive speculative interest from options traders searching for the next major technology breakout beyond the usual AI leaders.
The sudden enthusiasm surrounding Cisco is seen as an indication that investors are no longer focusing solely on headline AI chipmakers such as Nvidia. Instead, they are increasingly moving deeper into the infrastructure stack, targeting companies expected to benefit from the enormous networking, cloud, and data-center expansion required to support AI systems at scale.
That transition is reshaping how Wall Street values older technology firms previously viewed as mature or slow-growth businesses. Cisco, long associated with enterprise routers and networking hardware, is now attempting to reinvent itself as a software, security, and AI infrastructure company.
The options market suggests investors are beginning to believe that transformation may finally be gaining traction. More than 75,000 call options had traded in Cisco by midday Friday, compared with just 16,000 put contracts, according to market data.
The imbalance indicates overwhelmingly bullish positioning. More notably, over twice as many calls traded at the ask price or higher than at the bid, signaling traders were actively paying premiums to secure upside exposure rather than merely hedging positions. Most of the activity centered around near-the-money contracts, particularly the $100 strike call expiring May 15, which became the most actively traded contract by volume.
The $95 strike expiring the same day attracted the largest premium flows. The positioning suggests traders are anticipating a potentially sharp post-earnings move higher. Even more notable is the behavior of implied volatility, a key measure of expected future price swings.
Cisco’s implied volatility surged to 47 on Friday, its highest level in more than a year and roughly in line with the volatility levels typically associated with semiconductor stocks during the AI rally. That is a remarkable development for a company traditionally regarded as a relatively stable legacy technology name.
The rise in implied volatility alongside climbing stock prices has become one of the defining characteristics of speculative AI momentum trades. It often signals growing retail participation and increasing willingness among traders to place expensive short-term bets on rapid upside moves.
That pattern previously appeared in stocks such as Intel, which staged a dramatic recovery after years of investor skepticism. Intel shares have surged roughly 88% since bullish options activity intensified ahead of earlier earnings reports, driven by renewed optimism surrounding AI-related demand for CPUs and domestic chip manufacturing.
Cisco’s rally is evidence that investors are now broadening the AI narrative even further. The logic behind the trade is increasingly tied to the enormous infrastructure demands AI places on enterprise networks and data centers. Large language models and AI agents require massive amounts of data movement between processors, storage systems, and cloud servers. That creates surging demand not only for chips, but also for the networking architecture connecting them.
This is where Cisco hopes to reposition itself. The company has spent years attempting to reduce dependence on traditional hardware sales by expanding into software subscriptions, cybersecurity, cloud networking, and AI-enabled enterprise systems. The transformation has been gradual and, at times, questioned by investors who viewed the company as lagging behind faster-growing cloud-native rivals.
But the AI boom is potentially giving Cisco a second opening. As hyperscalers and enterprises race to build AI infrastructure, networking bottlenecks are becoming a major concern. Moving data efficiently between GPUs, CPUs, and storage systems is now viewed as critical to AI performance.
That dynamic has elevated the importance of high-speed networking and data-center architecture, areas where Cisco retains deep expertise and longstanding enterprise relationships.
The market increasingly sees AI infrastructure as extending far beyond semiconductor manufacturing. The ecosystem now includes networking equipment, optical systems, cooling technology, power infrastructure, cybersecurity, and cloud orchestration software.
Cisco is attempting to position itself at the center of several of those layers simultaneously. The company has also leaned heavily into AI-related partnerships and acquisitions in recent years, particularly around observability, cybersecurity, and enterprise networking automation.
Investors appear to be betting that Wednesday’s earnings report could provide evidence that those investments are translating into stronger growth. The broader significance of Cisco’s rally lies in what it says about the current stage of the AI cycle.
Although early enthusiasm focused overwhelmingly on the companies directly producing AI chips, investors are now searching for secondary and tertiary beneficiaries capable of monetizing the enormous infrastructure expansion taking place beneath the surface of the AI economy.
That broadening is important because it suggests markets increasingly believe AI spending will be durable and system-wide rather than concentrated in a handful of firms. At the same time, the speculative intensity surrounding options trading raises concerns about overheating across parts of the technology market.
Retail traders have increasingly gravitated toward high-volatility AI-related stocks, often using short-dated call options to amplify exposure. That dynamic can accelerate rallies rapidly but also magnify reversals if expectations are not met. The sharp swings recently seen across semiconductor and AI infrastructure stocks demonstrate how quickly momentum can shift when earnings disappoint or macroeconomic conditions deteriorate.
Following Cisco’s earnings report, investors will be looking for evidence that enterprise AI spending remains strong despite inflation concerns, elevated interest rates, and geopolitical uncertainty tied to the Middle East conflict. Any indication that corporate customers are accelerating investments in networking infrastructure, cloud systems, or AI-enabled enterprise software could boost the broader bullish AI narrative.
Conversely, weak guidance or slower spending trends could raise concerns that enthusiasm surrounding AI infrastructure stocks has outpaced underlying business fundamentals.
