For nearly four decades, Cisco has sat at the plumbing layer of the internet — the routers, switches, and software that quietly move the world’s data from one place to another. As the digital economy shifts from web pages to AI workloads, that plumbing is being rebuilt in real time. Cisco’s recent moves show a company betting that the next era of connectivity will be defined less by bandwidth alone and more by intelligence, security, and scale working together.
From Networking Company to AI Infrastructure Builder
Cisco’s core business has always been connecting things — data centers, campuses, branch offices, and increasingly, machines talking to machines. But the rise of generative and agentic AI has forced a rethink of what “connectivity” even means. Training and running large AI models requires networks that can move enormous volumes of data between GPUs with almost no latency, and that has pushed Cisco deeper into the data center.
<cite index=”1-1″>Cisco’s wide-ranging partnership with NVIDIA reflects this shift toward AI-ready infrastructure and connectivity.</cite> <cite index=”1-1″>After refreshing its core switching and router portfolios in 2025, Cisco introduced the Cisco 8223, a high-end 51.2 Tbps router and chip built for distributed AI workloads.</cite> <cite index=”1-1″>It also expanded its NVIDIA collaboration through joint offerings such as the Cisco N9100 series data center switch — a 64-port, 800Gb Ethernet switch powered by NVIDIA’s Spectrum-4 ASIC, designed for AI, high-performance computing, and cloud data centers that demand ultra-low latency.</cite>
This matters beyond the spec sheet. It signals Cisco positioning itself not just as a networking vendor but as a foundational layer for the AI buildout happening across enterprises and hyperscalers alike, an ambition laid out in detail on Cisco’s AI Networking in Data Centers solutions page.
Betting on Ethernet’s Expansion
One of the more interesting industry dynamics playing out right now is the competition between networking standards for AI data centers. <cite index=”2-1″>Efforts to extend Ethernet’s dominance are gaining traction, with scale-up emerging as a new battleground where Ethernet is expanding into territory historically held by NVLink.</cite> According to Dell’Oro Group analysis, <cite index=”2-1″>Ethernet is now competing not only with NVLink but also with UALink in this scale-up space, and 2026 is expected to bring a wave of vendor announcements targeting both opportunities.</cite> <cite index=”2-1″>Scale-up represents what could be the largest total addressable market expansion the networking industry has seen.</cite>
Cisco’s heavy investment in Ethernet-based, Silicon One-powered switching puts it in a strong position to capture that expansion — a reminder that the infrastructure choices being made today will shape how AI systems are built for years.
Connectivity Beyond the Data Center: IoT and the Edge
Cisco’s vision of connectivity doesn’t stop at hyperscale data centers — it extends out to the billions of devices at the network edge. At Mobile World Congress 2026, the company doubled down on its Internet of Things strategy. <cite index=”3-1″>Its SGP.32 partnership with Tele2 IoT and IDEMIA positioned Cisco as a leader in next-generation IoT connectivity standards, at a moment when operational simplicity and global scale have become prerequisites rather than extras.</cite>
This is a real pain point for many organizations. <cite index=”3-1″>A Frost & Sullivan survey of global IT decision-makers found that roughly a quarter of IoT organizations struggle to scale their IoT solutions</cite> — often because of fragmented platforms and the complexity of managing multiple vendors, technologies, and IT/OT integration at once. By unifying wireless infrastructure with AI-enhanced connectivity management, Cisco is trying to turn that complexity into a single, manageable platform rather than a patchwork of point solutions, an approach detailed through platforms like Cisco IoT Control Center.
AI as the Operating Layer, Not Just the Workload
It’s worth noting the two-way relationship between Cisco and AI. The company isn’t only building networks for AI — it’s building networks run by AI. <cite index=”5-1″>Cisco has introduced a unified platform offering one shared view across every IT domain, along with autonomous capabilities that diagnose and fix issues across an entire network with greater accuracy and trust, and tools for building custom AI agents that connect to existing tools and deploy across the stack.</cite>
This points to where enterprise networking is heading: fewer dashboards and manual troubleshooting, more self-healing systems that catch and resolve problems before a human ever sees an alert. For network operators managing infrastructure that spans continents, that kind of automation isn’t a convenience — it’s becoming a necessity. Cisco’s products page gives a fuller picture of how networking, security, observability, and collaboration tools are being pulled into this single operating model.
Optical Networks and the Physical Layer
None of this works without the physical fiber that carries traffic across oceans and continents. Cisco remains active in the optical networking community, participating in events like <cite index=”4-1″>OFC, the premier global conference for optical communications and networking, where researchers and industry leaders share innovations shaping the future of optical networks, data centers, and fiber connectivity — including emerging areas like AI in optical networking and quantum networking.</cite> It’s a reminder that “the cloud” is, underneath everything, a physical network of glass and light, and Cisco’s role spans from that fiber up through silicon, software, and now AI agents, a full-stack story the company tells in more depth on its About Us page.
What This Means for the Digital Future
Pulled together, Cisco’s current strategy tells a consistent story:
- Infrastructure for AI — high-capacity routers and switches purpose-built for distributed AI training and inference.
- Standards leadership — pushing Ethernet into new territory as AI networking needs multiply.
- Edge and IoT scale — simplifying connectivity for the industrial and mobile devices that sit outside the data center.
- AI-run networks — using automation and agentic AI to manage the very networks that power everything else.
- The physical layer — continued investment in the optical and silicon foundations that make global connectivity possible at all.
The throughline is that connectivity is no longer just about linking two points faster. It’s about building a layered, intelligent system — from fiber to silicon to software agents — that can keep pace with how quickly AI is reshaping demand. Whether Cisco fully delivers on that vision will play out over the next several years, but its current moves make clear the company sees the digital future as something it intends to keep building, not just connect to.
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