A Transformed Cisco Steps Into a Familiar Role
At Cisco Live 2026 in Las Vegas last week, Jeetu Patel took the stage as President and Chief Product Officer in front of 20,000 attendees from 75 countries and delivered on a prediction he made two years ago: that Cisco would be unrecognizable as a company. The portfolio on display made the case without needing the reminder.
The company reported record third-quarter revenue of $15.8 billion, up 12% year over year, driven by demand for AI infrastructure and networking products. The announcements at Cisco Live made a clear statement about what Cisco has become and where it is positioning itself: the infrastructure layer for the agentic era, the same role it played for the internet.
The Playbook Has Run Before
Cisco lived this transition once,. When it built the networking backbone the internet ran on, it hit a constraint that had nothing to do with technology. There were not enough engineers in the world who knew how to deploy, configure, and manage what Cisco was selling. So Cisco built the talent pipeline itself. Networking Academy launched in 1997 with 64 institutions across seven U.S. states. It has since reached 28 million students across 195 countries. The CCNA, first awarded in 1998, became the industry benchmark for network engineering. Cisco did not wait for the talent market to catch up. It created the talent market.
The same logic is now being applied to AI. Cisco has committed to providing AI and digital skills training to one million student participants in the United States over the next four years, running from the beginning of fiscal 2026 through the end of fiscal 2029. The certification portfolio has been rebuilt accordingly. The CCNA v2.0 blueprint is organized around four pillars: network infrastructure, troubleshooting and problem-solving, a security-first mindset, and understanding the role of AI in network management and operations. AI literacy is now treated the way networking and cybersecurity once were: as a baseline competency, not a specialization.
This is a strategic investment. Cisco needs the people who will deploy its AI infrastructure to know how to use it. Enterprises need to trust that those people are qualified. Cisco is building both sides of that equation simultaneously, as it did with the internet generation.
The Infrastructure Argument
AI agents generate 450% more network traffic per task than a human performing the same work, and AI traffic overall is expected to triple in the next three years. The network is the constraint of this transition, not a background utility. Cisco Cloud Control is a new management platform bringing together networking, security, observability, and collaboration under a single interface, built for an environment where AI agents operate continuously across enterprise systems and need to be managed, secured, and audited in real time. Cross-domain telemetry sits at its core: data flowing across any connected system is compiled and viewable in one place, so humans and agents can act on coordinated, contextual information to manage uptime, control agent behavior, and prevent token overspend.
Hybrid Mesh Firewall extends unified protection across networks, applications, and both Cisco and third-party firewalls, designed to limit the blast radius in an environment where AI agents have extended the security perimeter and can introduce attack vectors at machine speed. Patel framed the underlying challenge as an “AI trust deficit,” the gap between what enterprises want to do with AI and what they currently feel confident deploying. The full portfolio is structured around closing it.
The Leadership Structure That Made This Possible
Patel’s consolidation of product strategy under one role is visible in what was announced last week. Networking, security, observability, and collaboration are no longer separate conversations with separate roadmaps. They are one platform. Liz Centoni as EVP and Chief Customer Experience Officer leads the organization responsible for ensuring enterprises can realize what Cisco is selling. Her keynote brought on stage two customers operating in environments where the margin for error is essentially zero. For GEODIS, Cisco IQ replaced guesswork with full visibility across 12,000 devices and a clear end-of-life roadmap. For GlobalFoundries, where maintenance windows are not an option, Cisco IQ cut vulnerability assessment from days to hours. Both cases made the argument that an integrated platform delivers where point solutions cannot.
The through-line from 1987 to 2026 is consistent. Cisco has understood, at each major infrastructure inflection, that the technology alone is insufficient. You need the infrastructure. You need the security model. You need the platform to manage it at scale. And you need the people qualified to operate all of it. Cisco built that full stack for the internet era, including the workforce development program when the market could not supply the talent on its own. The conditions are the same now. The difference is that Cisco arrives at this moment with a leadership structure finally organized to execute it as a single coherent strategy rather than a collection of business units making separate bets.