The Cisco Live U.S. 2026 conference put Cisco’s strategy in sharper focus, positioning the company as the control plane for AI-driven enterprise infrastructure. That message came through in discussions of networking, security, observability and collaboration, but it was especially notable how clearly collaboration was woven into the broader portfolio story.
Moor Insights & Strategy CEO and chief analyst Patrick Moorhead’s coverage of Cisco Live is useful for its broader architectural context, as it frames Cisco’s thesis that the network is becoming the AI platform. That’s important here because the same shift is what makes Cisco’s story for its collaboration and Webex offerings feel more credible and better integrated for enterprise customers than it has in the past.
(Note: Cisco is an advisory client of my firm, Moor Insights & Strategy.)
Cisco’s Platform Story For Enterprises Is Getting Clearer
Cisco has talked about platform breadth for years, but this event showed a more coherent model for how that breadth fits together in service of the work that faces corporate IT departments every day. The company connected Cloud Control, Cisco IQ and Splunk into a shared narrative around agentic operations, digital resilience and cross-domain visibility, presenting networking, security and observability as parts of one architecture rather than adjacent product categories.
That direction lines up with what enterprise buyers are looking for. Companies are under pressure to move AI from pilots to production while managing security risks, cost and complexity. Cisco is making the case that the infrastructure layer must absorb more of that burden, and it is using its installed base, software stack and services — and its longstanding credibility with enterprise buyers — to support that claim.
The more important point is that this was the first time the “one Cisco” story really lined up as a coherent narrative that embraces the full scope of Cisco’s diverse portfolio. The portfolio felt connected in a way that has often been promised but not always clearly demonstrated, which is a meaningful signal for buyers who want fewer silos across infrastructure domains.
During his keynote, Jeetu Patel, president and chief product officer at Cisco, emphasized that, “We want to help you build AI‑ready datacenters, future‑proof workplaces and fully resilient infrastructure, and we have organized the entire company around those outcomes.” To the company’s credit, all of the product advances presented at Cisco Live — and my conversations with company leadership — backed up that lofty message.
Why Webex Matters In Cisco’s AI Strategy
Cisco’s collaboration products support the “future-proof workplaces” idea, and their importance for customers was woven into Cisco’s overall story. The Webex and contact center offerings were not presented as adjacent businesses, but as parts of the same AI, security and control-plane narrative as the rest of the portfolio.
This changes the role of collaboration within a Cisco deployment. Meetings, calls and customer interactions are not merely logistical functions to support, but sources for context and operational data that can feed automation, analytics and agentic workflows (also facilitated by Cisco, naturally) across the enterprise. In that model, Webex is assigned greater value as it connects to Cisco’s broader architecture, rather than being left to compete on its own in a crowded collaboration market that includes Microsoft Teams, Zoom and 8×8.
Cisco’s Connected Intelligence framework and Webex AI Agent Studio reinforce that point. Connected Intelligence is designed to carry context, knowledge and automation across meetings, messaging, contact center and workplace experiences, with Webex positioned as an orchestrator for those experiences. AI Agent Studio extends that model by enabling customers to build and manage AI agents across collaboration workflows and enterprise applications.
Cisco has been building AI into collaboration for years, and that foundation now has a clearer place in the company story. Capabilities such as AI-powered note-taking, translation, noise removal and meeting intelligence are already established in the portfolio, while newer offerings such as Webex AI Agent, AI Quality Management and AI Agent 360 extend intelligence across both human- and AI-led interactions.
Intelligent Devices Could Expand Cisco’s Office Footprint
Cisco’s collaboration devices make this strategy tangible in the workplace. At Cisco Live, video conferencing/collaboration devices such as Desk Pro G2, Room Kit G2 and Board Pro G3 were positioned as AI-capable systems tied directly into Cloud Control and Control Hub rather than as standalone conference-room hardware. These devices already support practical intelligence in enterprise environments, including transcription, speaker framing, camera direction and meeting insights. The next phase is broader. Cisco has an opportunity to grow its footprint — and its importance — with customers by extending that intelligence into workplace analytics, security awareness, physical operations and policy-driven automation because its networking and collaboration hardware is already common across enterprise offices.
That is where Cisco may have a differentiated opening. Much of the market still treats room systems as peripherals. Cisco is increasingly treating collaboration endpoints as part of a digital workplace model. Workspace Advisor and related Control Hub capabilities point in that direction by creating a digital representation of physical rooms — complete with data on usage, occupancy and performance that can help enterprises tune layouts and optimize hardware/software investments room by room.
This is backed by targeted improvements to specific products. Control Hub, for instance, is now able to provide real-time insights on lighting conditions. Each conference room is classified as good, dark or backlit, and those ratings can then be correlated with occupancy and complaints. This shows how Cisco is turning device telemetry into usable insights about workspace issues that affect team productivity but are often addressed ad hoc, or not at all.
There is a credible long-term path from there into richer workplace intelligence. Today, collaboration endpoints already help enterprises connect room usage, computer vision and environmental signals to decisions about employee experience, workspace design and even real estate. The next phase is to further help customers by pulling more of that data into policy-driven automation and safety and facility workflows. That opportunity builds on the intelligence that Cisco devices already provide, but it also depends on stronger governance across users, devices and AI agents — again tying back to the broader Cisco portfolio.
Identity Still Stands Between Vision And Scale
Identity is the gating factor in this next phase. As devices, users and AI agents interact more directly, enterprises will need stronger identity, authentication and access controls across network, collaboration and application layers. Cisco is extending zero trust and AI governance deeper into collaboration, including protections around meetings and content. But taking the next step of turning that into a seamless multi-domain identity fabric remains a key requirement for broader workplace automation. Cisco has many of the right identity and network controls in place, but unifying them into a consistent fabric across domains remains difficult. As many enterprise IT pros can attest, legacy directories and fragmented policies, combined with multi‑vendor environments, make that integration a challenge on both operational and technical fronts — with Cisco or any other vendor.
Cisco must also still prove that a broader platform strategy translates into lower operational complexity for customers. Enterprise buyers want simplification, and they are scrutinizing AI economics as agent usage scales across domains. The company now has a clearer story and a more connected portfolio. However, it still needs customer proof points that demonstrate how collaboration works hand in hand with network intelligence and agent governance to produce measurable results at scale.
Cisco Live 2026 showed real progress in that direction. Cisco presented a more unified architecture, brought collaboration into the center of its AI platform story and gave buyers a clearer sense of how the workplace fits into its broader infrastructure strategy. The next step is proving that this “one Cisco” vision can consistently deliver operational and business outcomes in customer environments.
Moor Insights & Strategy provides or has provided paid services to technology companies, like all tech industry research and analyst firms. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking and video and speaking sponsorships. Of the companies mentioned in this article, Moor Insights & Strategy currently has (or has had) a paid business relationship with 8×8, Cisco, Microsoft and Zoom.
