For the past three years, AI in unified communications generally meant one thing: a summary at the end of the meeting. Transcription, action items, a recap in your inbox an hour later, and so on. It saved time, but it didn’t change how meetings worked.
At Infocomm 2026, the major UC platforms are making the case that it should. When Microsoft’s Ilya Bukshteyn takes the stage in Las Vegas on 17 June for his session “Exploring the Future of AI-Powered Collaboration and Connected Workplaces,” Microsoft’s pre-show framing makes clear the company is no longer talking about AI that captures what happened in a meeting. It is talking about AI that participates in one: surfacing documents mid-conversation, assigning action items in real time, and coordinating room systems based on what is happening around the table.
That shift runs through the keynote programme, the education track, and the show floor at this year’s event.
Read our pre-event guide for Infocomm 2026 here.
What “Agentic AI” in UC Actually Means
Agentic AI, as it applies to UC platforms, means systems that do not wait to be prompted. Rather than responding to individual requests, they anticipate and complete tasks within a workflow as a meeting or call develops. In practice, that is an AI layer that does not wait for the call to end before it acts.
Gartner has predicted that 40% of enterprise applications would be integrated with task-specific AI agents by the end of 2026, up from less than 5% in 2025. The firm maps a five-stage progression: embedded assistants in 2025, task-specific agents in 2026, collaborative agents within applications by 2027, cross-application AI ecosystems by 2028, and by 2029, Gartner expects half of all knowledge workers to be building and managing agents themselves. The show lands at the move from stage one to stage two.
Microsoft, Zoom, and Cisco: Where Each Platform Stands
All three major UC platforms arrive at Infocomm 2026 with agentic AI central to their story, each at a different stage of delivery.
Microsoft
Microsoft’s position draws on data from its 2026 Work Trend Index, published in the weeks before the show. Based on trillions of anonymised Microsoft 365 productivity signals and a survey of 20,000 workers across 10 countries, it found that 49% of Copilot conversations now support cognitive work including analysis, problem-solving, and strategic thinking. Among what Microsoft classifies as “Frontier Professionals,” 80% report producing work they could not have completed a year earlier, compared to 58% of all AI users. The report also identifies what it calls a “Transformation Paradox”: individual workers are moving ahead with AI faster than the organisations around them, with only 13% of firms actively rewarding AI-driven workflow reinvention.
Zoom
Zoom arrives with its agentic move already shipped. AI Companion 3.0, expanded in March 2026, introduces workflow orchestration across Zoom Workplace, Zoom Phone, and Zoom CX, with custom AI agents, ten new secure connectors, and the ability to turn meetings, calls, and customer interactions into completed outcomes rather than lists of follow-up tasks. Monthly active users more than tripled year-over-year in Q4 FY26. The Infocomm session, “Zoom: AI-First, Human-Centered Workspaces,” brings that to an enterprise AV and IT audience that may not have tracked the March Enterprise Connect announcements.
Cisco
Cisco’s approach pushes agentic capabilities to the device layer, not just the software stack. RoomOS 26, developed with NVIDIA, introduces those capabilities at the hardware level, while the Webex Suite now integrates with Amazon Q Index, Microsoft 365 Copilot, and Salesforce for agentic workflow automation. Espen Løberg’s keynote on 18 June frames this under Cisco’s “Connected Intelligence” vision: a converged architecture bringing devices, networks, collaboration platforms, and AI under one management layer, aimed at enterprises running AV and IT infrastructure that grew up separately.
Logitech
Logitech’s three Wednesday education sessions cover Teams Rooms and Copilot, Google Meet AI, and Zoom AI in the same programme block, walking through how hardware and software work together across each platform. For IT teams managing multi-platform environments, the sessions address meeting equity across those deployments in a way that single-vendor sessions typically do not.
What the Adoption Data Shows
Vendor momentum at the show sits alongside a more difficult picture in the research.
A Writer survey of 2,400 global business leaders published in April 2026 found that 79% of organisations face challenges in adopting AI, a double-digit increase on 2025, despite 59% spending more than $1 million annually on AI technology. Only 29% report significant ROI from generative AI, even where individual productivity gains are measurable.
Gartner’s Global Labor Market Survey, conducted in Q1 2026 across 12,004 employees and managers in 40 countries, found that 19% of employees reported no time saved with AI at all. Gartner attributed this to what it called an “enablement illusion,” where organisations measure AI success through access and adoption rates rather than how deeply it is used.
Microsoft’s Work Trend Index points to the same problem from a different angle. Organisational factors, including culture, manager support, and talent practices, account for 67% of reported AI impact, against 32% for individual mindset and behaviour. Training alone does not produce sustained results. Workers also need clear expectations, active manager support, and room to experiment.
What the Show Marks
Infocomm 2026 will not deliver fully realised agentic AI in enterprise UC. What it marks is the point at which the major platforms stopped treating AI as a feature and started building it into the meeting room as infrastructure. How quickly enterprise IT organisations close the gap between that and where most deployments actually sit is the harder question, and one the show floor will not answer.
