Almo Pro AV Sees AI-Enabled Conference Rooms Moving From Hype to Refresh-Cycle Reality

Almo Pro AV is making a grounded case for AI-enabled conferencing: the market shift is showing up in actual room refresh decisions, not just keynote talk. In AVNation's interview, Executive Vice President Dan Smith said the gap between outdated meeting spaces and modern video-ready rooms is still wide, and that contrast is shaping what customers buy in 2026.

Smith's view carries weight because Almo Pro AV distributes professional AV equipment across the United States and sees buying patterns across thousands of end users. His main point is that the industry should stop thinking of video meetings as an occasional hybrid-work add-on. In his telling, video-first collaboration is now the default behavior, which means older rooms designed around audio calls no longer match how people actually work.

That shift matters for AI because room upgrades are no longer just about adding better displays or replacing an old codec. The article specifically ties current demand to AI-enabled conferencing, Microsoft Teams Rooms adoption, and the broader conference room refresh cycle. Smith also describes how refresh projects, remodels, and new builds behave differently, suggesting that buyers are balancing consistency, usability, and future-readiness when they decide where AI features belong.

The practical takeaway is that AI in meeting spaces is being evaluated through operations and user expectations, not novelty. If rooms need to support a video-first culture, then capabilities such as smarter camera behavior, better room intelligence, and tighter platform integration become easier to justify as part of the baseline experience. That makes AI less of a premium experiment and more of a planning assumption for room modernization.

What This Means for AV Integrators

For integrators, this is a strong signal to frame AI-enabled rooms as part of overdue refresh strategy rather than a speculative upsell. Client conversations can focus on which room types should get AI features first, how Teams Rooms standards affect design choices, and where modernization projects can expand into managed services or phased rollout revenue.