How is AI changing AV in workplaces and hospitality?

11 Nov 2025

Artificial intelligence is changing AV by enabling systems to interpret what is happening in a space and respond automatically. In workplaces, that can mean cameras that frame participants and audio processing that removes unwanted noise. In hospitality, it can mean smarter guest communications, more personalised services and increasingly automated operations.

Revised 7 October 2026

The important change is not that every building is suddenly becoming “AI-powered”. It is that intelligence is being added to individual parts of the experience – often without the user noticing it at all.

For businesses investing in AV, that creates opportunities well beyond automation.

AI is becoming part of the meeting room

Some of the clearest examples can already be found in workplace collaboration.

AI-enabled cameras can identify and frame meeting participants automatically, while intelligent audio processing can distinguish speech from distracting noise. The quality of that captured audio and video is becoming even more important as platforms use AI to create transcripts, summaries and other meeting outputs.

ISE exhibitor Shure, for example, describes clear audio and intelligent video as critical to accurate AI-powered transcription, summaries and speaker-aware insights. Its IntelliMix Room systems combine audio processing with AI-powered cameras that automatically frame participants.

That illustrates a broader shift. AI is no longer simply another application sitting on top of the meeting-room technology stack. Increasingly, AV provides the data that makes AI useful.

If a system cannot clearly capture who is speaking, where they are sitting or what is being presented, the intelligence built on top of that information is compromised.

From individual rooms to intelligent environments

The opportunity becomes larger when AV is connected across a building.

Sensors, room-booking systems, collaboration platforms and AV management tools can collectively provide organisations with a much clearer picture of how spaces are being used. That information can inform decisions about room configuration, technology deployment and building operations.

But intelligence still depends on infrastructure.

At Samsung's Human Resources Development Institute in South Korea, for example, a documented deployment uses NETGEAR AV switches to provide the network infrastructure for Dante AV across conference and training rooms. The system provides centralised management while allowing individual rooms to be configured for different requirements.

It is not an AI case study in itself – and that distinction matters. Instead, it demonstrates the connected AV foundation on which increasingly intelligent workplace experiences depend.

A more direct convergence of technologies can be seen at Wipro's Innovation Network Experience Centre in Bengaluru. The facility brings together cloud, AI, IoT and an integrated AV ecosystem to create interactive demonstrations and personalised customer experiences across sectors including healthcare, aerospace, retail and industrial automation. According to the published case study, the centre hosts an average of two to three customer visits each day.

Hospitality has a different AI opportunity

Hotels have many of the same underlying technologies, but the objective is different.

Here, AV forms part of a much wider guest journey. Displays, IPTV, room controls, audio, lighting and meeting technology all contribute to the experience, while AI can increasingly sit behind guest communications and operational systems.

Boom, for example, has developed an AI-powered property management platform for hospitality and short-term rental operators. Its systems use AI for functions including guest communications, task creation, reporting and analytics. The company says its platform is now used across more than 20,000 properties in over 30 countries.

That may appear removed from traditional AV, but the boundaries are becoming less useful. When a hotel knows more about a guest, a room or an operational requirement, connected systems potentially have more context on which to act.

The challenge is connecting those systems intelligently rather than adding isolated layers of technology.

The experience still comes first

There is an obvious temptation to describe AI as making buildings autonomous. The more useful goal is simpler: removing friction.

A meeting room that frames speakers correctly without somebody operating a camera is better because people can concentrate on the meeting. A system that removes background noise is valuable because remote participants can hear more clearly. Hotel technology that deals efficiently with routine requests can give staff more time for interactions where human service matters.

The best AI may therefore be the AI that users barely notice.

At ISE 2027, workplace and hospitality professionals can explore the AV infrastructure behind these increasingly intelligent experiences, from collaboration and audio to displays, digital signage, networking and control. The opportunity is not simply to add AI to more products, but to understand where intelligence can make spaces genuinely easier, more efficient and more engaging to use.

As AI and AV become more closely connected, the question is shifting from what can the technology automate? to what can it make better?

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