AI in AV: What’s Actually Working, What’s Not, and What Comes Next

Artificial intelligence is becoming part of the AV industry conversation, but the important question is not simply where AI can be added. The bigger question is where it can actually solve a problem and improve the way people use AV technology.

This was one of the key discussions at InfoComm India 2026 during the panel “AI in AV: What’s Actually Working, What’s Not, and What Comes Next.” The discussion brought together Sahil Dhingra from XTEN-AV, James Ware from Neat, Edzil Deniz from 3CDN Workplace Tech and Kuldip Kamat from All Wave AV Systems.

Rather than looking at AI as a future concept, the discussion focused on what is already changing in audiovisual technology, where AI still has limitations and how the role of AV professionals could change as these technologies develop.

AI Is Helping Us Communicate Better

One of the practical examples discussed in the panel was how AI is already changing the way we experience meetings. As James Ware from Neat explained, AI can take care of tasks such as note-taking, allowing people in the room to focus more on the conversation, maintain eye contact and participate without constantly writing things down. It can also support multitasking by handling some of the work that normally takes attention away from the meeting.

This is where AI becomes useful in AV systems not because it adds another feature, but because it can make communication feel more natural.

A simple joke from the discussion captured the idea: “Why was the PC late to the meeting? Because it had a hard drive.” It was a light moment, but it also reflected how much of our everyday work now depends on technology working quietly in the background.

AI Is Changing How We See the Room

The discussion also looked at AI in multi-camera AV systems. Instead of having one camera looking at a fixed area, different cameras can capture the presenter, audience or people participating from different positions.

For example, during a conversation, a camera can help capture the person speaking from the side, while another view can focus on the front. Combined with speaker tracking and audio tracking, this can help the system follow what is happening during the conversation.

The purpose is not simply to have more cameras. It is about using the visual and audio capabilities of AV technology more effectively so that people can follow the conversation and participate more easily.

What Are We Actually Trying to Build?

One of the interesting areas discussed was 3D models and visualisation.

This connects with the “X” in AVIXA—the experience. The value of AV is not only in the technology itself but also in the experience that technology helps create.

AI can support this by making AV visualisation easier and helping people understand what they are trying to build before the solution is actually implemented.

This brings us back to three simple questions:

What are we trying to build?

How can we use technology better?

How can we create a better delivery experience?

These questions are important because AI should not become the objective by itself. The technology needs to support what we are actually trying to achieve.

The Real Challenge Is Context

AI may understand individual AV products, but an AV project is more than a list of equipment. It is a complete system that must work within a specific space, considering factors such as room design, acoustics, sightlines, network infrastructure, existing equipment, user behaviour and future requirements.

This context is what makes AV integration complex. The challenge is not just making AI smarter but making it more context-aware, reliable and capable of supporting real-world AV environments.

AI Can Hallucinate

The discussion also touched on one of the biggest challenges with AI: hallucination.

AI can provide an answer that sounds right but may not always be right. For the AV industry, this becomes important because technical information needs to be accurate.

This means AI needs to be trained properly, and there needs to be a human model around it. The objective should be to make processes easier and more scalable without removing the human understanding required to check the outcome.

There is also an important distinction between solving a business problem and solving an AI problem. Before asking how AI can be used, we need to understand what problem the business is actually trying to solve. Once that is clear, AI can be considered as a tool to help solve it.

What Happens to Bespoke AV?

This raises another important question for the AV industry.

There are many services that exist today that may not exist in the same way tomorrow. AV design and configuration could become much easier as AI develops. This could also affect the bespoke side of AV. If standard design and configuration become easier, some of the routine work may reduce.

The future of bespoke AV may therefore be less about doing everything manually and more about where human expertise can add value.

The Human Element Is Not Going Away

One of the clearest points from the discussion was that AI will not eliminate the human element.

People still need to understand the requirement, decide what needs to be built and make sure the result actually works for the client.

The future may not be about AI versus the AV professional. It may be about how effectively the AV professional can work with AI.

How Will AV Sales Change?

AI could also change the way AV solutions are sold.

The discussion touched on the shift from the traditional “show up and throw up” approach towards more consultative selling.

Instead of simply presenting products and explaining what they can do, the conversation can begin with understanding what the customer actually needs, what problem they are trying to solve and what experience they want to create.

As AI makes some technical tasks easier, understanding the customer and finding the right solution could become an even more important part of the AV sales process.

Where AI Could Take AV Next

The direction of AI in AV is likely to bring changes to how AV systems are designed, configured and delivered.

As the technology develops, some services that are common today may look very different tomorrow. AV design and configuration may become easier, but that also creates an opportunity for AV professionals to focus more on experience, problem-solving, integration and value creation the areas where technology alone cannot define what the client actually needs.

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