AI is everywhere right now. Every platform, every product, every pitch. And in AV, it’s no different. But the real question isn’t whether AI is important. It is. The question is whether it’s actually making meetings better or just making systems more complicated.
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AI has moved fast over the past year. What used to feel like a “nice to have” is now showing up in everyday workflows.
Most people are already using AI without thinking about it :
In video conferencing, things like face tracking and voice tracking have been around for a while. What’s changing now is how intelligent and scalable those systems are becoming.
AI is starting to manage multi-camera environments in a way that used to require a human operator. That’s a big shift. Especially for companies that don’t have the time or budget to manage complex setups.
Behind the scenes, AI is also helping IT teams stay ahead of problems by predicting system failures and reducing downtime.
That’s where it starts to get interesting.
AI is quietly becoming one of the most useful tools in AV workflows.
In multi-camera environments, AI can:
In content creation and editing, it’s already doing things like:
In many cases, it’s not replacing people. It’s removing friction.
And when you remove friction, things actually get used.
For us, the most valuable use cases are simple.
Live presentations. Hybrid meetings. Rooms where not everyone is in the same place.
AI can:
That leads to a better experience for remote participants, which is still where most systems fall short.
This is the part that matters most.
Because if it’s not easier, it’s not better.
Simplicity is core to everything we build at Boom. AI can support that, but only if it’s used the right way.
Where AI helps:
Where it doesn’t:
A good example of where this is going is facial recognition for presenters. Cameras will be able to identify and track someone automatically based on a reference image.
No setup. No training. No learning curve.
That’s the goal.
One area that doesn’t get talked about enough is how AI is helping behind the scenes.
AI can now assist with:
Before an installer even walks into a room, they can have a strong starting point.
On the support side, AI is helping diagnose issues faster and guide troubleshooting.
That’s a big deal for integrators and IT teams who are constantly under pressure to do more with less.
I use AI constantly.
For:
It’s incredibly useful.
But it’s not perfect.
AI still:
You still need a human layer. Always.
AI is not a feature. It’s becoming a default layer of technology.
Just like the internet did.
Some industries will feel the impact faster than others. Contact centers and marketing are already seeing it.
In AV, the shift will be more gradual. But it will be just as important.
The companies that win will be the ones that:
The ones that don’t will get stuck maintaining systems people don’t want to use.
There’s a lot of fear around AI replacing jobs.
That’s not what we’re seeing.
What we’re seeing is:
AV is already attracting talent from adjacent industries like telephony because it’s more dynamic and more modern.
AI will accelerate that trend, not reverse it.
If there’s one thing the AV industry doesn’t need, it’s more complexity.
And that’s the risk with AI.
Too many rooms are already:
Users don’t want more features. They want meetings that just work.
AI should:
Not become another layer people have to manage.
No.
It’s a tool.
A powerful one. But still just a tool.
The real opportunity is using AI to deliver on something the AV industry has been chasing for years:
Better meetings. Simply.