When AI joins the room: what it actually means for live events

From brand launches and industry conferences to employee town halls and leadership roadshows, live events have always played a unique role in communications. They create shared experiences that digital channels can’t replicate, bringing people together in a way that feels immediate, human and memorable.

So, the role of AI within them is becoming more interesting. While much has been written about its ability to streamline planning and generate efficiencies before and after an event, far less attention has been paid to what’s happening in the moment itself. Increasingly, AI is being used during events – not in a big, dramatic or overly futuristic way, but more subtly. It’s helping to shape the experience as it unfolds, influencing what people see, where they go and who they connect with, while also helping organisers manage crowd flow in real time and capturing meaningful data that extends the value of the event after it ends. 

Hyper personalised experiences

Event agendas can often be chaotic – particularly when it comes to large-scale conferences where there are typically a lot of sessions and therefore choices to make about what to see and what will have to be missed. Increasingly, AI is being used to cut through that. It enables event organisers to suggest personalised agendas based on someone’s role, interests or previous engagements, as well as recommend alternative, relevant sessions when certain rooms are full, and suggest who to network with through personalised connection recommendations.  

These seemingly small changes can significantly alter how people experience the event. Instead of second-guessing, they’re more likely to end up in the conversations that matter and get more from the event.

Real-time engagement monitoring

One of the biggest challenges in communications is knowing how messages are received. During an event, there are indicators everywhere – attendance, questions, app usage, and polls to name a few. Historically it’s been difficult to capture all of this in a meaningful or interpretable way, but AI is changing that.

For example, live tracking and engagement analytics can show which parts of a session held attention, where people dropped off, and which speakers and topics triggered the most interaction. At the same time, sentiment analysis tools can scan questions and comments to identify whether audiences are aligned, confused or sceptical.

To be clear, this isn’t about replacing human judgement. It’s about giving comms teams a clearer read on what’s happening in the room with data that they can use to inform future events. 

Turning events into ongoing content

In-person events are an investment, but once the day itself is over, it’s alarming how quickly they can fade. You bring people together, create good energy and then within days, it can disappear if effort isn’t made to extend the communications beyond the room.

Partly that’s down to timing – turning sessions into usable content takes time and by the time summaries or updates are ready, the moment has often passed. However, with the right tools in place, key takeaways, summaries and even draft content can now be generated almost immediately after a session ends. Increasingly, that also includes real-time transcription and translation, making content more accessible to wider, more diverse audiences from the outset. That means insights can be shared while they’re still fresh.

Of course, much of this will still need human oversight and input, but it gives comms teams a great starting point and lightens the load massively, ensuring that events aren’t just one-off moments, but a starting point for ongoing communication. 

Why adoption still feels slow

Despite this, most organisations are still at a relatively early stage when it comes to incorporating AI into live execution. While it’s widely used before events to plan and structure, and after them to report, fewer teams are integrating it into the live experience itself.

That’s partly practical. Introducing new tools into a live environment requires confidence, testing and resource. But there are also more human considerations. For example, if you’re capturing live interactions – questions, reactions, engagement data – people will want to know how that information is being used. If that isn’t clear, there’s a risk that audiences hold back rather than participate openly.

When it comes to AI there’s a balance to strike. The best events feel human. If AI is overused, there’s a risk the experience starts to feel overly managed or artificial.

Where does this leave comms teams?

For communications professionals, this isn’t about replacing the human element that makes events work in the first place, it’s about strengthening it. Used well, AI can help capture the parts of events that have always been hardest to hold onto – the reactions, the questions, the moments that matter and that can provide priceless data for future events.

Not only that but AI can make events more accessible, more relevant and more useful long after they’ve finished. But it’s not a shortcut, If the content isn’t strong or the experience doesn’t engage people, no amount of AI will fix that. Ultimately, events have always been about connection – AI just gives us a better way of understanding what that connection looks like and what to do with it afterwards.