AI in Event Technology: The Future Is Not Only on Stage

Posted on by loudeSTudio

For a long time, event technology was mainly connected to what happens in the room: the stage, lights, sound, video wall, cameras, cables, crew, timing, and pressure of live production.

But now, something is changing.

AI is not only entering event technology as a small helper for emails, translation, subtitles, or schedules. It is slowly becoming part of the deeper structure of events: planning, simulation, audience experience, virtual production, hybrid events, digital twins, technical training, and even fully virtual event environments.

From my perspective, coming from video production, digital leadership, and now Veranstaltungstechnik in Berlin, I see this shift with both excitement and concern.

I do not think the question is only:

“Will AI replace event technicians?”

That question is too simple.

The better question is:

“Which parts of event work will stay physical, which parts will become digital, and which parts will become AI-assisted?”

Berlin as a Real Testing Ground

Berlin is a very interesting place to ask this question.

The city has a strong event market, a large freelance scene, many rental and technical service companies, creative agencies, venues, startups, media-tech companies, and a growing connection between XR, streaming, virtual production, and live experiences.

According to visitBerlin, Berlin hosted 86,814 onsite events in 2025, with 13.7 million onsite participants. Business events alone reached 64,690 events and around 10 million participants [1].

So this is not a small side industry. Events are part of Berlin’s economy, cultural identity, and international visibility.

Berlin is also officially positioned as a strong media-tech location in Europe, especially in moving-image production, XR, visual effects, streaming, online video, AI, virtual production, game engines, volumetric capture, and LED technology [2].

For me, this is important because the future of event technology will probably not be separate from media technology anymore.

A conference, concert, product launch, exhibition, or training event is no longer only a physical meeting. It can also be a stream, a content product, a social-media moment, a data source, a virtual experience, and an archive for future reuse.

The Optimistic Side: AI Can Make Event Work Smarter

There is a strong positive case for AI in event technology.

AI can support:

  • technical documentation
  • equipment planning
  • translation and subtitles
  • accessibility
  • audience analysis
  • content repurposing
  • customer communication
  • visual pre-production
  • scheduling and project coordination
  • participant management
  • training and simulation

Research on AI in event experiences already discusses use cases such as chatbots, event apps, prediction systems, virtual concierges, instant translation, and personalised experiences [3].

This is already practical.

But the next step may be even bigger.

Digital twins and simulations could change how teams prepare events.

Before building a stage, teams may be able to test stage layouts, visitor flow, lighting concepts, emergency scenarios, camera positions, sound coverage, or hybrid audience interaction in a virtual model.

This could help with safety, cost control, training, and creative planning.

For young technicians, this could be especially powerful. Imagine learning signal flow, lighting setup, camera blocking, crowd movement, or technical failure scenarios in a simulation before entering a real venue. AI could generate practical training situations: a video signal breaks, a microphone creates feedback, a fixture stops responding, or a crowd route becomes unsafe.

That kind of learning could make event technology more accessible.

It could also help small teams and freelancers prepare more professionally, even when they do not have the same resources as large companies.

Virtual Events Are Not Just a Pandemic Memory

Another part of this discussion is virtual and hybrid events.

During the pandemic, many people saw virtual events as a temporary replacement. But I think this view is too small.

Research on digitally transformed planned events shows that event formats can move across physical, digital, virtual, hybrid, phygital, and metaversal forms [4]. These are not all the same thing. Each one creates a different relationship between place, technology, immersion, and audience experience.

This means the future event technician may not only work with microphones, projectors, trusses, mixers, and LED walls.

They may also need to understand:

  • virtual platforms
  • avatars
  • 3D spaces
  • interactive screens
  • AI-generated media
  • real-time data
  • hybrid audience engagement
  • streaming workflows
  • virtual production environments

In this sense, AI and virtual event technology may not only support the old event industry. They may create new kinds of events.

That is exciting.

But it is also uncomfortable.

The Other Side: Faster Does Not Always Mean Better

I do not want to write only a positive article.

There is also a serious concern.

If AI becomes too strong in planning, content generation, technical decision-making, and audience interaction, some professional skills may become weaker.

People may know how to operate a tool, but understand less about why something works.

They may become faster, but not necessarily better.

They may trust AI output without checking the physical reality of the room.

This matters a lot in event technology, because live events are not only digital systems. They are physical situations. A wrong assumption can affect time, budget, safety, communication, and sometimes people’s bodies.

The World Economic Forum’s Future of Jobs Report 2025 identifies AI and information processing as major forces transforming work, while also showing that technology-related skills such as AI and big data, networks and cybersecurity, and technological literacy are becoming more important [5].

The OECD also argues that most workers do not need to become advanced AI specialists. But they do need stronger digital skills, data interpretation, problem-solving, creativity, and the ability to work critically with AI tools [6].

For event technology, this is very practical.

A technician may not need to build an AI model.

But they may need to evaluate AI output, protect client data, question automated plans, understand copyright risks, and know when not to use AI.

The Governance Gap

Berlin’s 2024 event statistics show a very important gap: 51% of event suppliers were already using AI, mainly for chatbots, participant management, translation, and internal communication. But only 22% had an internal AI policy [7].

For me, this is one of the most important points.

AI use is moving faster than AI governance.

People are already testing tools. But many companies may still not have clear answers to simple questions:

  • Can client data be uploaded into an AI tool?
  • Who checks AI-generated information before it goes public?
  • Who owns AI-generated visuals?
  • Should AI-generated content be labelled?
  • What happens if AI is used in safety-related planning?
  • Who is responsible when the output is wrong?

In Europe, these questions are also connected to regulation. The EU AI Act follows a risk-based approach and includes transparency obligations for systems such as chatbots and AI-generated or manipulated content, with stronger requirements such as human oversight for high-risk systems [8].

This does not mean that every event company suddenly needs to become a legal department.

But it does mean that AI use should become more intentional.

My Personal View

My own research on AI adoption in German media SMEs also shaped how I see this topic. One thing became clear to me: successful AI adoption is not only about whether the tool is impressive. It depends on workflow fit, trust, training, leadership, rights, ethics, and whether people feel included in the change [9].

I think the same applies to event technology.

AI will not be adopted only because it can generate something.

It will be adopted when it actually fits the pressure of production: limited time, changing client wishes, safety rules, budget pressure, technical surprises, communication problems, and teams that often come together only for one project.

So my view is not anti-AI.

Actually, I believe AI can become very useful in event technology.

I can imagine AI helping with pre-production, stage visualisation, equipment planning, translation, accessibility, documentation, scheduling, training, and virtual simulations.

I can also imagine virtual events becoming more serious, not only as a replacement for physical events, but as a different kind of experience.

But I also believe event technology should not become only a screen-based, AI-managed process.

A live event is not only a data problem.

It is sound, light, timing, teamwork, stress, safety, movement, emotion, and responsibility.

A good event professional does not only follow instructions.

They read the room.

The Future Event Professional

Maybe the future is not:

AI instead of event technicians.

Maybe the future is a new kind of event professional:

someone who understands physical production, digital tools, AI-supported workflows, and human experience at the same time.

For Berlin, this could be a real opportunity.

The city already has many of the ingredients: venues, suppliers, freelancers, media tech, XR, startups, creative agencies, training institutions, and international audiences.

But to use this potential, we need more than tools.

We need practical training, clear AI policies, responsible experiments, and honest conversations about what should be automated and what should remain human.

AI may help design the show.
Virtual spaces may expand the show.
But responsibility still has to stay somewhere.

And for me, that is the real question:

Not whether AI can enter event technology, but how we decide to use it before it decides too much for us.

References

[1] visitBerlin – Berlin Event and Congress Statistics 2025.
[2] Berlin.de / Projekt Zukunft – Media Tech Berlin.
[3] Neuhofer, B., Magnus, B., & Celuch, K. – The impact of artificial intelligence on event experiences.
[4] Piccioni, N. – From physical to metaversal events: An exploratory study.
[5] World Economic Forum – Future of Jobs Report 2025.
[6] OECD – AI and Skills / Generative AI and the SME Workforce.
[7] visitBerlin – Berlin Event and Congress Statistics 2024.
[8] European Commission / AI Act Service Desk – AI Act transparency and risk obligations.
[9] Ehsan Aliabadi – MA thesis: Key Drivers and Barriers for Adopting AI Technologies in German Media SMEs, 2025.