08/20/2026
AI in live events is no longer a future conversation.
It is already here.
We’re using it to organize information, accelerate design, streamline advancing, summarize communication, build schedules, create content, analyze data, improve workflows, and solve problems faster than we could before.
But that doesn’t mean AI replaces the people who make live events work.
Quite the opposite.
The more powerful the technology becomes, the more valuable experience, judgment, intuition, relationships, and calm decision-making become!
AI can tell you what the data says.
It cannot fully understand the politics of a room, the personality of an artist / client, the mood of a crew, the trust between partners, or when the “technically correct” decision is absolutely the wrong decision to make. That is where experienced people still matter.
At the same time, it is important to acknowledge what we are currently seeing in the wider market: a flood of people and organizations rapidly creating “AI solutions” that are not always backed by vetted companies with real budgets, long-term accountability, or the infrastructure required to safely service products at a global scale. In many cases, the safety, reliability, and especially the security of the data being handled is legitimately in question. As this space accelerates, discernment becomes critical. Real, human-vetted technology teams with proven experience, operational maturity, and responsibility to their clients will continue to be the ones who ultimately win trust—and the long game. Thoughts ?
The real opportunity for our industry is not to ask:
“Will AI replace us?”
It is to ask:
“How do we use AI to remove the repetitive work so our people can spend more time doing the things humans are actually good at?”
Building trust.
Solving problems.
Reading the room.
Creating experiences.
Making decisions when the information is incomplete. The companies and professionals who figure out that balance will have an enormous advantage.
AI should make us more human, not less.
Curious how others in live production are approaching it.
Where is AI genuinely making your work better—and where do you still draw the line?
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