Why artificial intelligence will not take your job (or ours)

July 8, 2026

Since artificial intelligence entered public debate, many people working in events have started asking themselves how safe their own role really is.

It is a fair question. But answering it too quickly gives you a partial answer, or even the wrong one. Here is why.

There is no doubt that tasks which until recently took hours of human work can now be done in minutes by systems powered by artificial intelligence. Which ones?

Certainly all the ones that are easiest to automate: those that call for manual effort rather than creativity, and that are highly repetitive. Think of writing content, producing translations (technical ones above all), reports and summaries, basic customer care or handling information. In all of these, artificial intelligence — systematic, mechanical, fast — can already replace a good deal of professional work in the events sector too, efficiently and to a good standard. And the advantage it offers grows the more — as has been happening for some time — events come to depend on efficiency, speed and cost optimisation.

So we can answer that part of the question quickly and with some confidence: yes, in simple, mechanical tasks where speed and precision are what count, artificial intelligence can do as well as human event organisers, and perhaps better. It can replace them or, conversely, make them more effective, working alongside them and freeing up time for other things.

Now for the second part of the answer, which is a little more complicated. Let us rephrase the question: will artificial intelligence change the work of event organisers? Here too the answer is easy: yes, it already has, it is doing so now, and it probably will more and more. But that does not mean it will replace the best organisers.

Because, as you know perfectly well, not all work in events carries the same value.

There are a great many activities — generally the ones with the biggest impact on the quality of the finished product and on stakeholder satisfaction — that depend heavily on experience, judgement, sensitivity, relationships and leadership. And on intuition and the handling of complexity, which is close to the oldest definition of genius: what is genius, if not imagination, intuition, decisiveness and speed of execution?

How good is artificial intelligence at being brilliant in that sense? At the moment, not very. And how much brilliance does it take to design, build and run events today? Quite a lot.

Events are full of unpredictable variables, as anyone working in this field knows well.

An event is never just a programme, a platform, a checklist, a sequence of tasks.

It is a complex system made of people, tensions, expectations, relationships, surprises and constant decisions. One day inside an event is enough to see it. The speaker who changes their talk at the last minute, the dissatisfied sponsor, a problem at the venue, an audience reacting unexpectedly to something you have put in front of them: the catalogue of what could be called the unforeseen — but which anyone working in events would more readily call routine — is easy to draw up. And these are all situations that call for high-level capabilities: reading the context carefully, mediating, understanding priorities, managing relationships, staying clear-headed under pressure and making decisions quickly and firmly.

Artificial intelligence struggles in those scenarios, at least for now, because it has no real experience — the wholly human kind you acquire by handling situations first-hand, testing what they are made of and measuring yourself against pressure and change. It is the knowledge that comes from exercising responsibility, instinct and sensitivity, and from the mistakes you learn from so as not to repeat them.

Anyone with experience of organising events knows it: decisions are not taken on data and information alone, but on dynamics, relationships, sensitivities, moments and perceptions. All things where human beings still hold a clear advantage over machines, especially when they turn them into something usable.

The same is true for us at SharEvent. In the platform we built, which many of you use every day for your events, intelligent use of technology has made it possible to do far more in less time, and often to do it better. It has let many of you be more precise, more personal, more attentive, more punctual. All of it, as we have always promised, by making life simpler for the people using these tools. But just as none of you runs events from a deckchair with a cocktail in hand (do you?), we have not been replaced by our own technology either — and we do not believe artificial intelligence will replace us any time soon, however fast it advances. Why not? Because a large part of our work, beyond constantly improving our products and their performance and developing new features to answer changing needs, is about experience and advice. It is about giving you a service shaped around your event, catching the hints and turning them into ideas, suggesting and proposing. It is about building with you the experience you want the people at your event to have, and being there when you put the pieces together and turn the idea in your head into something real.

And we have yet to find an artificial intelligence that does that for us. So we welcome anything that helps us work faster and better, because it gives us more room to concentrate on what matters most to us: you and your events.

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