Almost every organisation now has both: people who work with AI tools and would not want to go back — and people who have three disappointing demonstrations behind them and consider the whole thing marketing. Both are right, and that is exactly what makes the discussion so laborious.
The talk clears up in between. Without technical jargon, without product names, without the usual list of tools that will be out of date in six months.
What is left is a yardstick: four questions with which any AI promise can be tested — from a supplier's offer to an internal initiative. That is the part an audience takes away and applies on Monday.
What actually works today
A sober stocktake: where today's systems reliably take work off people's hands, where they assist, and where they are simply guessing. The difference between those three states is the most important distinction in the whole field — and it is systematically blurred in sales conversations.
Along with the question that comes up in every room: what does this mean for my work? It is answered, not deferred.
Who the talk is for
For mixed audiences in which nobody should be excluded:
- Management and department heads who have to decide where to invest
- Specialist functions without an IT background who are meant to actually use the tools
- All-hands meetings and staff events where worries are in the room
- Customer events and congresses with an audience of very mixed background
- Leadership conferences, when a shared picture is needed first
What the talk covers
- What today's AI systems can do, what they only appear to do — and how to notice the difference in everyday work
- Where the value is solid: the types of task where the effort demonstrably pays off
- The yardstick: four questions to put to any promise, whether from a supplier or from inside the organisation
- Why the technology is rarely the problem, and what slows things down instead
- What this means for people's own work — in the office and on the shop floor
What your team can do afterwards
Judge an AI offer without having to understand the technology. Tell whether an internal initiative rests on a solid assumption. And name, in their own area, which task is worth it and which is not — using the same four questions the talk derives.
