Artificial intelligence is software that can solve tasks which would otherwise require human thinking – understanding language, recognising patterns, drawing conclusions and suggesting actions.
Artificial intelligence is not one technology but a family of techniques. What they have in common is that the system does not follow a fixed recipe, but has learned its abilities from large quantities of examples. That is why it can handle situations nobody programmed it for in advance – and why it can also get things wrong in ways a recipe never would.
What matters for an organisation is not how the technology works, but what it changes: tasks that used to require human attention can now be delegated – and so it becomes a leadership decision which tasks should be delegated, and which should not.
In practice
When an employee asks an AI tool to summarise a report, translate a text or propose a plan, that is artificial intelligence at work. The value is not determined by the tool, but by the choices surrounding it: the purpose, the quality requirements and the judgement.
How to explain it to management
“Artificial intelligence is not an IT project – it is a new way of distributing thinking work. That is why it is up to us to decide how it is distributed.”
If you want the full picture, read my guide What is AI? Artificial intelligence explained.