AI in everyday office life
We hear and see headlines like the below ones in the media almost every day
- “Students and pupils let AI write their homework”
- “University students use AI in their work”
- “Authorities/offices want to use AI for control in .. months”
Of course, AI technologies are advancing at a frightening pace and one could almost say that everyone is calling for AI support to cope with day-to-day work and future challenges as well. This is accompanied by the desire to use the work resources that are freed up for other tasks (or even to free them up entirely).
AI has its undoubted advantages, above all the extremely high speed and access to an almost unlimited archive of data and information. In addition, it is also evident that AI seems capable of learning in static areas, i.e. apparently developing further. This could be beneficial for all learners.
At the moment, however, AI still has its limits: It does not differentiate between words/sentences for the head/mind or the heart/soul.
In the commercial sector, tests show that – to put it bluntly – “everyday correspondence” can be dealt with faster and, for the most part, better using AI. There were some amazing results (in a positive as well as negative sense) in the dynamic, i.e. creative, tasks. For example, the AI formulated a very useful delivery offer in a very short time. On the other hand, the drafting of an LC wording based on a supply contract turned into a fiasco.
I cannot predict in which directions and at what speed the AI technologies will develop in the future. The fact is, however, that they will find their way into our everyday work.
For companies, however, this means that when using AI in the commercial area, accompanying monitoring/control by employees is also required. It is therefore appropriate to continue to send employees for training and education and, if necessary, to use external expertise.
AI technologies will not be an integral part of the business world today, but will be in the near future. At the same time, however, the corresponding technical and commercial know-how of the employees must be promoted in order to identify mistakes in AI elaborations at an early stage and to intervene to correct them in the interests of the company.