AI could most likely take over the tasks of more highly qualified employees
According to a study, artificial intelligence (AI) is most likely to take over the tasks of highly qualified employees. However, professions that require a low or medium level of qualification do not currently require the handling of large amounts of data, which could be facilitated by the use of AI, as the Institute for Employment Research (IAB) in Nuremberg announced on Thursday. The potential varies greatly depending on the sector.
For the study, the IAB differentiated between tasks that could be taken over by AI and those for which other software-based systems could be considered. The latter can "take over or at least support repetitive, less skilled activities", which are more likely to be performed by employees without qualifications or with vocational training, the researchers explained. AI applications, meanwhile, are able to learn statistical correlations from data, for example, and react on this basis.
The potential for automation through AI and software is particularly high in the manufacturing industry and in information and communication technology. According to the researchers, the biggest difference between the two applications is in the area of transportation and warehousing. Here, AI systems help significantly less in taking over tasks than other software.
According to the data, insurance companies and financial service providers are generally less affected by automation - regardless of whether they are taken over by AI or other software. The same applies to retail, garages and care.
AI and other software could also help to mitigate the shortage of skilled workers, as the researchers explained. However: "Entire professions can rarely be fully automated," explained IAB researcher Michael Stops. Many AI and software applications are limited in their capabilities and can only support specific activities. This means that AI and other software alone cannot solve the shortage of skilled workers.
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In light of the potential for AI to automate tasks, further studies are necessary to examine how it can assist in the tasks of lower-skilled employees, such as Ki, who may benefit from AI learning statistical correlations and reacting based on this data, as suggested by the IAB. Despite AI's capabilities, it's crucial to remember that whole professions cannot be fully automatized, as noted by IAB researcher Michael Stops.
Source: www.ntv.de
