Technological evolution, especially in the field of artificial intelligence, irreversibly affects our reality and, consequently, labor markets. Princeton University has undertaken the task of analyzing this phenomenon, focusing on identifying professions that may significantly change or even disappear in the near future due to the growing role of artificial intelligence (https://arxiv.org/ftp/arxiv/papers/2303/2303.01157.pdf).
Scientists focused on analyzing 20 professions that, according to them, are most exposed to AI influence. The most disturbing conclusions concerned the role of call center agents, who, according to the analyses carried out, are on the front line of the threat. However, what is equally disturbing is that teachers of various subjects, such as law, history, religion and languages, are also at risk.
In order to precisely analyze the impact of artificial intelligence on the labor market, researchers constructed an advanced algorithm. They combined the operation of 10 AI-based applications with 52 human abilities, which allowed them to assess how many skills needed in a specific profession could be replaced by artificial intelligence.
It cannot be ignored that many of the professions considered most at risk are those that are highly paid and require advanced education. This group includes, among others: budget analysts, actuaries, accountants and judges. These findings provide important information for the educational, business and policy communities.
However, in the context of call center agents, many companies are already using AI-based chatbots. In this context, the proposal of Princeton researchers that telemarketers could take advantage of advances in artificial intelligence language modeling is interesting, which would contribute to a significant improvement in their efficiency.
However, what is surprising is the fact that of the 20 professions analyzed, as many as 14 were academic teachers from various fields. This indicates the need to rethink the role of education in the context of technological evolution.
This research has become the subject of wide debate among the scientific community and the public, especially in the context of a recent report published by Ecole Polytechnique Fédérale de Lausanne (EPFL), focusing on the professions most and least exposed to automation.
It is crucial that society, educational institutions and policy makers are aware of these changes and prepare for the coming revolution, which will undoubtedly bring both challenges and opportunities. Research like that from Princeton University is essential for us to understand and adapt to this new professional reality.
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