AI will revolutionize the world of work, whether you are a psychologist, accountant or priest


A study published yesterday tells us more clearly which professions are directly impacted by the first wave of the AI ​​revolution.

school robot blackboard
Credit: 123rf

Artificial intelligence will shake up society, everyone seems to agree on this point. However, apart from OpenAI which claims that AI will only save 34 very specific jobs, no one has yet been able to say whether LLMs will really replace us or, on the contrary, will increase our productivity tenfold. A study commissioned by the British government takes stock of the jobs most “affected” by Artificial Intelligence. The term is well chosen, as it is difficult at present to affirm that the exposure of a profession or a sector of activity is a good or bad thing.

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The researchers cross-referenced data from several institutions and ministries and the IMF to project the professions and sectors of activity most exposed to AI, in order to prepare the schools and training of tomorrow which will allow us to exploit the full potential of this technology revolutionary. The analysts’ conclusions more or less match those announced by OpenAI at the launch of ChatGPT.

AI could even replace church members and psychologists

Thus, in the professions most exposed to AI-based applications, we find, unsurprisingly, those which involve a lot of office workin the areas of finance and insurance, law and business management first of all. These professions are already using AI-based applications to increase their productivity. Teachers are not immune either, as chatbots are already proving to be good tutors.

Other professions, exposed to major language models, are more at risk. THE call center workers, notaries, and psychologists, For example. These people are at real risk of losing their jobs to faster, more precise and efficient machines. As this video of a mass during which an AI officiates rather than a priest proves, shows that even clergy are susceptible to being replaced by robots. Let us still remain optimistic, because the authors of the study admit, these estimates are based on uncertain assumptions. They must therefore be interpreted with caution.



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