Artificial Intelligence: Here are the 40 most vulnerable stores according to Microsoft
With the rise of artificial intelligence, more and more observers believe that this technology radically transforms the labor market and even leads to a complete disappearance of certain professions. This summer, for example, Dario Amodei, CEO of Anthropic, persisted on a question in a post that caused a lot of ink.
Now Microsoft teams drive a home with a study that presents forty professions in a very uncertain future.
In this article, scientists have analyzed more than 200,000 anonymized interactions between users and braid, AI assistant. They created from these data ‘The IA’s usability score », An indicator that is used to quantify how many store tasks can already be performed efficiently using machine learning tools. The higher the overlap of skills, the higher the score.
The authors then classified various professions according to their usability score to identify a list of forty particularly vulnerable stores that could undergo a radical transformation in a few years.
A very influenced translation and customer service
We find at the top of the list artists and translators. It is something else, but surprising, because he knew it was an area where machine learning is very effective; The authors also assigned these two professions 98 % of the Redundance score. This sector is also aware of, as stated in the case of Duoling, who openly announced his intention to replace part of his workforce Ia Chatbota.
Microsoft also believes that different types of commercial representatives must worry, especially in the area customer service. A conclusion that seems to be in line with the reality of the market: IA Chatbots already assumes a substantial part of the service of many companies and after taking care of responding to trivial and frequent requirements so people can focus on the most thorny cases.
Historians, mathematicians and authors also concerned
Other unexpected professions, such as historians, mathematicians or geographers, also slipped into the list. These references may surprise because these are generally associated with intellectual tasks that include a good dose Justification, creativity and context sensitivity – Points where LLM today still shows glaring gaps. But by digging more, we realize that the justification still holds the road.
Take an example of mathematicians. This term intuitively evokes mainly scientists who are able to formulate conjecture based on the mixtures of technical championships, intuition and creativity. In fact, most of them do not spend their days of revolutionary theories. Their everyday life is more Explore large data sets and perform countless strict checksVerify or deny these hypotheses. However, it is exactly the type of time and a recurring task that is likely to be partially or completely automated by AI tools.
It is true that visionaries will always receive a survey. But for all mathematics who are now taking care of this laborious work in the background, it will undoubtedly be difficult to create a place in the academic world. It is a safe bet that rare posts will be reserved for a handful of elite theorists and that these will be more supported by AI models than people in the body.
To some extent, this observation also applies to geographers or historians. The introduction to the perspective and interpretation will undoubtedly remain the privilege of some extremely qualified people, but a material work that represents a large part of the profession, the risks of being widely automated, with everything that means for the number of positions to be occupied.
Manual professions are on the rise
However, it should be noted that this study includes an important limit to which the authors explicitly insist. The score of the usability on which these works are based only reflects overlapping with the capacity of modern AI systems. Although it is very high, this does not necessarily mean that the AI system can fully replace a qualified professional, at least in the short term.
According to Microsoft, this must be interpreted as a An indicator of transformation potential: The likelihood of developing radically in contact with this technology.
However, the final conclusion remains very similar: many shops are likely to see their workforce melt like snow in the sun with progress AI. It will be that is why All the more interesting to turn to a less exposed activity,, Like Personal Services, Crafts or Manage Specialized EquipmentFor example, in construction.
The text of the study is available here.
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