A team of researchers from Microsoft has analyzed around 200,000 user exchanges with Bing Copilot, a tool based on generative AI. Their goal? Cartographing the professions most likely to be automated and those for which it is much less the case. According to the online media Futurism, the study is based on a score of applicability of artificial intelligence, which measures the frequency and success of the current integration of AI in different professions.
Certain professions involve specific gestures, adaptability to unpredictable environments and a human experience difficult to code. For example, manage a heavy machine or work on a roof requires fine motor skills and contextual decision -making. It is these human qualities that artificial intelligence struggles to reproduce, unlike tasks based on written analysis or communication.
Heterogeneous revolution
Faced with the rise of AI, the professions which require physical agility, direct contact with reality or manual know-how are likely to remain essential. While some sectors must adapt to an increasing transformation, others offer a safer refuge, valuing irreplaceable human capital.
What this study underlines is that the Revolution IA will not be uniform. Manual and physical jobs are currently the bastions when technology is struggling to set up fully. In parallel, intellectual professions, at the heart of information and data processing, are those who know the strongest impact, with a risk of partial automation.
The less likely trades likely to be replaced by artificial intelligence are those who require manual work or complex physical interaction. We especially think of operators of heavy machines and motor boats, maintenance agents, roofers, massage therapists, as well as to people making dishes.
Conversely, the jobs most exposed to automation are those related to information, writing, advice and teaching – sectors in which AI already excels, such as translators, writers or customer service agents.
Microsoft recalls, however, that these results do not mean that artificial intelligence will completely take the place of humans in these trades. The study does not claim that AI can perform all the tasks of a given job. In addition, uses vary and certain professions combine components still strongly requiring the human factor, in particular due to the intuition or the management of incomplete information.
This study thus sheds light on the future of the labor market by emphasizing the importance of the human dimension for the survival of certain trades. A strong signal for those who seek to anticipate and secure their professional career.
