A group of researchers, associated with the company Open AI Yet the University of Pennsylvania (United States), published an article in which they analyzed the impact of the artificial intelligence In the labor market.
Said study is clear in specifying that an analysis of AI is made in the US labor market.
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The study notes that “In recent years, extended language models have shown their prominence in the field of artificial intelligence research, exposing their ability to cope with a wide variety of complex language-based tasks. This progress has been fueled by multiple factors, including increased parameters, greater volumes of data for training, and improved training settings.”.
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Faced with this paradigm, the researchers made an observation of some works from an important variable: how access to this technology can reduce the time for a person to perform a task by at least 50%. That is, in simple terms, it does not state that people are replaceable in their work; rather, it analyzes how AI can improve job performance.
This study, likewise, shows that about 19% of jobs in the United States have at least 50% exposure to AI when analyzing the capabilities of the current model.
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As specified by the study, the tasks with more levels of exposure to extensive model languages are, in that order:
– Interpreters and translators (76.5%)
– pollsters (75%)
– Creative poets and writers (68.8%)
– animal scientists (66.7%)
– public relations (66.7%)
In the 100% range are the mathematicians, tax assessors, quantitative finance analysts, writers, and authors; and web interface designers.
Another variable that is exposed in the study is how the exposure to AIs increases according to the educational level.
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“Our analysis suggests that individuals with professional and graduate degrees are more exposed to these software than those without formal educational credentials.”, is indicated in the research document.
Under this logic, it was also found that tasks with less exposure to AI require longer preparation, but have a potentially lower offer.
The study concludes with the researchers noting the fact that “we have observed that most occupations have some degree of exposure, with those that have a higher salary generally presenting more tasks with high exposure”.
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