Abstract
Abstract: This article examines the impact of artificial intelligence technologies on the system of training highly qualified scientific personnel. The advantages of using artificial intelligence in research activities are analyzed, along with potential risks associated with disruptions in the reproduction and development of scientific personnel. The study argues that the formation of a scientist requires a gradual process that includes mastering existing knowledge, performing routine research tasks, and only then advancing to independent scientific creativity. It is concluded that maintaining a balance between the automation of scientific activities and the development of researchers’ competencies is essential for the sustainable development of science and scientific schools.
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