Tutors
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Instruct individual students or small groups of students in academic subjects to support formal class instruction or to prepare students for standardized or admissions tests.
The automation risk for the occupation "Tutors" is assessed at 50.5%, which closely aligns with its base risk of 51.3%. This moderate risk level reflects the balance between tasks susceptible to automation and those that rely strongly on human skills. While certain routine aspects of tutoring can be handled by software and artificial intelligence, the role frequently necessitates a human touch—especially in aspects such as emotional support, adaptability, and nuanced assessment of student needs. Among the most automatable tasks are providing feedback with positive reinforcement, reviewing class materials and working through problems, and assessing students' progress. These tasks often follow structured processes that can be replicated through AI and educational software. For example, virtual tutoring platforms can track student progress, administer quizzes, and even offer automated encouragement. Such systems can efficiently handle repetitive or standardized instructional tasks, contributing significantly to the automation risk for tutors. In contrast, other tasks resist automation due to their complex, context-dependent nature. These include researching or recommending supplementary learning materials, administering and scoring formal assessments, and physically traveling to students' locations. These responsibilities often require judgment, familiarity with educational resources, and direct interaction—elements that are challenging for automation. Furthermore, bottleneck skills such as originality, rated at 3.0% and 3.1%, highlight the necessity for creative and adaptive problem-solving in effective tutoring, which current AI technology struggles to replicate fully. This blend of automatable and non-automatable responsibilities explains why tutors face a midway automation risk rather than a higher or lower one.