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EXPOSURE TO AI
47%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
29%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.

47% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. In the blast radius. A real slice of the work is already automatable. The rest isn’t.

WHAT AI CAN ALREADY DO
  • Prepare materials for laboratory activities and course materials, such as syllabi, homework assignments, and handouts
  • Maintain student attendance records, grades, and other required records
  • Review papers for publication in journals
  • Compile bibliographies of specialized materials for outside reading assignments
  • Evaluate and grade students' class work, laboratory work, assignments, and papers
WHAT IT STILL CAN’T
  • Initiate, facilitate, and moderate classroom discussions
  • Provide students course-related experiences, such as field trips, outside the classroom
  • Maintain or repair lab equipment
  • Maintain regularly scheduled office hours to advise and assist students
  • Participate in campus and community events, such as giving presentations to the public
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY)  | how this is calculated  | last updated 2026-07-16