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EXPOSURE TO AI
45%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
A co-pilot is coming for the busywork, not the wheel.

45% 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
  • Calculate, or verify calculations of, prescribed radiation doses
  • Record patient information, such as radiation doses administered, in patient records
  • Perform quality assurance system checks, such as calibrations, on treatment planning computers
  • Calculate the delivery of radiation treatment, such as the amount or extent of radiation per session, based on the prescribed course of radiation therapy
  • Conduct radiation oncology-related research, such as improving computer treatment planning systems or developing new treatment devices
WHAT IT STILL CAN’T
  • Fabricate beam modifying devices, such as compensators, shields, and wedge filters
  • Fabricate patient immobilization devices, such as molds or casts, for radiation delivery
  • Load, receive, or ship radioactive materials
  • Measure the amount of radioactivity in patients or equipment, using radiation monitoring devices
  • Teach medical dosimetry, including its application, to students, radiation therapists, or residents
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