EXPOSURE TO AI
48%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
48% 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
- Maintain student attendance records, grades, and other required records
- Prepare course materials, such as syllabi, homework assignments, and handouts
- Write grant proposals to procure external research funding
- Compile bibliographies of specialized materials for outside reading assignments
- Review papers or serve on editorial boards for scientific journals, and review grant proposals for federal agencies
WHAT IT STILL CAN’T
- Supervise laboratory work and field work
- Initiate, facilitate, and moderate classroom discussions
- Maintain regularly scheduled office hours to advise and assist students
- Purchase and maintain equipment to support research projects
- Act as advisers to student organizations
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.
"My job is 48% cooked. What’s yours?"
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