EXPOSURE TO AI
44%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
6%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
44% 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
- Teach courses within their department
- Design or use assessments to monitor student learning outcomes
- Advise students on issues such as course selection, progress toward graduation, and career decisions
- Plan, administer, and control budgets, maintain financial records, and produce financial reports
- Formulate strategic plans for the institution
WHAT IT STILL CAN’T
- Represent institutions at community and campus events, in meetings with other institution personnel, and during accreditation processes
- Promote the university by participating in community, state, and national events or meetings, and by developing partnerships with industry and secondary education institutions
- Participate in faculty and college committee activities
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 44% 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