OBSERVED IN REAL USE · Anthropic 2026
43%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
54% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Maintain student attendance records, grades, and other required records
- Prepare course materials, such as syllabi, homework assignments, and handouts
- Collaborate with colleagues to address teaching and research issues
- Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra, differential equations, and discrete mathematics
- Conduct faculty performance evaluations
WHAT IT STILL CAN’T
- Initiate, facilitate, and moderate classroom discussions
- Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues
- Maintain regularly scheduled office hours to advise and assist students
- Act as advisers to student organizations
- Participate in campus and community events
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 54% 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