OBSERVED IN REAL USE · Anthropic 2026
10%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
53% 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
- Develop teaching materials, such as syllabi, visual aids, answer keys, supplementary notes, or course Web sites
- Inform students of the procedures for completing and submitting class work, such as lab reports
- Return assignments to students in accordance with established deadlines
- Meet with supervisors to discuss students' grades or to complete required grade-related paperwork
- Notify instructors of errors or problems with assignments
WHAT IT STILL CAN’T
- Lead discussion sections, tutorials, or laboratory sections
- Copy and distribute classroom materials
- Schedule and maintain regular office hours to meet with students
- Demonstrate use of laboratory equipment and enforce laboratory rules
- Attend lectures given by the supervising instructor
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 53% 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