EXPOSURE TO AI
36%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
7%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
36% 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 accurate and complete student records as required by administrative policy
- Establish clear objectives for all lessons, units, and projects and communicate those objectives to students
- Prepare instructional program objectives, outlines, and lesson plans
- Observe and evaluate the performance of other instructors
- Write instructional articles on designated subjects
WHAT IT STILL CAN’T
- Prepare students for further development by encouraging them to explore learning opportunities and to persevere with challenging tasks
- Observe students to determine qualifications, limitations, abilities, interests, and other individual characteristics
- Prepare materials and classrooms for class activities
- Enforce policies and rules governing students
- Meet with other instructors to discuss individual students and their progress
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 36% 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