EXPOSURE TO AI
35%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
30%
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.
35% 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
- Establish clear objectives for all lessons, units, and projects, and communicate these objectives to students
- Prepare reports on students and activities as required by administration
- Supervise, evaluate, and plan assignments for teacher assistants and volunteers
- Prepare objectives and outlines for courses of study, following curriculum guidelines or requirements of states and schools
- Prepare, administer, and grade tests and assignments to evaluate students' progress
WHAT IT STILL CAN’T
- Establish and enforce rules for behavior and procedures for maintaining order among students
- Prepare materials and classrooms for class activities
- Confer with parents or guardians, other teachers, counselors, and administrators to resolve students' behavioral and academic problems
- Enforce all administration policies and rules governing students
- Meet with other professionals to discuss individual students' needs and 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 35% 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