EXPOSURE TO AI
49%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
30%
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.
49% 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
- Interpret and enforce provisions of state education codes and rules and regulations of state education boards
- Prepare or approve manuals, guidelines, and reports on state educational policies and practices for distribution to school districts
- Define instructional, learning, or performance objectives
- Develop instructional materials, such as lesson plans, handouts, or examinations
- Develop master course documentation or manuals according to applicable accreditation, certification, or other requirements
WHAT IT STILL CAN’T
- Observe work of teaching staff to evaluate performance and to recommend changes that could strengthen teaching skills
- Plan and conduct teacher training programs and conferences dealing with new classroom procedures, instructional materials and equipment, and teaching aids
- Conduct or participate in workshops, committees, and conferences designed to promote the intellectual, social, and physical welfare of students
- Address public audiences to explain program objectives and to elicit support
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 49% 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