EXPOSURE TO AI
47%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
47% 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
- Write articles, manuals, and other publications and assist in the distribution of promotional literature about programs and facilities
- Monitor students' progress and provide students and teachers with assistance in resolving any problems
- Set educational standards and goals and help establish policies, procedures, and programs to carry them out
- Determine the scope of educational program offerings and prepare drafts of program schedules and descriptions to estimate staffing and facility requirements
- Determine allocations of funds for staff, supplies, materials, and equipment and authorize purchases
WHAT IT STILL CAN’T
- Confer with parents and staff to discuss educational activities and policies and students' behavioral or learning problems
- Teach classes or courses or provide direct care to children
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 47% 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