EXPOSURE TO AI
39%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
5%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
39% 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
- Compile and interpret students' test results, along with information from teachers and parents, to diagnose conditions and to help assess eligibility for special services
- Maintain student records, including special education reports, confidential records, records of services provided, and behavioral data
- Select, administer, and score psychological tests
- Interpret test results and prepare psychological reports for teachers, administrators, and parents
- Assess an individual child's needs, limitations, and potential, using observation, review of school records, and consultation with parents and school personnel
WHAT IT STILL CAN’T
- Counsel children and families to help solve conflicts and problems in learning and adjustment
- Initiate and direct efforts to foster tolerance, understanding, and appreciation of diversity in school communities
- Report any pertinent information to the proper authorities in cases of child endangerment, neglect, or abuse
- Serve as a resource to help families and schools deal with crises, such as separation and loss
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 39% 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