EXPOSURE TO AI
47%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
6%
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.
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
- Assist in preparing and maintaining personnel records and handbooks
- Prepare research results for publication in form of journals, books, manuals, and film
- Prepare occupational classifications, job descriptions, and salary scales
- Provide advice on the resolution of classification and salary complaints
- Research job and worker requirements, structural and functional relationships among jobs and occupations, and occupational trends
WHAT IT STILL CAN’T
- Consult with, or serve as, technical liaison between business, industry, government, and union officials
- Observe, interview, and survey employees and conduct focus group meetings to collect job, organizational, and occupational information
- Speak at conferences and events to promote apprenticeships and related training programs
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