EXPOSURE TO AI
47%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
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
- Input specifications into computers to assist with pattern design and pattern cutting
- Create design specifications to provide instructions on garment sewing and assembly
- Create a master pattern for each size within a range of garment sizes, using charts, drafting instruments, computers, or grading devices
- Draw outlines of pattern parts by adapting or copying existing patterns, or by drafting new patterns
- Create a paper pattern from which to mass-produce a design concept
WHAT IT STILL CAN’T
- Test patterns by making and fitting sample garments
- Trace outlines of paper onto cardboard patterns, and cut patterns into parts to make templates
- Trace outlines of specified patterns onto material, and cut fabric, using scissors
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