EXPOSURE TO AI
9%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
3%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
9% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Estimate how much a garment will cost to make, based on factors such as time and material requirements
- Develop, copy, or adapt designs for garments, and design patterns to fit measurements, applying knowledge of garment design, construction, styling, and fabric
- Examine tags on garments to determine alterations that are needed
WHAT IT STILL CAN’T
- Measure parts, such as sleeves or pant legs, and mark or pin-fold alteration lines
- Remove stitches from garments to be altered, using rippers or razor blades
- Sew garments, using needles and thread or sewing machines
- Let out or take in seams in suits and other garments to improve fit
- Fit and study garments on customers to determine required alterations
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 9% 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