EXPOSURE TO AI
5%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
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.
5% 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
- Determine spotting procedures and proper solvents, based on fabric and stain types
- Match sample colors, applying knowledge of bleaching agent and dye properties, and types, construction, conditions, and colors of articles
- Inspect soiled articles to determine sources of stains, to locate color imperfections, and to identify items requiring special treatment
WHAT IT STILL CAN’T
- Load articles into washers or dry-cleaning machines, or direct other workers to perform loading
- Start washers, dry cleaners, driers, or extractors, and turn valves or levers to regulate machine processes and the volume of soap, detergent, water, bleach, starch, and other additives
- Operate extractors and driers, or direct their operation
- Remove items from washers or dry-cleaning machines, or direct other workers to do so
- Sort and count articles removed from dryers, and fold, wrap, or hang them
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 5% 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