OBSERVED IN REAL USE · Anthropic 2026
5%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
26% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Develop concepts or creative ideas for craft objects
- Advertise products and work, using media such as internet advertising and brochures
- Develop product packaging, display, and pricing strategies
- Research craft trends, venues, and customer buying patterns to inspire designs and marketing strategies
- Sketch or draw objects to be crafted
WHAT IT STILL CAN’T
- Create functional or decorative objects by hand, using a variety of methods and materials
- Cut, shape, fit, join, mold, or otherwise process materials, using hand tools, power tools, or machinery
- Apply finishes to objects being crafted
- Select materials for use based on strength, color, texture, balance, weight, size, malleability and other characteristics
- Plan and attend craft shows to market products
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 26% 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