Will AI replace Craft Artists?
Estimated risk score: 33 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (14 to 52).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 27-1012.00 · Arts, Design, Entertainment, Sports, and Media
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 2 of its 15 rated tasks. In O*NET’s words.
- Advertise products and work, using media such as internet advertising and brochures.
- Develop designs using specialized computer software.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 7 of its 15 rated tasks; the first 6 are shown. In O*NET’s words.
- Apply finishes to objects being crafted.
- 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.
- Select materials for use based on strength, color, texture, balance, weight, size, malleability and other characteristics.
- Confer with customers to assess customer needs or obtain feedback.
- Fabricate patterns or templates to guide craft production.
What the job is
Create or reproduce handmade objects for sale and exhibition using a variety of techniques, such as welding, weaving, pottery, and needlecraft.
Also called: Fiber Artist, Textile Artist, Copyist, Hand Potter, Hand-Weaver, Taxidermist, Calligrapher, Candle Maker.
Closest jobs we score by hand
In the same field (Arts, Design, Entertainment, Sports, and Media). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate