Will AI replace Model Makers, Wood?
Estimated risk score: 15 out of 100
Very low 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 (0 to 34).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-7031.00 · Production
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: 1 of its 14 rated tasks. In O*NET’s words.
- Maintain pattern records for reference.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 11 of its 14 rated tasks; the first 6 are shown. In O*NET’s words.
- Build jigs that can be used as guides for assembling oversized or special types of box shooks.
- Construct wooden models, patterns, templates, full scale mock-ups, and molds for parts of products and production tools.
- Fabricate work aids such as scrapers or templates.
- Fit, fasten, and assemble wood parts together to form patterns, models, or sections, using glue, nails, dowels, bolts, screws, and other fasteners.
- Mark identifying information on patterns, parts, and templates to indicate assembly methods and details.
- Select wooden stock, determine layouts, and mark layouts of parts on stock, using precision equipment such as scribers, squares, and protractors.
What the job is
Construct full-size and scale wooden precision models of products. Includes wood jig builders and loft workers.
Also called: Sample Builder, Lofter, Builder, Jig Builder, Loft Worker, Wood Carver, Wood Craftsman, Wood Last Maker.
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