Will AI replace Patternmakers, Wood?
Estimated risk score: 19 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 38).
For the occupation as a whole, from ratings of its 20 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-7032.00 · 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: 4 of its 20 rated tasks. In O*NET’s words.
- Compute dimensions, areas, volumes, and weights.
- Maintain pattern records for reference.
- Estimate costs for patternmaking jobs.
- Inventory equipment and supplies, ordering parts and tools as necessary.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 14 of its 20 rated tasks; the first 6 are shown. In O*NET’s words.
- Collect and store patterns and lumber.
- Construct wooden models, templates, full scale mock-ups, jigs, or molds for shaping parts of products.
- Correct patterns to compensate for defects in castings.
- Divide patterns into sections according to shapes of castings to facilitate removal of patterns from molds.
- Finish completed products or models with shellac, lacquer, wax, or paint.
- Fit, fasten, and assemble wood parts together to form patterns, models, or sections, using glue, nails, dowels, bolts, and screws.
What the job is
Plan, lay out, and construct wooden unit or sectional patterns used in forming sand molds for castings.
Also called: Wood Pattern Maker, Forms Builder, Wood Die Maker, Woodshop Worker, Pattern Engineer, Wood Patternmaker, Mold Forms Builder, Wood Shop Moldmaker.
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