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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Not Very Resilient
Last Update: 5/19/2026
Your role’s AI Resilience Score is
29.3%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forPatternmakers, Wood
Patternmakers, Wood are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Wood patternmaking is labeled "Not Very Resilient" because the core of the job — creating physical patterns for metal casting — is increasingly being handled by 3D printers and CNC machines that can work faster, overnight, and without a human in the room. Technologies like 3D sand printing are allowing foundries to skip traditional pattern shops entirely for many jobs, which directly shrinks the demand for hand-crafted wood patterns.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is not very resilient
Wood patternmaking is labeled "Not Very Resilient" because the core of the job — creating physical patterns for metal casting — is increasingly being handled by 3D printers and CNC machines that can work faster, overnight, and without a human in the room. Technologies like 3D sand printing are allowing foundries to skip traditional pattern shops entirely for many jobs, which directly shrinks the demand for hand-crafted wood patterns.
Read full analysisAnalysis of Current AI Resilience
Patternmakers, Wood
Updated Quarterly • Last Update: 5/14/2026
How is AI changing Patternmakers, Wood jobs?
If you're curious about wood patternmaking, here's an honest picture: the craft is being reshaped more by 3D printing and CNC machining than by "AI" in the chatbot sense, but smart software is increasingly involved in both. In January 2026, Sheffield Forgemasters installed a robot-guided hybrid 3D-printer-and-milling system [1] to make large casting patterns, with leaders saying it lets patternmakers focus on complementary work while machines run autonomously overnight. A feature in SME's magazine reported that additive manufacturing is revolutionizing casting with faster lead times, complex geometries, and new supply-chain resilience, directly replacing some wood tooling with printed sand molds and resin patterns.
Industry supplier Covia notes that foundries are turning to 3D sand printing [2] to skip traditional pattern shops for short-run or complex jobs. AI itself shows up mostly as an augmentation layer: the American Foundry Society launched an AI search tool in 2025 [3] to help metalcasting professionals find technical knowledge faster, and CNC controls from Siemens, FANUC, and Mazak now use AI to analyze spindle torque and adjust toolpaths in real time [4] — helpful for the milling work that often shapes modern patterns.
Sources
How fast is AI adoption growing for Patternmakers, Wood?
Adoption is happening, but slowly and unevenly. Wood patternmaking is a tiny, highly skilled trade with custom one-off jobs, so AI vendors haven't built tools aimed at gluing fillets or selecting lumber — those tasks remain hands-on. The BLS projects overall U.S. job growth of just 3.1% through 2034 [5], with manufacturing production occupations facing continued decline, which pressures shops to invest in automation.
Foundry consultants stress that the real challenge of AI is change management, not algorithms [1] — small pattern shops often lack the IT staff to deploy it. Hopeful news: human judgment for wood selection, fitting, and finishing remains valuable, and those who learn CAD, CNC, and 3D-printing alongside traditional skills will be the most resilient.
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More Career Info
Career: Patternmakers, Wood
They create detailed wooden models or patterns that are used to make molds for casting metal or other materials in manufacturing.
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Employment & Wage Data
Median Wage
$52,520
Jobs (2024)
500
Growth (2024-34)
-5.0%
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Fit, fasten, and assemble wood parts together to form patterns, models, or sections, using glue, nails, dowels, bolts, and screws.
2
Select lumber to be used for patterns.
3
Correct patterns to compensate for defects in castings.
4
Glue fillets along interior angles of patterns.
5
Maintain pattern records for reference.
6
Compute dimensions, areas, volumes, and weights.
7
Trim, smooth, and shape surfaces, and plane, shave, file, scrape, and sand models to attain specified shapes, using hand tools.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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