Not Very Resilient

Last Update: 10/7/2026

AI Resilience Score for Metal/Plastic Patternmaker:

28.7%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Medium-high

Methodology and Scoring Rationale

To score how resilient metal and plastic patternmaking is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For metal and plastic patternmakers, six of eight sources had data, with Adaptive Capacity and Anthropic missing. AI exposure was split: our AI Resilience Model saw meaningful human skill involved, while Will Robots Take My Job rated exposure high and Microsoft landed in the middle. Weak hiring and pay outlooks from BLS Opportunity Score and Wage Bill pulled the score down, and that combination of disagreement and low demand signals medium-high confidence in a "Not Very Resilient" label.

AI Resilience Report forPatternmakers, Metal and Plastic

$58,000 median salary•100 annual openings•SOC Code: 51-4062.00

Patternmakers, Metal and Plastic are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Patternmaking earns a "Not Very Resilient" label because some of its most important early steps, like reading 3D models and generating technical drawings, are being handled more and more by AI tools built into popular software like Siemens Solid Edge and Autodesk Fusion. On top of that, 3D-printed sand molds are letting foundries skip the pattern-making process entirely for certain prototype jobs, which shrinks the number of situations where a patternmaker is needed at all.

Learn more about how you can thrive in this position

This role is not very resilient

Patternmaking earns a "Not Very Resilient" label because some of its most important early steps, like reading 3D models and generating technical drawings, are being handled more and more by AI tools built into popular software like Siemens Solid Edge and Autodesk Fusion. On top of that, 3D-printed sand molds are letting foundries skip the pattern-making process entirely for certain prototype jobs, which shrinks the number of situations where a patternmaker is needed at all.

Read full analysis

Analysis of current AI resilience

Metal/Plastic Patternmaker

Updated quarterly

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Latest AI news for Metal/Plastic Patternmaker

These articles highlight the evolving landscape for Patternmakers in metal and plastic careers amidst AI advancements. For instance, a report shows a 74/100 risk of AI replacement for these roles, emphasizing the need to adapt to new technologies. Another article reveals AI algorithms can significantly enhance material efficiency and production processes, which can lead to improved job outcomes. By understanding these trends, students can better prepare for a resilient career, leveraging AI to enhance their skills and remain valuable in the workforce.

More Career Info

Career: Patternmakers, Metal and Plastic

They create designs and models for metal and plastic parts, which are used to guide machines in making the final products.

Employment & Wage Data

Median Wage

$58,000

Jobs (2025)

1,500

Growth (2025-35)

-22.8%

Annual Openings

100

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

90% ResilienceCore Task

Clean and finish patterns or templates, using emery cloths, files, scrapers, and power grinders.

2

90% ResilienceSupplemental

Apply plastic-impregnated fabrics or coats of sealing wax or lacquer to patterns used to produce plastic.

3

88% ResilienceCore Task

Assemble pattern sections, using hand tools, bolts, screws, rivets, glue, or welding equipment.

4

88% ResilienceCore Task

Construct platforms, fixtures, and jigs for holding and placing patterns.

5

86% ResilienceCore Task

Repair and rework templates and patterns.

6

85% ResilienceCore Task

Paint or lacquer patterns.

7

82% ResilienceCore Task

Set up and operate machine tools, such as milling machines, lathes, drill presses, and grinders, to machine castings or patterns.

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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