Medium AI Risk Declining

Patternmakers, metal and plastic

SOC Code: 51-4062

Patternmakers, metal and plastic carries a 32% AI exposure score (Medium automation risk), with a median annual wage of $54,540 and -24.4% projected employment growth from 2024 to 2034 (BLS), affecting approximately 1,600 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
32% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-24.4%
2024–2034 (BLS)
-400 jobs
Median Annual Wage
$54,540
BLS May 2024
How wage figures are sourced →
The verdict

At 32% AI exposure, Patternmakers, metal and plastic sits 5 points below the 37.2% average across 832 U.S. occupations - more exposed than 37% of them. Most of its core tasks still require human judgment.

32%
AI exposure
37th
percentile
-24.4%
Job growth 2024–34
$54,540
Median wage

Where Patternmakers, metal and plastic sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Patternmakers, metal and plastic marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 63% by AI exposure Higher AI exposure than 37% of all 832 occupations.

Patternmakers, metal and plastic has ai exposure of 32%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Patternmakers, metal and plastic vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Patternmakers, metal and plastic is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk28.1%33.0%38%43.0%47.9%-25.9%-17.6%-9.4%-1.1%7.1%AI exposure (%) →Projected growth (%) →PatternmakersMiscellaneous assembFirst-line supervisoInspectorsWeldersPackagingMachinistsProduction workersElectricalBakersLaundryComputer numerically

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

1,600
Employment 2024
1,200
Projected 2034
-24.4%
Change (%)
-400
Change (jobs)

Occupation Insight

Patternmakers, metal and plastic (SOC 51-4062) carries an AI exposure score of 32%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 1,600 workers in this occupation in 2024, and projects a -24.4% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $54,540, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Patternmakers, metal and plastic. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Program computerized numerical control machine tools.
  2. 2. Verify conformance of patterns or template dimensions to specifications, using measuring instruments such as calipers, scales, and micrometers.
  3. 3. Set up and operate machine tools, such as milling machines, lathes, drill presses, and grinders, to machine castings or patterns.
  4. 4. Create computer models of patterns or parts, using modeling software.
  5. 5. Repair and rework templates and patterns.
  6. 6. Assemble pattern sections, using hand tools, bolts, screws, rivets, glue, or welding equipment.
  7. 7. Read and interpret blueprints or drawings of parts to be cast or patterns to be made, compute dimensions, and plan operational sequences.
  8. 8. Construct platforms, fixtures, and jigs for holding and placing patterns.
  9. 9. Clean and finish patterns or templates, using emery cloths, files, scrapers, and power grinders.
  10. 10. Design and create templates, patterns, or coreboxes according to work orders, sample parts, or mockups.

Key Skills Required

  • Operations Monitoring
  • Operation and Control
  • Quality Control Analysis
  • Reading Comprehension
  • Active Listening
  • Speaking
  • Critical Thinking
  • Monitoring
  • Complex Problem Solving
  • Judgment and Decision Making

Knowledge Areas

  • Production and Processing
  • Mechanical
  • Mathematics
  • Design
  • Engineering and Technology
  • Customer and Personal Service
  • Administration and Management
  • English Language
  • Administrative
  • Education and Training

Frequently Asked Questions

Will AI replace Patternmakers, metal and plastic?

Patternmakers, metal and plastic has an AI exposure score of 32%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Patternmakers, metal and plastic?

According to BLS Employment Projections 2024-2034, Patternmakers, metal and plastic is projected to decline by 24.4% over the decade. Current employment stands at approximately 1,600 workers.

What skills are needed for Patternmakers, metal and plastic?

Key skills for Patternmakers, metal and plastic include Operations Monitoring, Operation and Control, Quality Control Analysis, and others. Typical entry-level education is High school diploma or equivalent.

How much do Patternmakers, metal and plastic earn?

The median annual wage for Patternmakers, metal and plastic is $54,540, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Patternmakers, metal and plastic?

The typical entry-level education for Patternmakers, metal and plastic is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Patternmakers, metal and plastic?

Patternmakers, metal and plastic roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.6
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.