67
/100

SOC 51-7032

Patternmakers, Wood

High RiskFrey/Osborne: 91.0%

Risk Score

โš ๏ธ

67/100

High Risk

US Employment

๐Ÿ‘ฅ

180

Total workers

Median Wage

๐Ÿ’ฐ

$53K

$41K โ€“ $83K

Projected Growth

๐Ÿ“ˆ

-5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

57/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Patternmakers, Wood face a risk score of 67/100 โ€” 23 points above the national average of 44. With 57/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $53K ($6K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 67/100, Patternmakers, Wood faces moderate automation pressure. While tasks like smart factory scheduling and production optimization are increasingly handled by AI, the role retains significant human elements. The 180 workers in this occupation should focus on strengthening skills in coordinating workflow across diverse production teams and setup and calibration of custom production runs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Patternmakers, Wood?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Smart factory scheduling and production optimization

2

Industrial robotics replacing manual assembly tasks

3

AI quality inspection via computer vision systems

4

Automated CNC programming and machine operation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating workflow across diverse production teams

โœ“

Setup and calibration of custom production runs

โœ“

Troubleshooting complex equipment malfunctions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Read blueprints, drawings, or written specifications to determine sizes and shapes of patterns and required machine setups.

โ€ข

Fit, fasten, and assemble wood parts together to form patterns, models, or sections, using glue, nails, dowels, bolts, and screws.

โ€ข

Lay out patterns on wood stock and draw outlines of units, sectional patterns, or full-scale mock-ups of products, based on blueprint specifications and sketches, and using marking and measuring devices.

โ€ข

Trim, smooth, and shape surfaces, and plane, shave, file, scrape, and sand models to attain specified shapes, using hand tools.

โ€ข

Divide patterns into sections according to shapes of castings to facilitate removal of patterns from molds.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Computer aided manufacturing CAM software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

Design

โ€ข

Engineering and Technology

โ€ข

Mechanical

โ€ข

Building and Construction

๐Ÿ“Š vs National Average

Median Wage$53K
+$6K

National avg: $46K

Risk Score67/100
+23

National avg: 44/100

GenAI Exposure57/100
+19

National avg: 38/100

Projected Growth-5.0%
-8.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K59%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K69%
Fabric and Apparel Patternmakers33$68K83%