68
/100

SOC 51-7031

Model Makers, Wood

High RiskFrey/Osborne: 96.0%

Risk Score

โš ๏ธ

68/100

High Risk

US Employment

๐Ÿ‘ฅ

360

Total workers

Median Wage

๐Ÿ’ฐ

$52K

$25K โ€“ $96K

Projected Growth

๐Ÿ“ˆ

-4.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

59/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Model Makers, Wood face a risk score of 68/100 โ€” 24 points above the national average of 44. With 59/100 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 $52K ($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 68/100, Model Makers, Wood faces moderate automation pressure. While tasks like predictive maintenance reducing manual inspection roles are increasingly handled by AI, the role retains significant human elements. The 360 workers in this occupation should focus on strengthening skills in setup and calibration of custom production runs and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Model Makers, Wood?

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

โš ๏ธ Top Risk Factors

1

Predictive maintenance reducing manual inspection roles

2

Automated CNC programming and machine operation

3

Cobots handling repetitive material handling tasks

4

Smart factory scheduling and production optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

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, and consult with designers 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, screws, and other fasteners.

โ€ข

Verify dimensions and contours of models during hand-forming processes, using templates 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

Plan, lay out, and draw outlines of units, sectional patterns, or full-scale mock-ups of products.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

โ€ข

Presentation software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Design

โ€ข

Building and Construction

โ€ข

Engineering and Technology

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$52K
+$6K

National avg: $46K

Risk Score68/100
+24

National avg: 44/100

GenAI Exposure59/100
+21

National avg: 38/100

Projected Growth-4.5%
-8.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K61%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K51%
Fabric and Apparel Patternmakers33$68K70%