63
/100

SOC 51-7042

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

High RiskFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

63/100

High Risk

US Employment

๐Ÿ‘ฅ

63,350

Total workers

Median Wage

๐Ÿ’ฐ

$40K

$31K โ€“ $54K

Projected Growth

๐Ÿ“ˆ

-1.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

36/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Woodworking Machine Setters, Operators, and Tenders, Except Sawing face a risk score of 63/100 โ€” 19 points above the national average of 44. With only 36/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $40K. 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 63/100, Woodworking Machine Setters, Operators, and Tenders, Except Sawing 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 63,350 workers in this occupation should focus on strengthening skills in handling non-standard materials and configurations and troubleshooting complex equipment malfunctions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Woodworking Machine Setters, Operators, and Tenders, Except Sawing?

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

Cobots handling repetitive material handling tasks

4

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling non-standard materials and configurations

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

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

Set up, program, operate, or tend computerized or manual woodworking machines, such as drill presses, lathes, shapers, routers, sanders, planers, or wood-nailing machines.

โ€ข

Examine finished workpieces for smoothness, shape, angle, depth-of-cut, or conformity to specifications and verify dimensions, visually and using hands, rules, calipers, templates, or gauges.

โ€ข

Start machines, adjust controls, and make trial cuts to ensure that machinery is operating properly.

โ€ข

Monitor operation of machines and make adjustments to correct problems and ensure conformance to specifications.

โ€ข

Examine raw woodstock for defects and to ensure conformity to size and other specification standards.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Graphics or photo imaging software

โ€ข

Desktop publishing software

โ€ข

Operating system software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Production and Processing

โ€ข

Mathematics

โ€ข

Public Safety and Security

โ€ข

Building and Construction

๐Ÿ“Š vs National Average

Median Wage$40K
$-6K

National avg: $46K

Risk Score63/100
+19

National avg: 44/100

GenAI Exposure36/100
-2

National avg: 38/100

Projected Growth-1.8%
-5.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K61%
Fabric and Apparel Patternmakers33$68K75%