61
/100

SOC 51-7011

Cabinetmakers and Bench Carpenters

High RiskFrey/Osborne: 92.0%

Risk Score

โš ๏ธ

61/100

High Risk

US Employment

๐Ÿ‘ฅ

79,540

Total workers

Median Wage

๐Ÿ’ฐ

$46K

$35K โ€“ $63K

Projected Growth

๐Ÿ“ˆ

-1.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

42/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Cabinetmakers and Bench Carpenters face a risk score of 61/100 โ€” 17 points above the national average of 44. With only 42/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $46K. 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 61/100, Cabinetmakers and Bench Carpenters faces moderate automation pressure. While tasks like ai quality inspection via computer vision systems are increasingly handled by AI, the role retains significant human elements. The 79,540 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 Cabinetmakers and Bench Carpenters?

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

โš ๏ธ Top Risk Factors

1

AI quality inspection via computer vision systems

2

Predictive maintenance reducing manual inspection roles

3

Industrial robotics replacing manual assembly 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

Verify dimensions or check the quality or fit of pieces to ensure adherence to specifications.

โ€ข

Produce or assemble components of articles, such as store fixtures, office equipment, cabinets, or high-grade furniture.

โ€ข

Measure and mark dimensions of parts on paper or lumber stock prior to cutting, following blueprints, to ensure a tight fit and quality product.

โ€ข

Set up or operate machines, including power saws, jointers, mortisers, tenoners, molders, or shapers, to cut, mold, or shape woodstock or wood substitutes.

โ€ข

Establish the specifications of articles to be constructed or repaired, or plan the methods or operations for shaping or assembling parts, based on blueprints, drawings, diagrams, or oral or written instructions.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Project management software

โ€ข

Facilities management software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

Building and Construction

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Design

๐Ÿ“Š vs National Average

Median Wage$46K
$-290

National avg: $46K

Risk Score61/100
+17

National avg: 44/100

GenAI Exposure42/100
+4

National avg: 38/100

Projected Growth-1.6%
-5.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K67%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K57%
Fabric and Apparel Patternmakers33$68K71%