43
/100

SOC 51-6093

Upholsterers

ElevatedFrey/Osborne: 39.0%

Risk Score

โš ๏ธ

43/100

Elevated

US Employment

๐Ÿ‘ฅ

20,990

Total workers

Median Wage

๐Ÿ’ฐ

$46K

$32K โ€“ $64K

Projected Growth

๐Ÿ“ˆ

-1.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Upholsterers face a risk score of 43/100 โ€” 1 points below the national average of 44. With only 44/100 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 43/100, Upholsterers 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 20,990 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 Upholsterers?

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

Predictive maintenance reducing manual inspection roles

3

Cobots handling repetitive material handling tasks

4

Automated CNC programming and machine operation

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

โœ“

Coordinating workflow across diverse production teams

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

Fit, install, and secure material on frames, using hand tools, power tools, glue, cement, or staples.

โ€ข

Measure and cut new covering materials, using patterns and measuring and cutting instruments, following sketches and design specifications.

โ€ข

Build furniture up with loose fiber stuffing, cotton, felt, or foam padding to form smooth, rounded surfaces.

โ€ข

Make, restore, or create custom upholstered furniture, using hand tools and knowledge of fabrics and upholstery methods.

โ€ข

Read work orders, and apply knowledge and experience with materials to determine types and amounts of materials required to cover workpieces.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Enterprise resource planning ERP software

โ€ข

Accounting software

โ€ข

Process mapping and design software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Design

โ€ข

Customer and Personal Service

โ€ข

Mechanical

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$46K
$-120

National avg: $46K

Risk Score43/100
-1

National avg: 44/100

GenAI Exposure44/100
+6

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$68K80%