56
/100

SOC 51-9123

Painting, Coating, and Decorating Workers

ElevatedFrey/Osborne: 92.0%

Risk Score

โš ๏ธ

56/100

Elevated

US Employment

๐Ÿ‘ฅ

8,470

Total workers

Median Wage

๐Ÿ’ฐ

$41K

$28K โ€“ $63K

Projected Growth

๐Ÿ“ˆ

+1.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Painting, Coating, and Decorating Workers face a risk score of 56/100 โ€” 12 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $41K. 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 56/100, Painting, Coating, and Decorating Workers 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 8,470 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Painting, Coating, and Decorating Workers?

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

AI quality inspection via computer vision systems

3

Automated CNC programming and machine operation

4

Cobots handling repetitive material handling tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Coordinating workflow across diverse production teams

โœ“

Setup and calibration of custom production runs

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

Apply coatings, such as paint, ink, or lacquer, to protect or decorate workpiece surfaces, using spray guns, pens, or brushes.

โ€ข

Examine finished surfaces of workpieces to verify conformance to specifications and retouch any defective areas.

โ€ข

Clean and maintain tools and equipment, using solvents, brushes, and rags.

โ€ข

Read job orders and inspect workpieces to determine work procedures and materials required.

โ€ข

Select and mix ingredients to prepare coating substances according to specifications, using paddles or mechanical mixers.

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Office suite software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

English Language

โ€ข

Customer and Personal Service

โ€ข

Education and Training

โ€ข

Design

๐Ÿ“Š vs National Average

Median Wage$41K
$-5K

National avg: $46K

Risk Score56/100
+12

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth1.4%
-2.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K67%
Fabric and Apparel Patternmakers33$68K76%