60
/100

SOC 51-9124

Coating, Painting, and Spraying Machine Setters, Operators, and Tenders

ElevatedFrey/Osborne: 91.0%

Risk Score

โš ๏ธ

60/100

Elevated

US Employment

๐Ÿ‘ฅ

159,500

Total workers

Median Wage

๐Ÿ’ฐ

$48K

$35K โ€“ $73K

Projected Growth

๐Ÿ“ˆ

+0.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

34/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Coating, Painting, and Spraying Machine Setters, Operators, and Tenders face a risk score of 60/100 โ€” 16 points above the national average of 44. With only 34/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $48K ($1K 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 60/100, Coating, Painting, and Spraying Machine Setters, Operators, and Tenders faces moderate automation pressure. While tasks like industrial robotics replacing manual assembly tasks are increasingly handled by AI, the role retains significant human elements. The 159,500 workers in this occupation should focus on strengthening skills in setup and calibration of custom production runs and handling non-standard materials and configurations to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Coating, Painting, and Spraying Machine Setters, Operators, and Tenders?

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

โš ๏ธ Top Risk Factors

1

Industrial robotics replacing manual assembly tasks

2

Smart factory scheduling and production optimization

3

Predictive maintenance reducing manual inspection roles

4

Cobots handling repetitive material handling tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Setup and calibration of custom production runs

โœ“

Handling non-standard materials and configurations

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

Dispose of hazardous waste in an appropriate manner.

โ€ข

Hold or position spray guns to direct spray onto articles.

โ€ข

Spray prepared surfaces with specified amounts of primers and decorative or finish coatings.

โ€ข

Monitor painting operations to identify flaws, such as blisters or streaks, and correct their causes.

โ€ข

Disassemble, clean, and reassemble sprayers or power equipment, using solvents, wire brushes, and cloths.

๐Ÿ’ป Technology Skills

โ€ข

Inventory management software

โ€ข

Facilities management software

โ€ข

Materials requirements planning logistics and supply chain software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Production and Processing

โ€ข

Education and Training

โ€ข

Chemistry

๐Ÿ“Š vs National Average

Median Wage$48K
+$1K

National avg: $46K

Risk Score60/100
+16

National avg: 44/100

GenAI Exposure34/100
-4

National avg: 38/100

Projected Growth0.7%
-3.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K65%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K55%
Fabric and Apparel Patternmakers33$68K84%