50
/100

SOC 47-2141

Painters, Construction and Maintenance

ElevatedFrey/Osborne: 75.0%

Risk Score

โš ๏ธ

50/100

Elevated

US Employment

๐Ÿ‘ฅ

224,180

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$37K โ€“ $77K

Projected Growth

๐Ÿ“ˆ

+3.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Painters, Construction and Maintenance face a risk score of 50/100 โ€” 6 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 $49K ($2K 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 50/100, Painters, Construction and Maintenance faces moderate automation pressure. While tasks like drone-based site surveying and inspection are increasingly handled by AI, the role retains significant human elements. The 224,180 workers in this occupation should focus on strengthening skills in navigating unpredictable and unstructured job sites and fine motor craftsmanship in custom installations to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Painters, Construction and Maintenance?

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

โš ๏ธ Top Risk Factors

1

Drone-based site surveying and inspection

2

Autonomous heavy equipment operation

3

Robotic bricklaying and prefabrication automation

4

3D printing of building components

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable and unstructured job sites

โœ“

Fine motor craftsmanship in custom installations

โœ“

Real-time safety judgment in hazardous conditions

โœ“

Adapting to unique building configurations on-site

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

Fill cracks, holes, or joints with caulk, putty, plaster, or other fillers, using caulking guns or putty knives.

โ€ข

Cover surfaces with dropcloths or masking tape and paper to protect surfaces during painting.

โ€ข

Smooth surfaces, using sandpaper, scrapers, brushes, steel wool, or sanding machines.

โ€ข

Read work orders or receive instructions from supervisors or homeowners to determine work requirements.

โ€ข

Apply primers or sealers to prepare new surfaces, such as bare wood or metal, for finish coats.

๐Ÿ’ป Technology Skills

โ€ข

Customer relationship management CRM software

โ€ข

Graphics or photo imaging software

โ€ข

Project management software

โ€ข

Analytical or scientific software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Public Safety and Security

โ€ข

Administration and Management

โ€ข

English Language

โ€ข

Customer and Personal Service

โ€ข

Building and Construction

๐Ÿ“Š vs National Average

Median Wage$49K
+$2K

National avg: $46K

Risk Score50/100
+6

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth3.8%
+0.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K65%
Extraction Workers29$56K72%
Electricians32$62K81%