57
/100

SOC 47-3014

Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons

ElevatedFrey/Osborne: 94.0%

Risk Score

โš ๏ธ

57/100

Elevated

US Employment

๐Ÿ‘ฅ

7,220

Total workers

Median Wage

๐Ÿ’ฐ

$38K

$31K โ€“ $52K

Projected Growth

๐Ÿ“ˆ

+2.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons face a risk score of 57/100 โ€” 13 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 $38K. 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 57/100, Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons faces moderate automation pressure. While tasks like autonomous heavy equipment operation are increasingly handled by AI, the role retains significant human elements. The 7,220 workers in this occupation should focus on strengthening skills in adapting to unique building configurations on-site and fine motor craftsmanship in custom installations to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons?

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

โš ๏ธ Top Risk Factors

1

Autonomous heavy equipment operation

2

3D printing of building components

3

BIM-integrated automated progress tracking

4

AI project scheduling and resource optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Adapting to unique building configurations on-site

โœ“

Fine motor craftsmanship in custom installations

โœ“

Real-time safety judgment in hazardous conditions

โœ“

Client-facing consultation on custom project needs

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

Clean work areas and equipment.

โ€ข

Perform support duties to assist painters, paperhangers, plasterers, or masons.

โ€ข

Apply protective coverings, such as masking tape, to articles or areas that could be damaged or stained by work processes.

โ€ข

Erect scaffolding.

โ€ข

Fill cracks or breaks in surfaces of plaster articles or areas with putty or epoxy compounds.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Office suite software

โ€ข

Project management software

โ€ข

Spreadsheet software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Building and Construction

โ€ข

English Language

โ€ข

Administration and Management

โ€ข

Public Safety and Security

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$38K
$-8K

National avg: $46K

Risk Score57/100
+13

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth2.3%
-1.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K59%
Extraction Workers29$56K71%
Electricians32$62K80%