Headline risk
2%
Very Low RiskPlasterers and stucco masons
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Apply interior or exterior plaster, cement, stucco, or similar materials. May also set ornamental plaster.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 56,020
Employment 2024
24.2K
Projected Change (2024–34)
4.1%
Openings (2024–34)
1.9K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Clean job sites. AI use: 0%
- 2. Cover surfaces such as windows, doors, or sidewalks to protect from splashing. AI use: 0%
- 3. Determine materials needed to complete the job and place orders accordingly. AI use: 0%
- 4. Create decorative textures in finish coat, using brushes or trowels, sand, pebbles, or stones. AI use: 0%
- 5. Apply coats of plaster or stucco to walls, ceilings, or partitions of buildings, using trowels, brushes, or spray guns. AI use: 0%
- 6. Mix mortar and plaster to desired consistency or direct workers who perform mixing. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 39.2 · 51K employed
Under 25: 20% · 25–54: 69% · 55+: 12%
Related
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
major_group_fallback · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.