Share and intensity of work current AI systems can materially affect.
SOC 47-2141
Painters, Construction and Maintenance AI displacement risk
Surface preparation, masking, and coating application in variable conditions are physical work robots perform only on flat factory lines. Color-matching software and estimating tools assist; prep judgment and finish quality stay manual.
Likely potential for exposed tasks to move to software after workflow integration.
Spray robots handle production-line coating, not buildings. The trade's automation story is better tools — sprayers, lifts, estimating apps — not fewer painters, and repainting demand recurs indefinitely.
Distribution
Where Painters, Construction and Maintenance sits across 620 tracked roles
Displacement pressure 14 — higher than 8% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
17 O*NET task statements matched to SOC 47-2141. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $49,400 (May 2025, US national). The latest BLS row matched SOC 47-2141.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Painters, Construction and Maintenance
SOC 47-2141 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Painters, Construction and Maintenance
The current evidence import matched 17 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks17
SOC47-2141
- Core task / ID 11511
Cover surfaces with dropcloths or masking tape and paper to protect surfaces during painting.
- Core task / ID 11516
Read work orders or receive instructions from supervisors or homeowners to determine work requirements.
- Core task / ID 11514
Apply paint, stain, varnish, enamel, or other finishes to equipment, buildings, bridges, or other structures, using brushes, spray guns, or rollers.
- Core task / ID 11512
Fill cracks, holes, or joints with caulk, putty, plaster, or other fillers, using caulking guns or putty knives.
- Core task / ID 11523
Smooth surfaces, using sandpaper, scrapers, brushes, steel wool, or sanding machines.
- Core task / ID 11517
Erect scaffolding or swing gates, or set up ladders, to work above ground level.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Apply paints and finishes
Exposure 16, automation 7%, augmentation 22%.
O*NET evidence: Apply paint, stain, varnish, enamel, or other finishes to equipment, buildings, bridges... (ID 11514)
Prepare and protect surfaces
Exposure 18, automation 8%, augmentation 26%.
O*NET evidence: Cover surfaces with dropcloths or masking tape and paper to protect surfaces during pai... (ID 11511)
Estimate materials and costs
Exposure 46, automation 24%, augmentation 58%.
O*NET evidence: Calculate amounts of required materials and estimate costs, based on surface measuremen... (ID 11515)
Match colors and select finishes
Exposure 32, automation 15%, augmentation 52%.
O*NET evidence: Mix and match colors of paint, stain, or varnish with oil or thinning and drying additi... (ID 11520)
TaskExposureAutomationAugmentation
Apply paints and finishes167%22%
Prepare and protect surfaces188%26%
Estimate materials and costs4624%58%
Match colors and select finishes3215%52%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowPainting Foreman
Training horizon: 2-4 months. Skill overlap 80. Wage preservation signal 120.
- Run crew schedules
- Own prep quality standards
- Track job costs
credentialed transition
LowIndustrial Coatings Applicator
Training horizon: 3-9 months. Skill overlap 62. Wage preservation signal 128.
- Earn coatings certifications
- Learn specification systems
- Practice containment methods
Comparison guides
Compare the next move before you commit
2-4 months
Painters, Construction and Maintenance to Painting Foreman
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Painters, Construction and Maintenance into Painting Foreman.
3-9 months
Painters, Construction and Maintenance to Industrial Coatings Applicator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Painters, Construction and Maintenance into Industrial Coatings Applicator.
What the AI risk score means for Painters, Construction and Maintenance
The displacement pressure score for Painters, Construction and Maintenance is 14. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Estimate materials and costs carries 24% automation pressure, while Estimate materials and costs carries 58% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $49,400 (May 2025, US national). Employment context: Large finishing trade across residential and commercial work. Typical education: On-the-job training; apprenticeship available.
Wage vulnerability is 56, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Very low displacement pressure
- Repaint demand recurs forever
- Estimating tools speed quoting
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Painters, Construction and Maintenance, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Surface prep and coating technique
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Application technique
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Estimating
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Safety procedures
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Painting Foreman, such as run crew schedules.
- By 90 days, compare internal openings and external postings for Painting Foreman or Industrial Coatings Applicator and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Painters, Construction and Maintenance
Will AI replace Painters, Construction and Maintenance?
Surface preparation, masking, and coating application in variable conditions are physical work robots perform only on flat factory lines. Color-matching software and estimating tools assist; prep judgment and finish quality stay manual. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Painters, Construction and Maintenance work are most exposed to AI?
Estimate materials and costs and Match colors and select finishes show the strongest automation pressure in this model. Estimate materials and costs and Match colors and select finishes are better treated as AI-augmented work.
What should Painters, Construction and Maintenance learn next?
Start with Surface prep and coating technique, Application technique, Estimating. The most practical adjacent paths in this model are Painting Foreman and Industrial Coatings Applicator.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics