Share and intensity of work current AI systems can materially affect.
SOC 47-2061
Construction Laborers AI displacement risk
Site preparation, material handling, and demolition are physical work in unstructured environments where robotics remain primitive. Layout tools, laser guidance, and equipment automation assist the work without removing the worker.
Likely potential for exposed tasks to move to software after workflow integration.
Construction robotics target repetitive factory tasks, not variable job sites. Laborers who use the role as a springboard into a licensed trade capture the strongest wage growth.
Distribution
Where Construction Laborers sits across 620 tracked roles
Displacement pressure 24 — higher than 32% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
27 O*NET task statements matched to SOC 47-2061. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $47,120 (May 2025, US national). The latest BLS row matched SOC 47-2061.
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 Construction Laborers
SOC 47-2061 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 24/100 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 Construction Laborers
The current evidence import matched 27 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 tasks27
SOC47-2061
- Core task / ID 11472
Tend pumps, compressors, or generators to provide power for tools, machinery, or equipment or to heat or move materials, such as asphalt.
- Core task / ID 11465
Lubricate, clean, or repair machinery, equipment, or tools.
- Core task / ID 11458
Signal equipment operators to facilitate alignment, movement, or adjustment of machinery, equipment, or materials.
- Core task / ID 11456
Read plans, instructions, or specifications to determine work activities.
- Core task / ID 11461
Measure, mark, or record openings or distances to layout areas where construction work will be performed.
- Core task / ID 11455
Clean or prepare construction sites to eliminate possible hazards.
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
Prepare and clean job sites
Exposure 20, automation 10%, augmentation 14%.
O*NET evidence: Clean or prepare construction sites to eliminate possible hazards. (ID 11455)
Load and distribute materials
Exposure 28, automation 18%, augmentation 16%.
O*NET evidence: Load, unload, or identify building materials, machinery, or tools, distributing them to... (ID 11462)
Read plans and measure layouts
Exposure 40, automation 16%, augmentation 48%.
O*NET evidence: Measure, mark, or record openings or distances to layout areas where construction work ... (ID 11461)
Assist craft workers
Exposure 18, automation 6%, augmentation 26%.
O*NET evidence: Provide assistance to craft workers, such as carpenters, plasterers, or masons. (ID 11471)
TaskExposureAutomationAugmentation
Prepare and clean job sites2010%14%
Load and distribute materials2818%16%
Read plans and measure layouts4016%48%
Assist craft workers186%26%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowCarpenter Apprentice
Training horizon: 12-48 months. Skill overlap 64. Wage preservation signal 128.
- Enter a registered apprenticeship
- Build tool proficiency
- Log supervised hours
adjacent role
LowConstruction Equipment Operator
Training horizon: 3-9 months. Skill overlap 60. Wage preservation signal 126.
- Get equipment certifications
- Practice on simulators
- Study grade and site plans
Comparison guides
Compare the next move before you commit
12-48 months
Construction Laborers to Carpenter Apprentice
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Construction Laborers into Carpenter Apprentice.
3-9 months
Construction Laborers to Construction Equipment Operator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Construction Laborers into Construction Equipment Operator.
What the AI risk score means for Construction Laborers
The displacement pressure score for Construction Laborers is 24. 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. Load and distribute materials carries 18% automation pressure, while Read plans and measure layouts carries 48% 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: $47,120 (May 2025, US national). Employment context: Very large entry point into the construction trades. Typical education: No formal educational credential.
Wage vulnerability is 66, 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.
- Low displacement pressure
- Site variability resists robotics
- Trade apprenticeship is the wage ladder
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Construction Laborers, 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.
Site safety
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.
Equipment basics
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.
Plan reading
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.
Physical reliability
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 Carpenter Apprentice, such as enter a registered apprenticeship.
- By 90 days, compare internal openings and external postings for Carpenter Apprentice or Construction Equipment Operator and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Construction Laborers
Will AI replace Construction Laborers?
Site preparation, material handling, and demolition are physical work in unstructured environments where robotics remain primitive. Layout tools, laser guidance, and equipment automation assist the work without removing the worker. 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 Construction Laborers work are most exposed to AI?
Load and distribute materials and Read plans and measure layouts show the strongest automation pressure in this model. Read plans and measure layouts and Assist craft workers are better treated as AI-augmented work.
What should Construction Laborers learn next?
Start with Site safety, Equipment basics, Plan reading. The most practical adjacent paths in this model are Carpenter Apprentice and Construction Equipment Operator.
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
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 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