Community Sentiment
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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace First-Line Supervisors of Construction Trades and Extraction Workers?
Task-level automation exposure for First-Line Supervisors of Construction Trades and Extraction Workers: 15 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
37%
weighted task index
15 of 15 tasks scored
Median Salary
$79,920 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
812,210 people hold this job — size, not growth
Projected 2025–35
+5.0%
employment change
67,000 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$37,860 – $109,570
Highest medians
Washington $109,570
Illinois $105,750
New Jersey $105,510
Oregon $103,070
Hawaii $102,630
Lowest medians
Puerto Rico $37,860
Guam $51,370
Arkansas $61,230
Alabama $64,120
Mississippi $66,910
State figures come from the 47-1011 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 37%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 13%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 53%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 6%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 25/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
15 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 20%
3 tasks
Medium exposure (≥ 35%) 26%
4 tasks
Low exposure (below 35%) 54%
8 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#20291 · Core · 29% automatable
Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met.
decision support — AI can review specs/docs; physical project check is human
Monitor construction operations. Evaluate projects to determine compliance with technical specifications. Inspect equipment or tools to be used in construction or excavation.
#11424 · Core · 70% automatable
Read specifications, such as blueprints, to determine construction requirements or to plan procedures.
visual inspection — Specs reading aided, human validates requirements
Review blueprints or specifications to determine work requirements.
#11426 · Core · 28% automatable
Supervise, coordinate, or schedule the activities of construction or extractive workers.
decision support — AI aids scheduling; field coordination and conflict resolution human
Direct construction or extraction personnel. Coordinate construction project activities.
#11432 · Core · 20% automatable
Assign work to employees, based on material or worker requirements of specific jobs.
interpersonal — Directing crews in the field is human leadership work
Direct construction or extraction personnel.
#11428 · Core · 35% automatable
Coordinate work activities with other construction project activities.
decision support — AI aids scheduling; field coordination and conflict resolution human
Coordinate construction project activities.
#11425 · Core · 64% automatable
Estimate material or worker requirements to complete jobs.
data analysis — Material takeoffs from plans; human verifies quantities
Estimate materials requirements for projects. Estimate construction project labor requirements.
#11435 · Core · 20% automatable
Analyze worker or production problems and recommend solutions, such as improving production methods or implementing motivational plans.
interpersonal — Directing crews in the field is human leadership work
Direct construction or extraction personnel.
#11429 · Core · 55% automatable
Order or requisition materials or supplies.
decision support — Construction procurement needs human supplier judgment
Order construction or extraction materials or equipment.
#11434 · Core · 28% automatable
Train workers in construction methods, operation of equipment, safety procedures, or company policies.
physical manipulation — Construction training requires hands-on demonstration and safety
Train construction or extraction personnel.
#11430 · Core · 15% automatable
Locate, measure, and mark site locations or placement of structures or equipment, using measuring and marking equipment.
physical manipulation — Physical site dimension measurement
Measure work site dimensions. Mark reference points on construction materials.
#11427 · Core · 42% automatable
Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities.
interpersonal — On-site construction discussion is contextual, physical
Communicate with other construction or extraction personnel to discuss project details.
#11436 · Core · 35% automatable
Arrange for repairs of equipment or machinery.
decision support — AI aids scheduling; field coordination and conflict resolution human
Coordinate construction project activities.
#11433 · Core · 6% automatable
Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment.
physical manipulation — Physical assisting of skilled trades on site
Assist skilled construction or extraction personnel.
#11431 · Core · 80% automatable
Record information, such as personnel, production, or operational data on specified forms or reports.
data analysis — Record operational or environmental data into logs
Record operational or environmental data.
#11437 · Core · 20% automatable
Suggest or initiate personnel actions, such as promotions, transfers, or hires.
interpersonal — Directing crews in the field is human leadership work
Direct construction or extraction personnel.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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